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Torrent Details
[Tutorialsplanet.NET] Udemy - Data Engineering Essentials Hands-on SQL Python and Spark
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Ebook/Course
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16.72 GB
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2
Leechers:
25
Downloads:
6
Uploaded:
Feb 16, 2022
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[Tutorialsplanet.NET] Udemy - Data Engineering Essentials Hands-on SQL Python and Spark
29. Programming Essentials using Python - Processing REST Payloads
6. Process REST Payload using Collection Operations.mp4
- 131.13 MB
7. Process REST Payload using Pandas.mp4
- 69.91 MB
4. Getting Started with requests.mp4
- 63.04 MB
5. Convert REST Payload to Python Objects.mp4
- 53.7 MB
3. Overview of Postman.mp4
- 47.32 MB
2. Using curl command.mp4
- 44.63 MB
1. Overview of REST APIs.mp4
- 26.04 MB
6. Process REST Payload using Collection Operations.srt
- 24.75 KB
7. Process REST Payload using Pandas.srt
- 16.43 KB
4. Getting Started with requests.srt
- 12.61 KB
3. Overview of Postman.srt
- 11.79 KB
5. Convert REST Payload to Python Objects.srt
- 7.98 KB
2. Using curl command.srt
- 7.74 KB
1. Overview of REST APIs.srt
- 5.55 KB
32. Data Copier - Getting Started
5. Quick Overview of Docker.mp4
- 115.68 MB
7. Create Postgres Container.mp4
- 68.61 MB
12. Create GitHub Project.mp4
- 63.97 MB
9. Overview of Postgres Database Commands.mp4
- 62.02 MB
8. Setup Postgres Database for development.mp4
- 52.4 MB
4. Setup Docker on Windows 10 Pro.mp4
- 46.13 MB
10. Setup Project using Pycharm.mp4
- 30.68 MB
11. Managing Dependencies for the project.mp4
- 29.9 MB
2. Problem Statement - Data Copier.mp4
- 25.09 MB
6. Prepare Dataset.mp4
- 14.28 MB
1. Introduction to Getting Started for Data copier.mp4
- 11.61 MB
3. Create Working Directory for the Project.mp4
- 8.73 MB
5. Quick Overview of Docker.srt
- 19.8 KB
7. Create Postgres Container.srt
- 16.48 KB
9. Overview of Postgres Database Commands.srt
- 16.07 KB
12. Create GitHub Project.srt
- 11.79 KB
4. Setup Docker on Windows 10 Pro.srt
- 10.75 KB
8. Setup Postgres Database for development.srt
- 9.38 KB
10. Setup Project using Pycharm.srt
- 7.57 KB
2. Problem Statement - Data Copier.srt
- 5.65 KB
11. Managing Dependencies for the project.srt
- 5.3 KB
1. Introduction to Getting Started for Data copier.srt
- 4.64 KB
6. Prepare Dataset.srt
- 3.12 KB
3. Create Working Directory for the Project.srt
- 2.65 KB
2.1 Problem Statement - Data Copier.html
- 164 B
10.1 Setup Project using Pycharm.html
- 160 B
12.1 Create GitHub Project.html
- 157 B
5.1 Quick Overview of Docker.html
- 157 B
7.1 Setup Postgres Database.html
- 156 B
8.1 Setup Postgres Database.html
- 156 B
11.1 Managing Dependencies for the project.html
- 154 B
9.1 Overview of Postgres Commands.html
- 153 B
1.1 Introduction to Getting Started for Data copier.html
- 148 B
6.1 Prepare Dataset.html
- 148 B
4.1 Setup Docker.html
- 145 B
23. Programming Essentials using Python - Basics of File IO using Python
12. Managing Files and Folders using Python.mp4
- 115.22 MB
3. Folders and Files.mp4
- 84.58 MB
10. Read csv into list of strings.mp4
- 58.97 MB
8. Overview of modes to write into files.mp4
- 49.72 MB
7. Write string to text file.mp4
- 37.38 MB
5. Overview of Retail Data.mp4
- 35.72 MB
6. Read text file into string.mp4
- 33.53 MB
11. Writing Strings to file in Append Mode.mp4
- 33.46 MB
4. File Paths and Names.mp4
- 28.31 MB
9. Overview of Delimited Strings.mp4
- 27.13 MB
1. Basics of File IO using Python - Introduction.mp4
- 19.15 MB
2. Overview of File IO.mp4
- 18.67 MB
12. Managing Files and Folders using Python.srt
- 23.38 KB
3. Folders and Files.srt
- 19.5 KB
8. Overview of modes to write into files.srt
- 13.11 KB
10. Read csv into list of strings.srt
- 11.21 KB
11. Writing Strings to file in Append Mode.srt
- 9.46 KB
5. Overview of Retail Data.srt
- 8.11 KB
7. Write string to text file.srt
- 7.97 KB
6. Read text file into string.srt
- 7.34 KB
9. Overview of Delimited Strings.srt
- 6.9 KB
4. File Paths and Names.srt
- 6.39 KB
1. Basics of File IO using Python - Introduction.srt
- 5.55 KB
2. Overview of File IO.srt
- 4.9 KB
28. Programming Essentials using Python - Processing JSON Data
5. Process JSON String.mp4
- 104.42 MB
6. Single JSON Document in Files.mp4
- 91.04 MB
9. Different JSON Formats supported by Pandas.mp4
- 79.88 MB
10. Common Use Cases for JSON.mp4
- 76.28 MB
11. Write to JSON files using json module.mp4
- 64.99 MB
4. Create JSON String.mp4
- 61.1 MB
8. Process JSON using Pandas.mp4
- 58.3 MB
7. Multiple JSON Documents in files.mp4
- 55.67 MB
12. Write to JSON files using pandas.mp4
- 49.45 MB
2. Overview of JSON.mp4
- 19.77 MB
3. JSON Data Types.mp4
- 14.72 MB
1. Processing JSON Data - Introduction.mp4
- 9.49 MB
5. Process JSON String.srt
- 21.1 KB
6. Single JSON Document in Files.srt
- 16.63 KB
10. Common Use Cases for JSON.srt
- 13.62 KB
9. Different JSON Formats supported by Pandas.srt
- 11.54 KB
11. Write to JSON files using json module.srt
- 10.86 KB
7. Multiple JSON Documents in files.srt
- 10.73 KB
8. Process JSON using Pandas.srt
- 9.14 KB
4. Create JSON String.srt
- 9.04 KB
12. Write to JSON files using pandas.srt
- 8.29 KB
2. Overview of JSON.srt
- 5.31 KB
3. JSON Data Types.srt
- 3.2 KB
1. Processing JSON Data - Introduction.srt
- 3.04 KB
42. Introduction to Hadoop eco system - Overview of HDFS
4. Copying files from local to HDFS.mp4
- 102.57 MB
3. Managing HDFS Directories.mp4
- 93.79 MB
12. HDFS File Permissions.mp4
- 68.92 MB
6. Getting Files Metadata.mp4
- 66.85 MB
9. HDFS Replication Factor.mp4
- 57.52 MB
13. Overriding Properties.mp4
- 42.7 MB
2. Listing HDFS Files.mp4
- 41.48 MB
5. Copying files from HDFS to local.mp4
- 40.85 MB
8. HDFS Block Size.mp4
- 40.64 MB
7. Previewing Data in HDFS Files.mp4
- 36.65 MB
1. Getting help or usage.mp4
- 34.51 MB
10. Getting HDFS Storage Usage.mp4
- 15.04 MB
11. USing HDFS Stat Commands.mp4
- 10.79 MB
4. Copying files from local to HDFS.srt
- 18.68 KB
3. Managing HDFS Directories.srt
- 17.71 KB
12. HDFS File Permissions.srt
- 13.46 KB
6. Getting Files Metadata.srt
- 11.75 KB
9. HDFS Replication Factor.srt
- 11.39 KB
7. Previewing Data in HDFS Files.srt
- 9.48 KB
13. Overriding Properties.srt
- 9.3 KB
5. Copying files from HDFS to local.srt
- 8.56 KB
8. HDFS Block Size.srt
- 7.45 KB
1. Getting help or usage.srt
- 6 KB
2. Listing HDFS Files.srt
- 5.75 KB
10. Getting HDFS Storage Usage.srt
- 3.49 KB
11. USing HDFS Stat Commands.srt
- 2.29 KB
4.1 Copying files from local to HDFS.html
- 152 B
5.1 Copying files from HDFS local.html
- 152 B
7.1 Previewing Data in HDFS Files.html
- 149 B
10.1 Getting HDFS Storage Usage.html
- 146 B
3.1 Managing HDFS Directories.html
- 145 B
11.1 Using HDFS Stat Commands.html
- 143 B
9.1 HDFS Replication Factor.html
- 143 B
1.1 Getting help or usage.html
- 141 B
12.1 HDFS File Permissions.html
- 141 B
13.1 Overriding Properties.html
- 141 B
6.1 Getting Files Metadata.html
- 141 B
2.1 Listing HDFS Files.html
- 138 B
8.1 HDFS Block Size.html
- 134 B
20. Programming Essentials using Python - Manipulating Collections using loops
14. Joining Data Sets.mp4
- 102.56 MB
12. Get Revenue Details per Order.mp4
- 99.79 MB
9. Performing Total Aggregations.mp4
- 96.86 MB
6. Filtering Data.mp4
- 85.42 MB
4. Row Level Transformations.mp4
- 85.19 MB
5. Getting Unique Elements.mp4
- 64.73 MB
11. Get Order Count by Status.mp4
- 50.02 MB
20. Exercises - Manipulating Collections using loops.mp4
- 49.95 MB
16. List Comprehensions using Python.mp4
- 44.71 MB
8. Quick recap of dict operations.mp4
- 39.07 MB
7. Preparing Data Sets.mp4
- 37.58 MB
19. Limitations of using loops.mp4
- 36.33 MB
18. Dict Comprehensions in Python.mp4
- 30.66 MB
13. Get Order Count by Month.mp4
- 27.67 MB
2. Reading Files into Collections.mp4
- 26.75 MB
3. Overview of Standard Transformations.mp4
- 26.39 MB
17. Set Comprehensions using Python.mp4
- 19 MB
1. Manipulating Collections using loops - Introduction.mp4
- 14.3 MB
10. Overview of Grouped Aggregations.mp4
- 13.43 MB
15. Manipulate Collections using Comprehensions.mp4
- 6.25 MB
12. Get Revenue Details per Order.srt
- 24.31 KB
9. Performing Total Aggregations.srt
- 23.29 KB
4. Row Level Transformations.srt
- 21.26 KB
14. Joining Data Sets.srt
- 19.42 KB
6. Filtering Data.srt
- 17.11 KB
5. Getting Unique Elements.srt
- 16.69 KB
11. Get Order Count by Status.srt
- 15.5 KB
20. Exercises - Manipulating Collections using loops.srt
- 12.57 KB
16. List Comprehensions using Python.srt
- 11.36 KB
18. Dict Comprehensions in Python.srt
- 8.7 KB
13. Get Order Count by Month.srt
- 8.27 KB
8. Quick recap of dict operations.srt
- 8.09 KB
19. Limitations of using loops.srt
- 7.76 KB
7. Preparing Data Sets.srt
- 7.39 KB
2. Reading Files into Collections.srt
- 6.76 KB
3. Overview of Standard Transformations.srt
- 6.19 KB
17. Set Comprehensions using Python.srt
- 5.66 KB
1. Manipulating Collections using loops - Introduction.srt
- 4.39 KB
10. Overview of Grouped Aggregations.srt
- 4.02 KB
15. Manipulate Collections using Comprehensions.srt
- 1.89 KB
3.1 Overview of Standard Transformations.html
- 174 B
2.1 Reading files into collections.html
- 168 B
8.1 Quick Recap of Dict Operations.html
- 168 B
9.1 Performing Total Aggregations.html
- 167 B
19.1 Limitations of using Loops.html
- 164 B
4.1 Row level transformations.html
- 163 B
5.1 Getting unique elements.html
- 161 B
7.1 Preparing Data Sets.html
- 157 B
14.1 Joining Data Sets.html
- 155 B
6.1 Filtering Data.html
- 152 B
11. Database Essentials - Predefined Functions
4. Extracting Data - Using substr and split_part.mp4
- 101.89 MB
13. Using to_char and to_date.mp4
- 74.11 MB
19. Using CASE and WHEN.mp4
- 45.58 MB
8. String Replacement.mp4
- 45.57 MB
1. Overview of Functions.mp4
- 41.4 MB
16. Overview of Numeric Functions.mp4
- 40.38 MB
11. Date Arithmetic.mp4
- 37.76 MB
6. Trimming and Padding Functions.mp4
- 36 MB
5. Using position or strpos.mp4
- 33.59 MB
12. Beginning Date or Time using date_trunc.mp4
- 28.04 MB
18. Handling NULL Values.mp4
- 26.74 MB
3. Case Conversion and Length.mp4
- 26.6 MB
17. Data Type Conversion.mp4
- 23.29 MB
10. Getting Current Date or Timestamp.mp4
- 22.45 MB
14. Extracting Information using extract.mp4
- 21.79 MB
7. Reverse and Concatenate Multiple Strings.mp4
- 19.88 MB
15. Dealing with Unix Timestamp or epoch.mp4
- 17.31 MB
9. Date Manipulation Functions.mp4
- 12.15 MB
2. String Manipulation Functions.mp4
- 7.81 MB
4. Extracting Data - Using substr and split_part.srt
- 20.63 KB
13. Using to_char and to_date.srt
- 14.97 KB
16. Overview of Numeric Functions.srt
- 10.23 KB
8. String Replacement.srt
- 10.01 KB
19. Using CASE and WHEN.srt
- 9.11 KB
11. Date Arithmetic.srt
- 7.86 KB
1. Overview of Functions.srt
- 7.65 KB
6. Trimming and Padding Functions.srt
- 7.61 KB
5. Using position or strpos.srt
- 6.74 KB
18. Handling NULL Values.srt
- 6.1 KB
12. Beginning Date or Time using date_trunc.srt
- 5.88 KB
3. Case Conversion and Length.srt
- 5.55 KB
17. Data Type Conversion.srt
- 5.35 KB
10. Getting Current Date or Timestamp.srt
- 5.03 KB
14. Extracting Information using extract.srt
- 4.81 KB
7. Reverse and Concatenate Multiple Strings.srt
- 4.43 KB
15. Dealing with Unix Timestamp or epoch.srt
- 4.31 KB
9. Date Manipulation Functions.srt
- 2.96 KB
2. String Manipulation Functions.srt
- 2.07 KB
1.1 Overview of Pre-Defined Functions.html
- 158 B
16.1 Overview of Numeric Functions.html
- 155 B
2.1 String Manipulation Functions.html
- 155 B
9.1 Date Manipulation Functions.html
- 153 B
17.1 Data Type Conversion.html
- 146 B
18.1 Handling NULL Values.html
- 146 B
19.1 Using CASE and WHEN.html
- 145 B
25. Programming Essentials using Python - Overview of Pandas Libraries
11. Joining Data Frames.mp4
- 94.61 MB
5. Data Frames - Basic Operations.mp4
- 91.93 MB
8. Performing Total Aggregations.mp4
- 80.1 MB
9. Performing Grouped Aggregations.mp4
- 76.57 MB
7. Projecting and Filtering.mp4
- 76.41 MB
10. Writing Data Frames to Files.mp4
- 75.74 MB
6. CSV to Pandas Data Frames.mp4
- 49 MB
2. Pandas Data Structures.mp4
- 41.64 MB
3. Overview of series.mp4
- 25.52 MB
4. Creating Data Frames from lists.mp4
- 23.85 MB
1. Overview of Pandas Libraries.mp4
- 12.33 MB
5. Data Frames - Basic Operations.srt
- 26.2 KB
8. Performing Total Aggregations.srt
- 20.05 KB
11. Joining Data Frames.srt
- 18.5 KB
9. Performing Grouped Aggregations.srt
- 17.74 KB
10. Writing Data Frames to Files.srt
- 17.35 KB
7. Projecting and Filtering.srt
- 15.78 KB
2. Pandas Data Structures.srt
- 10.16 KB
6. CSV to Pandas Data Frames.srt
- 9.95 KB
4. Creating Data Frames from lists.srt
- 7.78 KB
3. Overview of series.srt
- 7.06 KB
1. Overview of Pandas Libraries.srt
- 3.94 KB
2.1 Pandas Data Structures – Overview.html
- 161 B
4.1 Creating Data Frames from lists.html
- 161 B
9.1 Performing Grouped Aggregations.html
- 161 B
8.1 Performing Total Aggregations.html
- 159 B
10.1 Writing Data Frames to Files.html
- 158 B
5.1 Data Frames - Basic Operations.html
- 158 B
6.1 CSV to Pandas Data Frame.html
- 154 B
7.1 Projecting and Filtering.html
- 154 B
11.1 Joining Data Frames.html
- 149 B
3.1 Overview of Series.html
- 148 B
17. Programming Essentials using Python - User Defined Functions
8. Recap of User Defined Functions.mp4
- 91.95 MB
11. Usage of Lambda Functions.mp4
- 79.27 MB
5. Function Parameters and Arguments.mp4
- 56.47 MB
6. Varying Arguments.mp4
- 41.4 MB
9. Passing Functions as Arguments.mp4
- 35.79 MB
10. Lambda Functions.mp4
- 27.17 MB
4. Returning Variables.mp4
- 21.86 MB
2. Defining Functions.mp4
- 20.29 MB
3. Doc Strings.mp4
- 19.86 MB
7. Keyword Arguments.mp4
- 17.28 MB
12. Exercise - User Defined Functions.mp4
- 12.18 MB
1. User Defined Functions - Introduction.mp4
- 7.34 MB
8. Recap of User Defined Functions.srt
- 15.96 KB
11. Usage of Lambda Functions.srt
- 11.45 KB
9. Passing Functions as Arguments.srt
- 9.34 KB
5. Function Parameters and Arguments.srt
- 9.27 KB
10. Lambda Functions.srt
- 6.71 KB
6. Varying Arguments.srt
- 6.55 KB
4. Returning Variables.srt
- 4.76 KB
2. Defining Functions.srt
- 4.41 KB
3. Doc Strings.srt
- 3.46 KB
12. Exercise - User Defined Functions.srt
- 2.96 KB
7. Keyword Arguments.srt
- 2.9 KB
1. User Defined Functions - Introduction.srt
- 2.11 KB
5.1 Function Parameters and Arguments.html
- 157 B
12.1 Exercise - User Defined Functions.html
- 155 B
8.1 Recap of User Defined Functions.html
- 155 B
9.1 Passing Functions as Arguments.html
- 154 B
11.1 Usage of Lambda Functions.html
- 149 B
1.1 User Defined Functions.html
- 146 B
2.1 Defining Functions.html
- 142 B
6.1 Varying Arguments.html
- 141 B
7.1 Keyword Arguments.html
- 141 B
10.1 Lambda Functions.html
- 140 B
4.1 Returning Values.html
- 140 B
3.1 Doc Strings.html
- 135 B
12. Database Essentials - Writing Advanced SQL Queries
5. Advanced DML Operations.mp4
- 87.46 MB
11. Analytic Functions - Windowing.mp4
- 82.29 MB
12. Analytic Functions - Ranking.mp4
- 72.65 MB
9. Analytic Functions - Aggregations.mp4
- 66.35 MB
13. Analytic Functions - Filtering.mp4
- 58.87 MB
6. Merging or Upserting Data.mp4
- 55.67 MB
4. CTAS - Create Table As Select.mp4
- 52.14 MB
10. Cumulative or Moving Aggregations.mp4
- 51.16 MB
1. Overview of Views.mp4
- 46.75 MB
3. Overview of Sub Queries.mp4
- 41.45 MB
8. Overview of Analytic Functions.mp4
- 38.17 MB
2. Overview of Named Queries.mp4
- 27.4 MB
14. Ranking and Filtering - Recap.mp4
- 19.18 MB
7. Pivoting Rows into Columns.mp4
- 8.07 MB
12. Analytic Functions - Ranking.srt
- 19.69 KB
5. Advanced DML Operations.srt
- 18.57 KB
11. Analytic Functions - Windowing.srt
- 18.41 KB
13. Analytic Functions - Filtering.srt
- 16.05 KB
9. Analytic Functions - Aggregations.srt
- 13.26 KB
6. Merging or Upserting Data.srt
- 12.24 KB
4. CTAS - Create Table As Select.srt
- 11.63 KB
10. Cumulative or Moving Aggregations.srt
- 10.84 KB
3. Overview of Sub Queries.srt
- 10.42 KB
1. Overview of Views.srt
- 10.11 KB
8. Overview of Analytic Functions.srt
- 7.34 KB
2. Overview of Named Queries.srt
- 5.97 KB
14. Ranking and Filtering - Recap.srt
- 4.85 KB
7. Pivoting Rows into Columns.srt
- 1.86 KB
10.1 Cumulative or Moving Aggregations.html
- 167 B
2.1 Named Queries - Using WITH Clause.html
- 165 B
9.1 Analytic Functions – Aggregations.html
- 165 B
8.1 Overview of Analytic Functions.html
- 164 B
11.1 Analytic Functions – Windowing.html
- 162 B
13.1 Analytic Functions - Filtering.html
- 161 B
14.1 Ranking and Filtering - Recap.html
- 161 B
12.1 Analytic Functions – Ranking.html
- 160 B
7.1 Pivoting Rows into Columns.html
- 160 B
6.1 Merging or Upserting Data.html
- 159 B
3.1 Overview of Sub Queries.html
- 157 B
5.1 Advanced DML Operations.html
- 157 B
4.1 CTAS - Create Table as Select.html
- 156 B
1.1 Overview of Views.html
- 151 B
14. Programming Essentials using Python - Getting Started with Python
8. Leveraging Google Colab.mp4
- 85.66 MB
2. Overview of Anaconda.mp4
- 66.29 MB
3. Python CLI and Jupyter Notebook.mp4
- 55.59 MB
1. Installing Python on Windows.mp4
- 48.48 MB
5. Using IDEs - Pycharm.mp4
- 42.97 MB
7. Using ITVersity Labs.mp4
- 41.07 MB
4. Overview of Jupyter Lab.mp4
- 38.25 MB
6. Using Visual Studio Code.mp4
- 30.52 MB
8. Leveraging Google Colab.srt
- 23.04 KB
2. Overview of Anaconda.srt
- 22.25 KB
4. Overview of Jupyter Lab.srt
- 16.27 KB
1. Installing Python on Windows.srt
- 15.44 KB
5. Using IDEs - Pycharm.srt
- 14.77 KB
7. Using ITVersity Labs.srt
- 12 KB
3. Python CLI and Jupyter Notebook.srt
- 10.94 KB
6. Using Visual Studio Code.srt
- 10 KB
3.1 Python CLI and Jupyter Notebook.html
- 160 B
6.1 Overview of Visual Studio Code.html
- 159 B
8.1 Leveraging Google’s Colab.html
- 153 B
4.1 Overview of Jupyter Lab.html
- 152 B
2.1 Overview of Anaconda.html
- 149 B
7.1 Using ITVersity Labs.html
- 149 B
5.1 Using IDEs – Pycharm.html
- 147 B
1.1 Installing Python.html
- 146 B
26. Programming Essentials using Python - Database Programming - CRUD Operations
7. Inserting Data into Table.mp4
- 85.14 MB
10. Querying Data From Table.mp4
- 70.15 MB
4. Setup Database Client Libraries.mp4
- 58.59 MB
3. Recap of RDBMS Concepts.mp4
- 47.81 MB
6. Create Database Table.mp4
- 44.6 MB
2. Overview of Database Programming.mp4
- 27.84 MB
5. Function Get Database Connection.mp4
- 20.97 MB
8. Updating Existing Table Data.mp4
- 20.03 MB
9. Deleting Data From Table.mp4
- 14.74 MB
1. Database Operations - CRUD Operations - Introduction.mp4
- 10.13 MB
11. Recap - CRUD Operations.mp4
- 9.67 MB
7. Inserting Data into Table.srt
- 18.98 KB
10. Querying Data From Table.srt
- 16.49 KB
4. Setup Database Client Libraries.srt
- 14.32 KB
6. Create Database Table.srt
- 10.78 KB
3. Recap of RDBMS Concepts.srt
- 8.64 KB
8. Updating Existing Table Data.srt
- 5.97 KB
2. Overview of Database Programming.srt
- 5.7 KB
5. Function Get Database Connection.srt
- 5.26 KB
9. Deleting Data From Table.srt
- 4.37 KB
11. Recap - CRUD Operations.srt
- 3.54 KB
1. Database Operations - CRUD Operations - Introduction.srt
- 3.17 KB
2.1 Overview of Database Programming.html
- 170 B
5.1 Function - Get Database Connection.html
- 170 B
4.1 Setup Database Client Libraries.html
- 169 B
8.1 Update Existing Table Data.html
- 166 B
7.1 Inserting Data into Table.html
- 163 B
10.1 Querying Data From Table.html
- 162 B
9.1 Deleting Data from Table.html
- 162 B
3.1 Recap of RDBMS Concepts.html
- 161 B
6.1 Creating Database Table.html
- 161 B
11.1 Recap - CRUD Operations.html
- 159 B
24. Programming Essentials using Python - Delimited Files and Collections
4. Read Delimited files into list of tuples.mp4
- 83.11 MB
7. Read Delimited data using CSV.mp4
- 82.96 MB
10. Apply Schema on lists from files.mp4
- 78.09 MB
5. Write Delimited Strings into files.mp4
- 72.05 MB
2. Overview of Delimited Text Files.mp4
- 59.24 MB
3. Recap of basic file IO.mp4
- 58.53 MB
8. Writing iterables to files using csv.mp4
- 58.08 MB
6. Overview of CSV Module.mp4
- 51.34 MB
9. Advantages of using csv module.mp4
- 10.12 MB
1. Delimited Files and Collections.mp4
- 9.22 MB
10. Apply Schema on lists from files.srt
- 20.38 KB
4. Read Delimited files into list of tuples.srt
- 19.45 KB
7. Read Delimited data using CSV.srt
- 17.85 KB
5. Write Delimited Strings into files.srt
- 15.76 KB
3. Recap of basic file IO.srt
- 14.73 KB
2. Overview of Delimited Text Files.srt
- 14.38 KB
8. Writing iterables to files using csv.srt
- 14.05 KB
6. Overview of CSV Module.srt
- 13.05 KB
1. Delimited Files and Collections.srt
- 2.87 KB
9. Advantages of using csv module.srt
- 2.41 KB
15. Programming Essentials using Python - Basic Programming Constructs
8. All about for loops.mp4
- 81.98 MB
9. Running os commands.mp4
- 75.11 MB
7. Conditionals.mp4
- 58.46 MB
6. Tasks - Data Types and Operators.mp4
- 37.95 MB
10. Exercises - Basic Programming Constructs.mp4
- 35.24 MB
2. Getting Help.mp4
- 22.02 MB
11. Dynamic Arithmetic Operations using eval and exec.mp4
- 16.38 MB
5. Operators in Python.mp4
- 13.19 MB
3. Variables and Objects.mp4
- 10.44 MB
1. Basic Programming Constructs using Python - Introduction.mp4
- 8.67 MB
4. Data Type - Commonly Used.mp4
- 8.49 MB
8. All about for loops.srt
- 25.33 KB
7. Conditionals.srt
- 19 KB
9. Running os commands.srt
- 15.18 KB
10. Exercises - Basic Programming Constructs.srt
- 12.16 KB
6. Tasks - Data Types and Operators.srt
- 10.71 KB
2. Getting Help.srt
- 6.21 KB
11. Dynamic Arithmetic Operations using eval and exec.srt
- 6.19 KB
5. Operators in Python.srt
- 4.42 KB
1. Basic Programming Constructs using Python - Introduction.srt
- 3.43 KB
4. Data Type - Commonly Used.srt
- 3.21 KB
3. Variables and Objects.srt
- 2.89 KB
4.1 Data Types - Commonly used.html
- 154 B
3.1 Variables and Objects.html
- 151 B
5.1 Operators in Python.html
- 149 B
8.1 All about for Loops.html
- 149 B
9.1 Running OS Commands.html
- 149 B
2.1 Getting Help.html
- 142 B
7.1 Conditionals.html
- 142 B
44. Data Engineering using Spark SQL - Basic Transformations
9. Aggregation Data.mp4
- 81.3 MB
6. Filtering Data.mp4
- 69.94 MB
8. Joining Tables - Outer.mp4
- 56.2 MB
7. Joining Tables - Inner.mp4
- 52.84 MB
2. Spark SQL - Overview.mp4
- 42.5 MB
4. Prepare Tables.mp4
- 34.15 MB
10. Sorting Data.mp4
- 32.16 MB
5. Projecting Data.mp4
- 30.08 MB
11. Conclusion - Final Solution.mp4
- 23.39 MB
3. Define Problem Statement.mp4
- 19.57 MB
1. Basic Transformations - Introduction.mp4
- 16.63 MB
9. Aggregation Data.srt
- 15.97 KB
6. Filtering Data.srt
- 15.36 KB
8. Joining Tables - Outer.srt
- 11.04 KB
7. Joining Tables - Inner.srt
- 10.89 KB
2. Spark SQL - Overview.srt
- 9.86 KB
4. Prepare Tables.srt
- 7.44 KB
10. Sorting Data.srt
- 7.15 KB
11. Conclusion - Final Solution.srt
- 6.19 KB
5. Projecting Data.srt
- 5.7 KB
3. Define Problem Statement.srt
- 5.37 KB
1. Basic Transformations - Introduction.srt
- 4.96 KB
11.1 Conclusion - Final Solution.html
- 150 B
3.1 Define Problem Statement.html
- 149 B
1.1 Basic Transformations.html
- 146 B
7.1 Joining Tables - Inner.html
- 145 B
8.1 Joining Tables - Outer.html
- 145 B
2.1 Spark SQL – Overview.html
- 143 B
4.1 Preparing Tables.html
- 141 B
9.1 Aggregating Data.html
- 141 B
5.1 Projecting Data.html
- 140 B
6.1 Filtering Data.html
- 139 B
10.1 Sorting Data.html
- 137 B
38. Data Copier - Using custom Docker Image
4. Copying Source Code to Docker Custom Image.mp4
- 80.98 MB
8. Passing Environment Variables to Docker Container.mp4
- 68.38 MB
10. Run application using Docker.mp4
- 60.25 MB
9. Add Data Copier Container to custom network.mp4
- 42.45 MB
3. Install OS Modules in custom docker image.mp4
- 38.02 MB
2. Getting started with docker custom image.mp4
- 37.18 MB
7. Mounting Data Folders on to Docker Container.mp4
- 34.69 MB
5. Adding dependencies to the custom image.mp4
- 28.83 MB
6. Understanding docker custom image build process.mp4
- 28.21 MB
1. Using Custom Docker Image - Introduction.mp4
- 4.99 MB
4. Copying Source Code to Docker Custom Image.srt
- 14 KB
8. Passing Environment Variables to Docker Container.srt
- 9.94 KB
10. Run application using Docker.srt
- 9.29 KB
2. Getting started with docker custom image.srt
- 8 KB
3. Install OS Modules in custom docker image.srt
- 7.45 KB
7. Mounting Data Folders on to Docker Container.srt
- 6.65 KB
9. Add Data Copier Container to custom network.srt
- 6.52 KB
5. Adding dependencies to the custom image.srt
- 5.04 KB
6. Understanding docker custom image build process.srt
- 4.54 KB
1. Using Custom Docker Image - Introduction.srt
- 924 B
3. Setting up Environment - Overview of GCP and Provision Ubuntu VM
7. Setup Jupyter Lab.mp4
- 78.91 MB
5. Setup Docker.mp4
- 74.5 MB
4. Provision Ubuntu VM from GCP.mp4
- 53.55 MB
3. Overview of GCP Pricing.mp4
- 44.07 MB
6. Validating Python.mp4
- 34.31 MB
1. Signing up for GCP.mp4
- 23.59 MB
2. Overview of GCP Web Console.mp4
- 14.24 MB
7. Setup Jupyter Lab.srt
- 16.14 KB
4. Provision Ubuntu VM from GCP.srt
- 12.58 KB
5. Setup Docker.srt
- 12.21 KB
3. Overview of GCP Pricing.srt
- 9.24 KB
6. Validating Python.srt
- 5.83 KB
1. Signing up for GCP.srt
- 5.31 KB
2. Overview of GCP Web Console.srt
- 3.41 KB
2.1 Understanding GCP Web Console.html
- 157 B
4.1 Provision Ubuntu 18.04 Virtual Machine.html
- 153 B
3.1 Overview of GCP Pricing.html
- 151 B
1.1 Signing up for GCP.html
- 146 B
6.1 Validating Python.html
- 145 B
7.1 Setup Jupyter Lab.html
- 145 B
5.1 Setup Docker.html
- 140 B
19
8. List of Tuples.mp4
- 77.99 MB
6. Manipulating dict.mp4
- 65.54 MB
9. List of dicts.mp4
- 59.82 MB
11. Processing dict items.mp4
- 36.52 MB
7. Common Examples - dict.mp4
- 36.48 MB
5. Accessing Elements - dict.mp4
- 35.94 MB
2. Overview of dict and tuple.mp4
- 33.32 MB
3. Common Operations - dict and tuple.mp4
- 25.86 MB
4. Accessing Elements - tuples.mp4
- 25.5 MB
12. Sorting dict items.mp4
- 21.63 MB
10. Process dict values.mp4
- 19.96 MB
13. Exercises - Overview of Collections - dict and set.mp4
- 15.75 MB
1. Manipulating Collections using loops - Introduction.mp4
- 8.86 MB
8. List of Tuples.srt
- 16.56 KB
6. Manipulating dict.srt
- 15.9 KB
9. List of dicts.srt
- 11.58 KB
11. Processing dict items.srt
- 10.73 KB
5. Accessing Elements - dict.srt
- 8.08 KB
2. Overview of dict and tuple.srt
- 7.74 KB
3. Common Operations - dict and tuple.srt
- 7.53 KB
10. Process dict values.srt
- 6.8 KB
7. Common Examples - dict.srt
- 6.46 KB
12. Sorting dict items.srt
- 6.09 KB
4. Accessing Elements - tuples.srt
- 5.07 KB
13. Exercises - Overview of Collections - dict and set.srt
- 4.96 KB
1. Manipulating Collections using loops - Introduction.srt
- 2.99 KB
2.1 Overview of dict and tuple.html
- 166 B
4.1 Accessing Elements - tuples.html
- 165 B
5.1 Accessing Elements - dict.html
- 163 B
7.1 Common Examples - dict.html
- 160 B
3.1 Common Operations.html
- 157 B
6.1 Manipulating dict.html
- 157 B
8.1 List of tuples.html
- 154 B
9.1 List of dicts.html
- 153 B
16. Programming Essentials using Python - Predefined Functions
8. Date Manipulation Functions.mp4
- 76.62 MB
5. String Manipulation Functions.mp4
- 47.86 MB
7. Print and Input Functions.mp4
- 34 MB
3. Numeric Functions.mp4
- 30.23 MB
6. Formatting Strings.mp4
- 28.2 MB
2. Overview of Predefined Functions.mp4
- 25.84 MB
4. Overview of Strings.mp4
- 23.81 MB
9. Exercises - Predefined Functions in Python.mp4
- 11.4 MB
1. Predefined Functions - Introduction.mp4
- 6.84 MB
8. Date Manipulation Functions.srt
- 16.82 KB
5. String Manipulation Functions.srt
- 11.71 KB
3. Numeric Functions.srt
- 9.32 KB
7. Print and Input Functions.srt
- 7.33 KB
4. Overview of Strings.srt
- 7.2 KB
6. Formatting Strings.srt
- 6.77 KB
2. Overview of Predefined Functions.srt
- 5.49 KB
9. Exercises - Predefined Functions in Python.srt
- 3.69 KB
1. Predefined Functions - Introduction.srt
- 2.82 KB
2.1 Overview of Pre-defined Functions.html
- 156 B
5.1 String Manipulation Functions.html
- 152 B
8.1 Date Manipulation Functions.html
- 150 B
7.1 Print and Input Functions.html
- 148 B
4.1 Overview of Strings.html
- 142 B
6.1 Formatting Strings.html
- 141 B
3.1 Numeric Functions.html
- 140 B
[Tutorialsplanet.NET].url
- 128 B
35. Data Copier - Loading Data from files to tables
2. Populating Departments data into table.mp4
- 75.06 MB
4. Populating orders table in chunks.mp4
- 73.78 MB
6. Validate orders table using pandas.mp4
- 33.35 MB
5. Validate orders table in database.mp4
- 26.08 MB
3. Validate departments table.mp4
- 22.19 MB
1. Loading Data from files to tables - Introduction.mp4
- 7.3 MB
2. Populating Departments data into table.srt
- 14.89 KB
4. Populating orders table in chunks.srt
- 13.91 KB
6. Validate orders table using pandas.srt
- 7.88 KB
5. Validate orders table in database.srt
- 5.92 KB
3. Validate departments table.srt
- 5.9 KB
1. Loading Data from files to tables - Introduction.srt
- 1.86 KB
6.1 Validate orders table using Pandas.html
- 184 B
1.1 Loading Data from files to tables.html
- 183 B
5.1 Validate orders table in database.html
- 183 B
2.1 Populating departments table.html
- 178 B
3.1 Validate departments table.html
- 176 B
4.1 Populating orders table.html
- 173 B
[Tutorialsplanet.NET].url
- 128 B
39. Data Copier - Deploy and Validate Application on Remote Server
10. Run and Validate Dockerized Application.mp4
- 73.58 MB
7. Setup Docker Container for the Database.mp4
- 66.1 MB
8. Setup Database and Tables as part of Docker based Database Server.mp4
- 37.38 MB
9. Building Custom Docker Image for application.mp4
- 34.42 MB
6. Setup Network and Database Folder for Database using Docker.mp4
- 30.84 MB
3. Requirements to deploy application on Virtual Machine.mp4
- 28.67 MB
5. Setup Data Set for Validation.mp4
- 24.48 MB
4. Clone Application on remote machine.mp4
- 23.48 MB
2. Push Application Changes to GitHub Repository.mp4
- 19.28 MB
1. Deploy and Validate Application on Remote Server - Introduction.mp4
- 9.76 MB
10. Run and Validate Dockerized Application.srt
- 12.61 KB
7. Setup Docker Container for the Database.srt
- 9.86 KB
8. Setup Database and Tables as part of Docker based Database Server.srt
- 6.29 KB
6. Setup Network and Database Folder for Database using Docker.srt
- 5.96 KB
3. Requirements to deploy application on Virtual Machine.srt
- 5.76 KB
9. Building Custom Docker Image for application.srt
- 5.3 KB
2. Push Application Changes to GitHub Repository.srt
- 4.16 KB
4. Clone Application on remote machine.srt
- 3.53 KB
5. Setup Data Set for Validation.srt
- 3.36 KB
1. Deploy and Validate Application on Remote Server - Introduction.srt
- 2.88 KB
10. Database Essentials - Partitioning Tables and Indexes
7. Repartitioning - Range.mp4
- 73.35 MB
3. Managing Partitions - List.mp4
- 52.59 MB
9. Managing Partitions - Hash.mp4
- 46.43 MB
6. Managing Partitions - Range.mp4
- 46.12 MB
11. Sub Partitioning.mp4
- 41.98 MB
4. Manipulating Data.mp4
- 30.79 MB
10. Usage Scenarios.mp4
- 28.19 MB
2. List Partitioning.mp4
- 27.93 MB
8. Hash Partitioning.mp4
- 26.63 MB
5. Range Partitioning.mp4
- 18.9 MB
12. Exercise - Partitioned Tables.mp4
- 9.79 MB
1. Overview of Partitioning.mp4
- 8.91 MB
7. Repartitioning - Range.srt
- 12.66 KB
3. Managing Partitions - List.srt
- 9.58 KB
9. Managing Partitions - Hash.srt
- 9.3 KB
11. Sub Partitioning.srt
- 8.98 KB
6. Managing Partitions - Range.srt
- 8.09 KB
4. Manipulating Data.srt
- 6.32 KB
8. Hash Partitioning.srt
- 6.08 KB
2. List Partitioning.srt
- 5.64 KB
10. Usage Scenarios.srt
- 5.09 KB
5. Range Partitioning.srt
- 3.78 KB
12. Exercise - Partitioned Tables.srt
- 2.69 KB
1. Overview of Partitioning.srt
- 2.24 KB
12.1 Exercises - Partitioning Tables.html
- 166 B
6.1 Managing Partitions - Range.html
- 162 B
1.1 Overview of Partitioning.html
- 161 B
3.1 Managing Partitions - List.html
- 161 B
9.1 Managing Partitions - Hash.html
- 161 B
7.1 Repartitioning - Range.html
- 157 B
5.1 Range Partitioning.html
- 155 B
2.1 List Partitioning.html
- 154 B
4.1 Manipulating Data.html
- 154 B
8.1 Hash Partitioning.html
- 154 B
11.1 Sub Partitioning.html
- 153 B
10.1 Usage Scenarios.html
- 152 B
[Tutorialsplanet.NET].url
- 128 B
43. Data Engineering using Spark SQL - Getting Started
4. Overview of Spark SQL Properties.mp4
- 70.11 MB
7. Managing Spark Metastore Databases.mp4
- 65.63 MB
11. Exercise - Getting Started with Spark SQL.mp4
- 58.18 MB
6. Understanding Warehouse Directory.mp4
- 30.41 MB
3. Launching and using Spark SQL CLI.mp4
- 29.4 MB
10. Role of Spark Metastore or Hive Metastore.mp4
- 27.82 MB
5. Running OS Commands using Spark SQL.mp4
- 24.13 MB
2. Overview of Spark Documentation.mp4
- 20.83 MB
8. Managing Spark Metastore Tables.mp4
- 17.51 MB
9. Retrieve Metadata of Tables.mp4
- 15.25 MB
1. Getting Started - Overview.mp4
- 9.76 MB
7. Managing Spark Metastore Databases.srt
- 14 KB
4. Overview of Spark SQL Properties.srt
- 12.86 KB
11. Exercise - Getting Started with Spark SQL.srt
- 12.56 KB
10. Role of Spark Metastore or Hive Metastore.srt
- 7.07 KB
3. Launching and using Spark SQL CLI.srt
- 6.03 KB
6. Understanding Warehouse Directory.srt
- 5.47 KB
5. Running OS Commands using Spark SQL.srt
- 4.88 KB
8. Managing Spark Metastore Tables.srt
- 4.63 KB
2. Overview of Spark Documentation.srt
- 3.96 KB
9. Retrieve Metadata of Tables.srt
- 3.27 KB
1. Getting Started - Overview.srt
- 2.84 KB
7.1 Managing Spark Metastore Databases.html
- 153 B
6.1 Understanding Warehouse Directory.html
- 152 B
4.1 Overview of Spark SQL Properties.html
- 151 B
10.1 Role of Spark or Hive Metastore.html
- 150 B
2.1 Overview of Spark Documentation.html
- 150 B
8.1 Managing Spark Metastore Tables.html
- 150 B
9.1 Retrieve Metadata of Tables.html
- 146 B
3.1 Overview of Spark SQL CLI.html
- 144 B
11.1 Exercise - Getting Started with Spark SQL.html
- 143 B
5.1 Running OS Commands.html
- 138 B
1.1 Getting Started.html
- 134 B
22. Programming Essentials using Python - Understanding Map Reduce Libraries
4. Row Level Transformations using map.mp4
- 70.09 MB
14. Get revenue per order using itertools groupby.mp4
- 66.67 MB
10. Cumulative Operations using itertools.mp4
- 48.63 MB
6. Get Revenue for a given product id.mp4
- 46.66 MB
2. Filtering Data using filter.mp4
- 43.77 MB
5. Aggregations using reduce.mp4
- 43.16 MB
8. Get total commission amount.mp4
- 37.68 MB
3. Projecting data using map.mp4
- 36.87 MB
12. Overview of itertools groupby.mp4
- 35.56 MB
7. Get total items sold and revenue for a product.mp4
- 32.05 MB
11. Using itertools starmap.mp4
- 31.09 MB
9. Overview of itertools.mp4
- 30.78 MB
13. Get order count by status using itertools groupby.mp4
- 25.53 MB
1. Preparing Data Sets.mp4
- 18.14 MB
15. Limitations of Map Reduce Libraries.mp4
- 12.92 MB
16. Exercises - Understanding Map Reduce Libraries.mp4
- 11.57 MB
4. Row Level Transformations using map.srt
- 16.61 KB
14. Get revenue per order using itertools groupby.srt
- 15.42 KB
10. Cumulative Operations using itertools.srt
- 15.4 KB
6. Get Revenue for a given product id.srt
- 14.03 KB
8. Get total commission amount.srt
- 11.42 KB
2. Filtering Data using filter.srt
- 10.62 KB
12. Overview of itertools groupby.srt
- 10.34 KB
7. Get total items sold and revenue for a product.srt
- 10.21 KB
5. Aggregations using reduce.srt
- 9.79 KB
3. Projecting data using map.srt
- 9.38 KB
11. Using itertools starmap.srt
- 8.79 KB
9. Overview of itertools.srt
- 7.68 KB
13. Get order count by status using itertools groupby.srt
- 6.8 KB
1. Preparing Data Sets.srt
- 4.42 KB
15. Limitations of Map Reduce Libraries.srt
- 3.84 KB
16. Exercises - Understanding Map Reduce Libraries.srt
- 3.04 KB
36. Data Copier - Modularizing the application
12. Validate logic for table list as run time argument.mp4
- 68.92 MB
5. Read logic using Pandas.mp4
- 65.73 MB
8. Validate write logic.mp4
- 60.64 MB
7. Write logic using Pandas.mp4
- 54.73 MB
6. Validate read logic.mp4
- 53.43 MB
3. Using os module for Environment Variables.mp4
- 50.37 MB
10. Validate Integration logic.mp4
- 49.5 MB
1. Overview of main function.mp4
- 38.65 MB
9. Integrate read and write logic.mp4
- 36.37 MB
11. Develop logic for multiple tables.mp4
- 34.6 MB
13. Push changes to remote git repository.mp4
- 30.96 MB
4. Passing Environment Variables using Pycharm.mp4
- 26.53 MB
2. Overview of Environment Variables.mp4
- 25.39 MB
5. Read logic using Pandas.srt
- 12 KB
12. Validate logic for table list as run time argument.srt
- 11.7 KB
8. Validate write logic.srt
- 11.49 KB
7. Write logic using Pandas.srt
- 10.38 KB
6. Validate read logic.srt
- 9.17 KB
10. Validate Integration logic.srt
- 8.48 KB
3. Using os module for Environment Variables.srt
- 7.58 KB
1. Overview of main function.srt
- 7.17 KB
9. Integrate read and write logic.srt
- 6.42 KB
13. Push changes to remote git repository.srt
- 5.94 KB
11. Develop logic for multiple tables.srt
- 5.56 KB
4. Passing Environment Variables using Pycharm.srt
- 5.44 KB
2. Overview of Environment Variables.srt
- 5.01 KB
4.1 Passing Environment Variables using Pycharm.html
- 185 B
3.1 Using os module for Environment Variables.html
- 183 B
2.1 Overview of Environment Variables.html
- 175 B
1.1 Overview of main function.html
- 167 B
5.1 Read logic using Pandas.html
- 165 B
41. Setup Hive and Spark on Single Node Cluster
10. Validate Jupyter Lab Setup.mp4
- 67.88 MB
8. Configure Spark 2.mp4
- 66.77 MB
9. Validate Spark 2 using CLIs.mp4
- 66.22 MB
14. Validate Spark 3 using CLIs.mp4
- 62.49 MB
13. Configure Spark 3.mp4
- 58.91 MB
4. Configure and Setup Hive Metastore.mp4
- 53.46 MB
3. Setup Database for Hive Metastore.mp4
- 53.29 MB
1. Setup Data Sets for Practice.mp4
- 38.95 MB
11. Intergrate Spark 2 with Jupyter Lab.mp4
- 38.77 MB
5. Launch and Validate Hive.mp4
- 36.08 MB
7. Download and Install Spark 2.mp4
- 25.36 MB
15. Intergrate Spark 3 with Jupyter Lab.mp4
- 25.31 MB
6. Scripts to Manage Single Node Cluster.mp4
- 22.37 MB
12. Download and Install Spark 3.mp4
- 14.65 MB
2. Download and Install Hive.mp4
- 13.22 MB
10. Validate Jupyter Lab Setup.srt
- 15.12 KB
8. Configure Spark 2.srt
- 13.36 KB
9. Validate Spark 2 using CLIs.srt
- 12.52 KB
14. Validate Spark 3 using CLIs.srt
- 12.22 KB
4. Configure and Setup Hive Metastore.srt
- 11.37 KB
3. Setup Database for Hive Metastore.srt
- 11.16 KB
13. Configure Spark 3.srt
- 10.16 KB
11. Intergrate Spark 2 with Jupyter Lab.srt
- 9.5 KB
5. Launch and Validate Hive.srt
- 7.82 KB
6. Scripts to Manage Single Node Cluster.srt
- 7.57 KB
1. Setup Data Sets for Practice.srt
- 7.08 KB
15. Intergrate Spark 3 with Jupyter Lab.srt
- 6.58 KB
7. Download and Install Spark 2.srt
- 5.44 KB
2. Download and Install Hive.srt
- 3.45 KB
12. Download and Install Spark 3.srt
- 2.94 KB
13. Programming Essentials using Python - Perform Database Operations
10. Example - Web Application.mp4
- 67.32 MB
3. Create Database and Users Table.mp4
- 53.25 MB
9. Example - Data Engineering.mp4
- 49.26 MB
5. DML - Data Manipulation Language.mp4
- 41.93 MB
4. DDL - Data Definition Language.mp4
- 40.96 MB
6. DQL - Data Query Language.mp4
- 31.35 MB
11. Exercise - Database Operations.mp4
- 18.74 MB
2. Overview of SQL.mp4
- 14.55 MB
7. CRUD Operations - DML and DQL.mp4
- 13.58 MB
1. Introduction - Perform Database Operations.mp4
- 9.2 MB
8. TCL - Transaction Control Language.mp4
- 8.55 MB
3. Create Database and Users Table.srt
- 11.25 KB
10. Example - Web Application.srt
- 10.16 KB
9. Example - Data Engineering.srt
- 8.91 KB
4. DDL - Data Definition Language.srt
- 7.38 KB
5. DML - Data Manipulation Language.srt
- 7.35 KB
6. DQL - Data Query Language.srt
- 6.35 KB
2. Overview of SQL.srt
- 3.91 KB
11. Exercise - Database Operations.srt
- 3.67 KB
7. CRUD Operations - DML and DQL.srt
- 3.28 KB
1. Introduction - Perform Database Operations.srt
- 2.82 KB
8. TCL - Transaction Control Language.srt
- 1.9 KB
8.1 TCL - Transaction Control Language.html
- 162 B
3.1 Create Database and Users Table.html
- 161 B
5.1 DML - Data Manipulation Language.html
- 160 B
11.1 Exercise - Database Operations.html
- 158 B
4.1 DDL - Data Definition Language.html
- 158 B
7.1 CRUD Operations - DML and DQL.html
- 157 B
9.1 Example - Data Engineering.html
- 154 B
10.1 Example - Web Application.html
- 153 B
6.1 DQL - Data Query Language.html
- 153 B
2.1 Overview of SQL.html
- 145 B
34. Data Copier - Database Programming using Pandas
8. Writing Pandas Dataframe to table.mp4
- 67.06 MB
6. Reading data from table using Pandas.mp4
- 38.96 MB
2. Validate Postgres Setup using Docker.mp4
- 25.61 MB
7. Truncate users table.mp4
- 16.1 MB
3. Add required dependencies for database programming using pandas.mp4
- 15.57 MB
5. Populating Sample Data into users table.mp4
- 15.38 MB
10. Drop users table.mp4
- 15.31 MB
9. Validating users data.mp4
- 15.22 MB
1. Database Programming using Pandas - Introduction.mp4
- 11.85 MB
4. Create users table in retail_db Database.mp4
- 11.43 MB
8. Writing Pandas Dataframe to table.srt
- 12.83 KB
6. Reading data from table using Pandas.srt
- 8.21 KB
2. Validate Postgres Setup using Docker.srt
- 4.91 KB
7. Truncate users table.srt
- 4.15 KB
10. Drop users table.srt
- 4.04 KB
5. Populating Sample Data into users table.srt
- 3.76 KB
3. Add required dependencies for database programming using pandas.srt
- 3.75 KB
9. Validating users data.srt
- 3.45 KB
1. Database Programming using Pandas - Introduction.srt
- 2.67 KB
4. Create users table in retail_db Database.srt
- 2.62 KB
4.1 Create users table in retail_db Database.html
- 191 B
5.1 Populating Sample Data into users table.html
- 190 B
2.1 Validate Postgres Setup using Docker.html
- 187 B
6.1 Reading data from table using Pandas.html
- 187 B
1.1 Database Programming using Pandas.html
- 184 B
8.1 Writing Pandas Dataframe to table.html
- 184 B
3.1 Add required dependencies.html
- 176 B
9.1 Validating users data.html
- 172 B
10.1 Dropping users table.html
- 171 B
7.1 Truncate users table.html
- 171 B
27
5. Batch Loading of Data.mp4
- 64.83 MB
4. Reading Data From File.mp4
- 34.25 MB
3. Preparing Database.mp4
- 27.57 MB
2. Recap of Insert.mp4
- 18.91 MB
6. Best Practices Batch Loading.mp4
- 10.41 MB
1. Database Programming - Batch Operations - Introduction.mp4
- 8.08 MB
5. Batch Loading of Data.srt
- 15.11 KB
4. Reading Data From File.srt
- 8.26 KB
3. Preparing Database.srt
- 7.14 KB
6. Best Practices Batch Loading.srt
- 3.71 KB
2. Recap of Insert.srt
- 3.61 KB
1. Database Programming - Batch Operations - Introduction.srt
- 2.75 KB
4.1 Reading Data from File.html
- 161 B
3.1 Preparing Database.html
- 157 B
2.1 Recap of Insert.html
- 154 B
21. Programming Essentials using Python - Development of Map Reduce APIs
4. Validate myMap Function.mp4
- 63.52 MB
8. Validate myReduceByKey Function.mp4
- 60.7 MB
10. Validate myJoin Function.mp4
- 46.88 MB
2. Validate myFilter.mp4
- 45.69 MB
11. Exercises - Development of Map Reduce APIs.mp4
- 41.98 MB
1. Develop myFilter.mp4
- 38.67 MB
3. Develop myMap Function.mp4
- 30.72 MB
6. Validate myReduce Function.mp4
- 30.23 MB
9. Develop myJoin Function.mp4
- 29.12 MB
7. Develop myReduceByKey Function.mp4
- 25.71 MB
5. Develop myReduce Function.mp4
- 21.1 MB
8. Validate myReduceByKey Function.srt
- 20.12 KB
4. Validate myMap Function.srt
- 15.58 KB
10. Validate myJoin Function.srt
- 14.26 KB
9. Develop myJoin Function.srt
- 10.5 KB
11. Exercises - Development of Map Reduce APIs.srt
- 10.4 KB
2. Validate myFilter.srt
- 10.2 KB
1. Develop myFilter.srt
- 9.71 KB
7. Develop myReduceByKey Function.srt
- 9.59 KB
3. Develop myMap Function.srt
- 9.46 KB
6. Validate myReduce Function.srt
- 8.41 KB
5. Develop myReduce Function.srt
- 6.91 KB
37. Data Copier - Dockerizing the application
6. Deploying application and installing dependencies in the docker container.mp4
- 62.48 MB
11. Running Application from the Docker Container.mp4
- 51.82 MB
4. Create and attach network to database container.mp4
- 51.74 MB
3. Pull and validate appropriate python image.mp4
- 49.57 MB
12. Delete Docker Container.mp4
- 37.58 MB
5. Quick recap about Docker containers.mp4
- 27.74 MB
8. Add Data Copier container to custom network.mp4
- 26.94 MB
10. Validate Network Connectivity between Docker Containers.mp4
- 22.5 MB
7. Copy source data files into container.mp4
- 22.47 MB
9. Installing OS libraries as part of Docker container.mp4
- 15.34 MB
2. Prepare Database for validation.mp4
- 14.99 MB
1. Dockerizing the application - Introduction.mp4
- 4.85 MB
4. Create and attach network to database container.srt
- 10.08 KB
11. Running Application from the Docker Container.srt
- 9.6 KB
6. Deploying application and installing dependencies in the docker container.srt
- 9.29 KB
3. Pull and validate appropriate python image.srt
- 8.36 KB
12. Delete Docker Container.srt
- 7.75 KB
5. Quick recap about Docker containers.srt
- 7.39 KB
8. Add Data Copier container to custom network.srt
- 4.68 KB
9. Installing OS libraries as part of Docker container.srt
- 4.27 KB
10. Validate Network Connectivity between Docker Containers.srt
- 3.66 KB
2. Prepare Database for validation.srt
- 3.44 KB
7. Copy source data files into container.srt
- 3.32 KB
1. Dockerizing the application - Introduction.srt
- 1.32 KB
18
11. list and set - Usage.mp4
- 59.8 MB
15. Sorting list of Delimited Strings.mp4
- 47.41 MB
14. Sorting data in lists and tuples.mp4
- 36.66 MB
16. Exercises - Sorting lists and sets.mp4
- 34.01 MB
2. Overview of list and set.mp4
- 28.6 MB
8. Adding and Deleting elements - set.mp4
- 27.01 MB
13. List of Delimited Strings.mp4
- 26.73 MB
4. Accessing elements from list.mp4
- 24.82 MB
5. Adding elements to list.mp4
- 16.92 MB
12. Exercises - Basic Operations on list and.mp4
- 15.66 MB
7. Other list operations.mp4
- 15.19 MB
6. Updating and Deleting elements -list.mp4
- 13.88 MB
3. Common Operations.mp4
- 13.37 MB
10. Validating sets.mp4
- 13.06 MB
9. Typical set operations.mp4
- 11 MB
1. Overview of Collections - list and set - Introduction.mp4
- 10.25 MB
15. Sorting list of Delimited Strings.srt
- 14.18 KB
14. Sorting data in lists and tuples.srt
- 11.82 KB
11. list and set - Usage.srt
- 11.34 KB
13. List of Delimited Strings.srt
- 7.76 KB
16. Exercises - Sorting lists and sets.srt
- 7.52 KB
2. Overview of list and set.srt
- 6.5 KB
8. Adding and Deleting elements - set.srt
- 6.28 KB
4. Accessing elements from list.srt
- 5.56 KB
12. Exercises - Basic Operations on list and.srt
- 5.36 KB
5. Adding elements to list.srt
- 4.08 KB
3. Common Operations.srt
- 3.9 KB
1. Overview of Collections - list and set - Introduction.srt
- 3.65 KB
7. Other list operations.srt
- 3.5 KB
6. Updating and Deleting elements -list.srt
- 3.44 KB
10. Validating sets.srt
- 3.26 KB
9. Typical set operations.srt
- 2.92 KB
8.1 Adding and Deleting elements - set.html
- 170 B
4.1 Accessing Elements from list.html
- 166 B
2.1 Overview of list and set.html
- 162 B
5.1 Adding Elements to list.html
- 161 B
9.1 Typical set operations.html
- 160 B
7.1 Other list operations.html
- 159 B
11.1 list and set - Usage.html
- 156 B
3.1 Common Operations.html
- 155 B
10.1 Validating set.html
- 152 B
30. Understanding Python Virtual Environments
15. Validate Python and Package Compatibility and Install Python 3.6.mp4
- 58.77 MB
13. Install Dependencies for Data Engineering Application.mp4
- 52.53 MB
3. Create Virtual Environment for Web Application.mp4
- 49.78 MB
5. Installing Dependencies for Web Application using pip.mp4
- 45.57 MB
11. Install Dependencies using requirements file for Web Application.mp4
- 43.8 MB
7. Uninstall Packages using pip.mp4
- 27.07 MB
12. Create Virtual Environment for Data Engineering Application.mp4
- 27.02 MB
14. Install Dependencies for Data Engineering Application using Python 3.6.mp4
- 21.56 MB
2. Validating Python Versions.mp4
- 18.71 MB
16. Conclusion about understanding Python Virtual Environments.mp4
- 17.59 MB
6. Getting Details about installed packages using pip.mp4
- 17.1 MB
4. Reviewing dependencies installed in Virtual Environment.mp4
- 16.12 MB
10. Define requirements file for Web Application.mp4
- 15.24 MB
8. Cleanup Python Virtual Environment.mp4
- 14.5 MB
9. Recreate and Activate Virtual Environment for Web Application.mp4
- 6.6 MB
1. Introduction to Python Virtual Environments.mp4
- 1.8 MB
3. Create Virtual Environment for Web Application.srt
- 10.14 KB
5. Installing Dependencies for Web Application using pip.srt
- 10.08 KB
15. Validate Python and Package Compatibility and Install Python 3.6.srt
- 8.78 KB
13. Install Dependencies for Data Engineering Application.srt
- 6.88 KB
11. Install Dependencies using requirements file for Web Application.srt
- 5.29 KB
10. Define requirements file for Web Application.srt
- 5.07 KB
7. Uninstall Packages using pip.srt
- 4.96 KB
2. Validating Python Versions.srt
- 4.39 KB
14. Install Dependencies for Data Engineering Application using Python 3.6.srt
- 4.27 KB
6. Getting Details about installed packages using pip.srt
- 4.04 KB
4. Reviewing dependencies installed in Virtual Environment.srt
- 4.02 KB
12. Create Virtual Environment for Data Engineering Application.srt
- 3.93 KB
16. Conclusion about understanding Python Virtual Environments.srt
- 3.81 KB
9. Recreate and Activate Virtual Environment for Web Application.srt
- 3.79 KB
8. Cleanup Python Virtual Environment.srt
- 2.44 KB
1. Introduction to Python Virtual Environments.srt
- 1.08 KB
[Tutorialsplanet.NET].url
- 128 B
1. Introduction about the course
8. [Must Watch] Setting up Course Material.mp4
- 58.35 MB
1. Introduction about course.mp4
- 38.1 MB
5. Training Approach.mp4
- 36.72 MB
3. Pre-requisites.mp4
- 32.13 MB
9.1 airtrafficdata.zip
- 29.36 MB
6. Overview of Environments for Hands on Practice (Must Watch).mp4
- 21.23 MB
2. Desired Audience.mp4
- 20.51 MB
4. [Must Watch] 30 Day Money Back Guarantee - Feedback and Rating.mp4
- 6.04 MB
7.1 data-engineering-essentials.zip
- 5.62 MB
8. [Must Watch] Setting up Course Material.srt
- 11.97 KB
1. Introduction about course.srt
- 7.76 KB
5. Training Approach.srt
- 7.69 KB
3. Pre-requisites.srt
- 6.59 KB
6. Overview of Environments for Hands on Practice (Must Watch).srt
- 4.76 KB
2. Desired Audience.srt
- 4.7 KB
4. [Must Watch] 30 Day Money Back Guarantee - Feedback and Rating.srt
- 4.08 KB
7. Free Download - Course Material.html
- 2.16 KB
9. How to access data sets used in this course.html
- 812 B
33. Data Copier - Reading Data using Pandas
4. Reading JSON Data using Pandas.mp4
- 51.06 MB
5. Previewing Data using Pandas.mp4
- 48.66 MB
6. Reading Data in Chunks using Pandas.mp4
- 37.62 MB
2. Overview of Retail Data.mp4
- 36.07 MB
3. Adding Pandas to the project.mp4
- 31.76 MB
7. Dynamically read files using os.mp4
- 28.43 MB
1. Reading Data using Pandas - Introduction.mp4
- 9.82 MB
5. Previewing Data using Pandas.srt
- 14.49 KB
6. Reading Data in Chunks using Pandas.srt
- 11.58 KB
4. Reading JSON Data using Pandas.srt
- 9.63 KB
7. Dynamically read files using os.srt
- 8.92 KB
3. Adding Pandas to the project.srt
- 7.08 KB
2. Overview of Retail Data.srt
- 5.83 KB
1. Reading Data using Pandas - Introduction.srt
- 2.91 KB
6.1 Reading Data in Chunks using Pandas.html
- 189 B
3.1 Adding Pandas to the project.html
- 182 B
5.1 Previewing Data using Pandas.html
- 182 B
4.1 Reading JSON Data using Pandas.html
- 179 B
2.1 Overview of Retail Data.html
- 177 B
7.1 Dynamically read files using os.html
- 176 B
1.1 Reading Data using Pandas - Introduction.html
- 166 B
4. Networking Concepts for Beginners - ip addresses and port numbers
3. Port Numbers associated with Applications or Services.mp4
- 50.95 MB
13. Access Web Application using Private IP using SSH as proxy.mp4
- 42.94 MB
9. Setup Web Application and access using local ip.mp4
- 42.18 MB
5. Setup Apache2 on Ubuntu.mp4
- 41.46 MB
8. Overview of Public IP Address associated with a server.mp4
- 38.06 MB
7. Overview of Private IP Address associated with a server.mp4
- 30.25 MB
10. Setup Web Application and access using private ip.mp4
- 30.23 MB
11. Disable Access to Web Application using Public ip.mp4
- 25.03 MB
2. Different IP Address Types.mp4
- 21.7 MB
4. Reverting port for SSH to default port number.mp4
- 21.16 MB
6. Overview of localhost.mp4
- 15.94 MB
1. Enable telnet on Windows.mp4
- 14 MB
12. Install sshuttle on Mac using brew.mp4
- 10.78 MB
3. Port Numbers associated with Applications or Services.srt
- 12.11 KB
5. Setup Apache2 on Ubuntu.srt
- 10.06 KB
13. Access Web Application using Private IP using SSH as proxy.srt
- 9.15 KB
9. Setup Web Application and access using local ip.srt
- 7.62 KB
8. Overview of Public IP Address associated with a server.srt
- 7.43 KB
10. Setup Web Application and access using private ip.srt
- 5.63 KB
7. Overview of Private IP Address associated with a server.srt
- 5.63 KB
11. Disable Access to Web Application using Public ip.srt
- 5.23 KB
1. Enable telnet on Windows.srt
- 4.97 KB
2. Different IP Address Types.srt
- 4.87 KB
6. Overview of localhost.srt
- 4.73 KB
12. Install sshuttle on Mac using brew.srt
- 4.63 KB
4. Reverting port for SSH to default port number.srt
- 4.01 KB
2. Setting up Environment using AWS Cloud9
9. Setup Jupyter Lab on Cloud9.mp4
- 47.58 MB
7. Associating Elastic IPs to Cloud9 Instance.mp4
- 36.23 MB
2. Creating Cloud9 Environment.mp4
- 33.91 MB
1. Getting Started with Cloud9.mp4
- 23.23 MB
6. Opening ports for Cloud9 Instance.mp4
- 22.7 MB
8. Increase EBS Volume Size of Cloud9 Instance.mp4
- 21.15 MB
3. Warming up with Cloud9 IDE.mp4
- 20.99 MB
5. Overview of EC2 related to Cloud9.mp4
- 10.37 MB
4. Details about material to setup postgres database using docker.mp4
- 9.92 MB
9. Setup Jupyter Lab on Cloud9.srt
- 11.07 KB
2. Creating Cloud9 Environment.srt
- 7.66 KB
7. Associating Elastic IPs to Cloud9 Instance.srt
- 6.61 KB
3. Warming up with Cloud9 IDE.srt
- 5.58 KB
8. Increase EBS Volume Size of Cloud9 Instance.srt
- 5.51 KB
6. Opening ports for Cloud9 Instance.srt
- 5.05 KB
1. Getting Started with Cloud9.srt
- 4.83 KB
4. Details about material to setup postgres database using docker.srt
- 2.8 KB
5. Overview of EC2 related to Cloud9.srt
- 2.53 KB
10. [Commands] Setup Jupyter Lab on Cloud9.html
- 615 B
[Tutorialsplanet.NET].url
- 128 B
40. Setup Hadoop on Single Node Cluster
5. Configure Hadoop HDFS.mp4
- 47.35 MB
6. Start and Validate HDFS.mp4
- 46.12 MB
2. Setup Prerequisties.mp4
- 31.43 MB
4. Download and Install Hadoop.mp4
- 30.56 MB
9. Managing Single Node Hadoop.mp4
- 20.23 MB
3. Setup Password less login.mp4
- 17.24 MB
1. Introduction to Single Node Hadoop Cluster.mp4
- 16.4 MB
8. Start and Validate YARN.mp4
- 14.29 MB
7. Configure Hadoop YARN.mp4
- 7.72 MB
5. Configure Hadoop HDFS.srt
- 10.79 KB
6. Start and Validate HDFS.srt
- 9.8 KB
2. Setup Prerequisties.srt
- 8.18 KB
4. Download and Install Hadoop.srt
- 7 KB
9. Managing Single Node Hadoop.srt
- 6.68 KB
3. Setup Password less login.srt
- 5.97 KB
1. Introduction to Single Node Hadoop Cluster.srt
- 4.88 KB
8. Start and Validate YARN.srt
- 3.09 KB
7. Configure Hadoop YARN.srt
- 1.91 KB
[Tutorialsplanet.NET].url
- 128 B
31. Overview of Pycharm for Python Application Development
4. Setup Getting Started Project using Pycharm.mp4
- 30.22 MB
10. Overview of Pycharm Integrated Terminal.mp4
- 25.38 MB
12. Overview of Run Time Arguments for Python Applications.mp4
- 21.48 MB
3. Installation of Pycharm on Mac.mp4
- 20.65 MB
13. Passing Run Time Arguments using Pycharm.mp4
- 20.45 MB
2. Installation of Pycharm on Windows.mp4
- 18.36 MB
6. Setup de-demo project using Pycharm.mp4
- 15.4 MB
8. Accessing Setting in Pycharm and Changing Font Size on Mac.mp4
- 13.89 MB
9. Install Python Packages using Pycharm.mp4
- 13.58 MB
5. Setup Getting Started Project using Pycharm on Mac.mp4
- 12.8 MB
11. Overview of Pycharm Integrated Terminal on Mac.mp4
- 12.26 MB
7. Accessing Setting in Pycharm and Changing Font Size.mp4
- 9.01 MB
1. Introduction to Pycharm for Python Application Development.mp4
- 4.28 MB
4. Setup Getting Started Project using Pycharm.srt
- 9.08 KB
10. Overview of Pycharm Integrated Terminal.srt
- 8.18 KB
12. Overview of Run Time Arguments for Python Applications.srt
- 6.64 KB
13. Passing Run Time Arguments using Pycharm.srt
- 6.13 KB
5. Setup Getting Started Project using Pycharm on Mac.srt
- 5.88 KB
11. Overview of Pycharm Integrated Terminal on Mac.srt
- 5.85 KB
3. Installation of Pycharm on Mac.srt
- 5.84 KB
6. Setup de-demo project using Pycharm.srt
- 5.52 KB
9. Install Python Packages using Pycharm.srt
- 5.16 KB
2. Installation of Pycharm on Windows.srt
- 4.51 KB
8. Accessing Setting in Pycharm and Changing Font Size on Mac.srt
- 4.02 KB
7. Accessing Setting in Pycharm and Changing Font Size.srt
- 2.94 KB
1. Introduction to Pycharm for Python Application Development.srt
- 2.31 KB
45. Data Engineering using Spark SQL - Managing Tables - Basic DDL and DML
1. Introduction.mp4
- 20.06 MB
1. Introduction.srt
- 4.16 KB
1.1 Basic DDL and DML - Introduction.html
- 138 B
[Tutorialsplanet.NET].url
- 128 B
[Tutorialsplanet.NET].url
- 128 B
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InfoHash:
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Last updated:
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