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Название [Tutorialsplanet.NET] Udemy - Data Engineering Essentials Hands-on SQL Python and Spark
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[Tutorialsplanet.NET].url 128б
[Tutorialsplanet.NET].url 128б
[Tutorialsplanet.NET].url 128б
[Tutorialsplanet.NET].url 128б
[Tutorialsplanet.NET].url 128б
[Tutorialsplanet.NET].url 128б
1.1 Basic DDL and DML - Introduction.html 138б
1.1 Basic Transformations.html 146б
1.1 Database Programming using Pandas.html 184б
1.1 Getting help or usage.html 141б
1.1 Getting Started.html 134б
1.1 Installing Python.html 146б
1.1 Introduction to Getting Started for Data copier.html 148б
1.1 Loading Data from files to tables.html 183б
1.1 Overview of main function.html 167б
1.1 Overview of Partitioning.html 161б
1.1 Overview of Pre-Defined Functions.html 158б
1.1 Overview of Views.html 151б
1.1 Reading Data using Pandas - Introduction.html 166б
1.1 Signing up for GCP.html 146б
1.1 User Defined Functions.html 146б
1. Basic Programming Constructs using Python - Introduction.mp4 8.67Мб
1. Basic Programming Constructs using Python - Introduction.srt 3.43Кб
1. Basics of File IO using Python - Introduction.mp4 19.15Мб
1. Basics of File IO using Python - Introduction.srt 5.55Кб
1. Basic Transformations - Introduction.mp4 16.63Мб
1. Basic Transformations - Introduction.srt 4.96Кб
1. Database Operations - CRUD Operations - Introduction.mp4 10.13Мб
1. Database Operations - CRUD Operations - Introduction.srt 3.17Кб
1. Database Programming - Batch Operations - Introduction.mp4 8.08Мб
1. Database Programming - Batch Operations - Introduction.srt 2.75Кб
1. Database Programming using Pandas - Introduction.mp4 11.85Мб
1. Database Programming using Pandas - Introduction.srt 2.67Кб
1. Delimited Files and Collections.mp4 9.22Мб
1. Delimited Files and Collections.srt 2.87Кб
1. Deploy and Validate Application on Remote Server - Introduction.mp4 9.76Мб
1. Deploy and Validate Application on Remote Server - Introduction.srt 2.88Кб
1. Develop myFilter.mp4 38.67Мб
1. Develop myFilter.srt 9.71Кб
1. Dockerizing the application - Introduction.mp4 4.85Мб
1. Dockerizing the application - Introduction.srt 1.32Кб
1. Enable telnet on Windows.mp4 14.00Мб
1. Enable telnet on Windows.srt 4.97Кб
1. Getting help or usage.mp4 34.51Мб
1. Getting help or usage.srt 6.00Кб
1. Getting Started - Overview.mp4 9.76Мб
1. Getting Started - Overview.srt 2.84Кб
1. Getting Started with Cloud9.mp4 23.23Мб
1. Getting Started with Cloud9.srt 4.83Кб
1. Installing Python on Windows.mp4 48.48Мб
1. Installing Python on Windows.srt 15.44Кб
1. Introduction.mp4 20.06Мб
1. Introduction.srt 4.16Кб
1. Introduction about course.mp4 38.10Мб
1. Introduction about course.srt 7.76Кб
1. Introduction - Perform Database Operations.mp4 9.20Мб
1. Introduction - Perform Database Operations.srt 2.82Кб
1. Introduction to Getting Started for Data copier.mp4 11.61Мб
1. Introduction to Getting Started for Data copier.srt 4.64Кб
1. Introduction to Pycharm for Python Application Development.mp4 4.28Мб
1. Introduction to Pycharm for Python Application Development.srt 2.31Кб
1. Introduction to Python Virtual Environments.mp4 1.80Мб
1. Introduction to Python Virtual Environments.srt 1.08Кб
1. Introduction to Single Node Hadoop Cluster.mp4 16.40Мб
1. Introduction to Single Node Hadoop Cluster.srt 4.88Кб
1. Loading Data from files to tables - Introduction.mp4 7.30Мб
1. Loading Data from files to tables - Introduction.srt 1.86Кб
1. Manipulating Collections using loops - Introduction.mp4 8.86Мб
1. Manipulating Collections using loops - Introduction.mp4 14.30Мб
1. Manipulating Collections using loops - Introduction.srt 2.99Кб
1. Manipulating Collections using loops - Introduction.srt 4.39Кб
1. Overview of Collections - list and set - Introduction.mp4 10.25Мб
1. Overview of Collections - list and set - Introduction.srt 3.65Кб
1. Overview of Functions.mp4 41.40Мб
1. Overview of Functions.srt 7.65Кб
1. Overview of main function.mp4 38.65Мб
1. Overview of main function.srt 7.17Кб
1. Overview of Pandas Libraries.mp4 12.33Мб
1. Overview of Pandas Libraries.srt 3.94Кб
1. Overview of Partitioning.mp4 8.91Мб
1. Overview of Partitioning.srt 2.24Кб
1. Overview of REST APIs.mp4 26.04Мб
1. Overview of REST APIs.srt 5.55Кб
1. Overview of Views.mp4 46.75Мб
1. Overview of Views.srt 10.11Кб
1. Predefined Functions - Introduction.mp4 6.84Мб
1. Predefined Functions - Introduction.srt 2.82Кб
1. Preparing Data Sets.mp4 18.14Мб
1. Preparing Data Sets.srt 4.42Кб
1. Processing JSON Data - Introduction.mp4 9.49Мб
1. Processing JSON Data - Introduction.srt 3.04Кб
1. Reading Data using Pandas - Introduction.mp4 9.82Мб
1. Reading Data using Pandas - Introduction.srt 2.91Кб
1. Setup Data Sets for Practice.mp4 38.95Мб
1. Setup Data Sets for Practice.srt 7.08Кб
1. Signing up for GCP.mp4 23.59Мб
1. Signing up for GCP.srt 5.31Кб
1. User Defined Functions - Introduction.mp4 7.34Мб
1. User Defined Functions - Introduction.srt 2.11Кб
1. Using Custom Docker Image - Introduction.mp4 4.99Мб
1. Using Custom Docker Image - Introduction.srt 924б
10. [Commands] Setup Jupyter Lab on Cloud9.html 615б
10.1 Cumulative or Moving Aggregations.html 167б
10.1 Dropping users table.html 171б
10.1 Example - Web Application.html 153б
10.1 Getting HDFS Storage Usage.html 146б
10.1 Lambda Functions.html 140б
10.1 Querying Data From Table.html 162б
10.1 Role of Spark or Hive Metastore.html 150б
10.1 Setup Project using Pycharm.html 160б
10.1 Sorting Data.html 137б
10.1 Usage Scenarios.html 152б
10.1 Validating set.html 152б
10.1 Writing Data Frames to Files.html 158б
10. Apply Schema on lists from files.mp4 78.09Мб
10. Apply Schema on lists from files.srt 20.38Кб
10. Common Use Cases for JSON.mp4 76.28Мб
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10. Cumulative Operations using itertools.mp4 48.63Мб
10. Cumulative Operations using itertools.srt 15.40Кб
10. Cumulative or Moving Aggregations.mp4 51.16Мб
10. Cumulative or Moving Aggregations.srt 10.84Кб
10. Define requirements file for Web Application.mp4 15.24Мб
10. Define requirements file for Web Application.srt 5.07Кб
10. Drop users table.mp4 15.31Мб
10. Drop users table.srt 4.04Кб
10. Example - Web Application.mp4 67.32Мб
10. Example - Web Application.srt 10.16Кб
10. Exercises - Basic Programming Constructs.mp4 35.24Мб
10. Exercises - Basic Programming Constructs.srt 12.16Кб
10. Getting Current Date or Timestamp.mp4 22.45Мб
10. Getting Current Date or Timestamp.srt 5.03Кб
10. Getting HDFS Storage Usage.mp4 15.04Мб
10. Getting HDFS Storage Usage.srt 3.49Кб
10. Lambda Functions.mp4 27.17Мб
10. Lambda Functions.srt 6.71Кб
10. Overview of Grouped Aggregations.mp4 13.43Мб
10. Overview of Grouped Aggregations.srt 4.02Кб
10. Overview of Pycharm Integrated Terminal.mp4 25.38Мб
10. Overview of Pycharm Integrated Terminal.srt 8.18Кб
10. Process dict values.mp4 19.96Мб
10. Process dict values.srt 6.80Кб
10. Querying Data From Table.mp4 70.15Мб
10. Querying Data From Table.srt 16.49Кб
10. Read csv into list of strings.mp4 58.97Мб
10. Read csv into list of strings.srt 11.21Кб
10. Role of Spark Metastore or Hive Metastore.mp4 27.82Мб
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10. Run and Validate Dockerized Application.mp4 73.58Мб
10. Run and Validate Dockerized Application.srt 12.61Кб
10. Run application using Docker.mp4 60.25Мб
10. Run application using Docker.srt 9.29Кб
10. Setup Project using Pycharm.mp4 30.68Мб
10. Setup Project using Pycharm.srt 7.57Кб
10. Setup Web Application and access using private ip.mp4 30.23Мб
10. Setup Web Application and access using private ip.srt 5.63Кб
10. Sorting Data.mp4 32.16Мб
10. Sorting Data.srt 7.15Кб
10. Usage Scenarios.mp4 28.19Мб
10. Usage Scenarios.srt 5.09Кб
10. Validate Integration logic.mp4 49.50Мб
10. Validate Integration logic.srt 8.48Кб
10. Validate Jupyter Lab Setup.mp4 67.88Мб
10. Validate Jupyter Lab Setup.srt 15.12Кб
10. Validate myJoin Function.mp4 46.88Мб
10. Validate myJoin Function.srt 14.26Кб
10. Validate Network Connectivity between Docker Containers.mp4 22.50Мб
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10. Validating sets.mp4 13.06Мб
10. Validating sets.srt 3.26Кб
10. Writing Data Frames to Files.mp4 75.74Мб
10. Writing Data Frames to Files.srt 17.35Кб
11.1 Analytic Functions – Windowing.html 162б
11.1 Conclusion - Final Solution.html 150б
11.1 Exercise - Database Operations.html 158б
11.1 Exercise - Getting Started with Spark SQL.html 143б
11.1 Joining Data Frames.html 149б
11.1 list and set - Usage.html 156б
11.1 Managing Dependencies for the project.html 154б
11.1 Recap - CRUD Operations.html 159б
11.1 Sub Partitioning.html 153б
11.1 Usage of Lambda Functions.html 149б
11.1 Using HDFS Stat Commands.html 143б
11. Analytic Functions - Windowing.mp4 82.29Мб
11. Analytic Functions - Windowing.srt 18.41Кб
11. Conclusion - Final Solution.mp4 23.39Мб
11. Conclusion - Final Solution.srt 6.19Кб
11. Date Arithmetic.mp4 37.76Мб
11. Date Arithmetic.srt 7.86Кб
11. Develop logic for multiple tables.mp4 34.60Мб
11. Develop logic for multiple tables.srt 5.56Кб
11. Disable Access to Web Application using Public ip.mp4 25.03Мб
11. Disable Access to Web Application using Public ip.srt 5.23Кб
11. Dynamic Arithmetic Operations using eval and exec.mp4 16.38Мб
11. Dynamic Arithmetic Operations using eval and exec.srt 6.19Кб
11. Exercise - Database Operations.mp4 18.74Мб
11. Exercise - Database Operations.srt 3.67Кб
11. Exercise - Getting Started with Spark SQL.mp4 58.18Мб
11. Exercise - Getting Started with Spark SQL.srt 12.56Кб
11. Exercises - Development of Map Reduce APIs.mp4 41.98Мб
11. Exercises - Development of Map Reduce APIs.srt 10.40Кб
11. Get Order Count by Status.mp4 50.02Мб
11. Get Order Count by Status.srt 15.50Кб
11. Install Dependencies using requirements file for Web Application.mp4 43.80Мб
11. Install Dependencies using requirements file for Web Application.srt 5.29Кб
11. Intergrate Spark 2 with Jupyter Lab.mp4 38.77Мб
11. Intergrate Spark 2 with Jupyter Lab.srt 9.50Кб
11. Joining Data Frames.mp4 94.61Мб
11. Joining Data Frames.srt 18.50Кб
11. list and set - Usage.mp4 59.80Мб
11. list and set - Usage.srt 11.34Кб
11. Managing Dependencies for the project.mp4 29.90Мб
11. Managing Dependencies for the project.srt 5.30Кб
11. Overview of Pycharm Integrated Terminal on Mac.mp4 12.26Мб
11. Overview of Pycharm Integrated Terminal on Mac.srt 5.85Кб
11. Processing dict items.mp4 36.52Мб
11. Processing dict items.srt 10.73Кб
11. Recap - CRUD Operations.mp4 9.67Мб
11. Recap - CRUD Operations.srt 3.54Кб
11. Running Application from the Docker Container.mp4 51.82Мб
11. Running Application from the Docker Container.srt 9.60Кб
11. Sub Partitioning.mp4 41.98Мб
11. Sub Partitioning.srt 8.98Кб
11. Usage of Lambda Functions.mp4 79.27Мб
11. Usage of Lambda Functions.srt 11.45Кб
11. USing HDFS Stat Commands.mp4 10.79Мб
11. USing HDFS Stat Commands.srt 2.29Кб
11. Using itertools starmap.mp4 31.09Мб
11. Using itertools starmap.srt 8.79Кб
11. Write to JSON files using json module.mp4 64.99Мб
11. Write to JSON files using json module.srt 10.86Кб
11. Writing Strings to file in Append Mode.mp4 33.46Мб
11. Writing Strings to file in Append Mode.srt 9.46Кб
12.1 Analytic Functions – Ranking.html 160б
12.1 Create GitHub Project.html 157б
12.1 Exercises - Partitioning Tables.html 166б
12.1 Exercise - User Defined Functions.html 155б
12.1 HDFS File Permissions.html 141б
12. Analytic Functions - Ranking.mp4 72.65Мб
12. Analytic Functions - Ranking.srt 19.69Кб
12. Beginning Date or Time using date_trunc.mp4 28.04Мб
12. Beginning Date or Time using date_trunc.srt 5.88Кб
12. Create GitHub Project.mp4 63.97Мб
12. Create GitHub Project.srt 11.79Кб
12. Create Virtual Environment for Data Engineering Application.mp4 27.02Мб
12. Create Virtual Environment for Data Engineering Application.srt 3.93Кб
12. Delete Docker Container.mp4 37.58Мб
12. Delete Docker Container.srt 7.75Кб
12. Download and Install Spark 3.mp4 14.65Мб
12. Download and Install Spark 3.srt 2.94Кб
12. Exercise - Partitioned Tables.mp4 9.79Мб
12. Exercise - Partitioned Tables.srt 2.69Кб
12. Exercises - Basic Operations on list and.mp4 15.66Мб
12. Exercises - Basic Operations on list and.srt 5.36Кб
12. Exercise - User Defined Functions.mp4 12.18Мб
12. Exercise - User Defined Functions.srt 2.96Кб
12. Get Revenue Details per Order.mp4 99.79Мб
12. Get Revenue Details per Order.srt 24.31Кб
12. HDFS File Permissions.mp4 68.92Мб
12. HDFS File Permissions.srt 13.46Кб
12. Install sshuttle on Mac using brew.mp4 10.78Мб
12. Install sshuttle on Mac using brew.srt 4.63Кб
12. Managing Files and Folders using Python.mp4 115.22Мб
12. Managing Files and Folders using Python.srt 23.38Кб
12. Overview of itertools groupby.mp4 35.56Мб
12. Overview of itertools groupby.srt 10.34Кб
12. Overview of Run Time Arguments for Python Applications.mp4 21.48Мб
12. Overview of Run Time Arguments for Python Applications.srt 6.64Кб
12. Sorting dict items.mp4 21.63Мб
12. Sorting dict items.srt 6.09Кб
12. Validate logic for table list as run time argument.mp4 68.92Мб
12. Validate logic for table list as run time argument.srt 11.70Кб
12. Write to JSON files using pandas.mp4 49.45Мб
12. Write to JSON files using pandas.srt 8.29Кб
13.1 Analytic Functions - Filtering.html 161б
13.1 Overriding Properties.html 141б
13. Access Web Application using Private IP using SSH as proxy.mp4 42.94Мб
13. Access Web Application using Private IP using SSH as proxy.srt 9.15Кб
13. Analytic Functions - Filtering.mp4 58.87Мб
13. Analytic Functions - Filtering.srt 16.05Кб
13. Configure Spark 3.mp4 58.91Мб
13. Configure Spark 3.srt 10.16Кб
13. Exercises - Overview of Collections - dict and set.mp4 15.75Мб
13. Exercises - Overview of Collections - dict and set.srt 4.96Кб
13. Get Order Count by Month.mp4 27.67Мб
13. Get Order Count by Month.srt 8.27Кб
13. Get order count by status using itertools groupby.mp4 25.53Мб
13. Get order count by status using itertools groupby.srt 6.80Кб
13. Install Dependencies for Data Engineering Application.mp4 52.53Мб
13. Install Dependencies for Data Engineering Application.srt 6.88Кб
13. List of Delimited Strings.mp4 26.73Мб
13. List of Delimited Strings.srt 7.76Кб
13. Overriding Properties.mp4 42.70Мб
13. Overriding Properties.srt 9.30Кб
13. Passing Run Time Arguments using Pycharm.mp4 20.45Мб
13. Passing Run Time Arguments using Pycharm.srt 6.13Кб
13. Push changes to remote git repository.mp4 30.96Мб
13. Push changes to remote git repository.srt 5.94Кб
13. Using to_char and to_date.mp4 74.11Мб
13. Using to_char and to_date.srt 14.97Кб
14.1 Joining Data Sets.html 155б
14.1 Ranking and Filtering - Recap.html 161б
14. Extracting Information using extract.mp4 21.79Мб
14. Extracting Information using extract.srt 4.81Кб
14. Get revenue per order using itertools groupby.mp4 66.67Мб
14. Get revenue per order using itertools groupby.srt 15.42Кб
14. Install Dependencies for Data Engineering Application using Python 3.6.mp4 21.56Мб
14. Install Dependencies for Data Engineering Application using Python 3.6.srt 4.27Кб
14. Joining Data Sets.mp4 102.56Мб
14. Joining Data Sets.srt 19.42Кб
14. Ranking and Filtering - Recap.mp4 19.18Мб
14. Ranking and Filtering - Recap.srt 4.85Кб
14. Sorting data in lists and tuples.mp4 36.66Мб
14. Sorting data in lists and tuples.srt 11.82Кб
14. Validate Spark 3 using CLIs.mp4 62.49Мб
14. Validate Spark 3 using CLIs.srt 12.22Кб
15. Dealing with Unix Timestamp or epoch.mp4 17.31Мб
15. Dealing with Unix Timestamp or epoch.srt 4.31Кб
15. Intergrate Spark 3 with Jupyter Lab.mp4 25.31Мб
15. Intergrate Spark 3 with Jupyter Lab.srt 6.58Кб
15. Limitations of Map Reduce Libraries.mp4 12.92Мб
15. Limitations of Map Reduce Libraries.srt 3.84Кб
15. Manipulate Collections using Comprehensions.mp4 6.25Мб
15. Manipulate Collections using Comprehensions.srt 1.89Кб
15. Sorting list of Delimited Strings.mp4 47.41Мб
15. Sorting list of Delimited Strings.srt 14.18Кб
15. Validate Python and Package Compatibility and Install Python 3.6.mp4 58.77Мб
15. Validate Python and Package Compatibility and Install Python 3.6.srt 8.78Кб
16.1 Overview of Numeric Functions.html 155б
16. Conclusion about understanding Python Virtual Environments.mp4 17.59Мб
16. Conclusion about understanding Python Virtual Environments.srt 3.81Кб
16. Exercises - Sorting lists and sets.mp4 34.01Мб
16. Exercises - Sorting lists and sets.srt 7.52Кб
16. Exercises - Understanding Map Reduce Libraries.mp4 11.57Мб
16. Exercises - Understanding Map Reduce Libraries.srt 3.04Кб
16. List Comprehensions using Python.mp4 44.71Мб
16. List Comprehensions using Python.srt 11.36Кб
16. Overview of Numeric Functions.mp4 40.38Мб
16. Overview of Numeric Functions.srt 10.23Кб
17.1 Data Type Conversion.html 146б
17. Data Type Conversion.mp4 23.29Мб
17. Data Type Conversion.srt 5.35Кб
17. Set Comprehensions using Python.mp4 19.00Мб
17. Set Comprehensions using Python.srt 5.66Кб
18.1 Handling NULL Values.html 146б
18. Dict Comprehensions in Python.mp4 30.66Мб
18. Dict Comprehensions in Python.srt 8.70Кб
18. Handling NULL Values.mp4 26.74Мб
18. Handling NULL Values.srt 6.10Кб
19.1 Limitations of using Loops.html 164б
19.1 Using CASE and WHEN.html 145б
19. Limitations of using loops.mp4 36.33Мб
19. Limitations of using loops.srt 7.76Кб
19. Using CASE and WHEN.mp4 45.58Мб
19. Using CASE and WHEN.srt 9.11Кб
2.1 Defining Functions.html 142б
2.1 Getting Help.html 142б
2.1 Listing HDFS Files.html 138б
2.1 List Partitioning.html 154б
2.1 Named Queries - Using WITH Clause.html 165б
2.1 Overview of Anaconda.html 149б
2.1 Overview of Database Programming.html 170б
2.1 Overview of dict and tuple.html 166б
2.1 Overview of Environment Variables.html 175б
2.1 Overview of list and set.html 162б
2.1 Overview of Pre-defined Functions.html 156б
2.1 Overview of Retail Data.html 177б
2.1 Overview of Spark Documentation.html 150б
2.1 Overview of SQL.html 145б
2.1 Pandas Data Structures – Overview.html 161б
2.1 Populating departments table.html 178б
2.1 Problem Statement - Data Copier.html 164б
2.1 Reading files into collections.html 168б
2.1 Recap of Insert.html 154б
2.1 Spark SQL – Overview.html 143б
2.1 String Manipulation Functions.html 155б
2.1 Understanding GCP Web Console.html 157б
2.1 Validate Postgres Setup using Docker.html 187б
2. Creating Cloud9 Environment.mp4 33.91Мб
2. Creating Cloud9 Environment.srt 7.66Кб
2. Defining Functions.mp4 20.29Мб
2. Defining Functions.srt 4.41Кб
2. Desired Audience.mp4 20.51Мб
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2. Different IP Address Types.mp4 21.70Мб
2. Different IP Address Types.srt 4.87Кб
2. Download and Install Hive.mp4 13.22Мб
2. Download and Install Hive.srt 3.45Кб
2. Filtering Data using filter.mp4 43.77Мб
2. Filtering Data using filter.srt 10.62Кб
2. Getting Help.mp4 22.02Мб
2. Getting Help.srt 6.21Кб
2. Getting started with docker custom image.mp4 37.18Мб
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2. Installation of Pycharm on Windows.mp4 18.36Мб
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2. Listing HDFS Files.mp4 41.48Мб
2. Listing HDFS Files.srt 5.75Кб
2. List Partitioning.mp4 27.93Мб
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2. Overview of Anaconda.mp4 66.29Мб
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2. Overview of Database Programming.mp4 27.84Мб
2. Overview of Database Programming.srt 5.70Кб
2. Overview of Delimited Text Files.mp4 59.24Мб
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2. Overview of dict and tuple.mp4 33.32Мб
2. Overview of dict and tuple.srt 7.74Кб
2. Overview of Environment Variables.mp4 25.39Мб
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2. Overview of File IO.mp4 18.67Мб
2. Overview of File IO.srt 4.90Кб
2. Overview of GCP Web Console.mp4 14.24Мб
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2. Overview of JSON.mp4 19.77Мб
2. Overview of JSON.srt 5.31Кб
2. Overview of list and set.mp4 28.60Мб
2. Overview of list and set.srt 6.50Кб
2. Overview of Named Queries.mp4 27.40Мб
2. Overview of Named Queries.srt 5.97Кб
2. Overview of Predefined Functions.mp4 25.84Мб
2. Overview of Predefined Functions.srt 5.49Кб
2. Overview of Retail Data.mp4 36.07Мб
2. Overview of Retail Data.srt 5.83Кб
2. Overview of Spark Documentation.mp4 20.83Мб
2. Overview of Spark Documentation.srt 3.96Кб
2. Overview of SQL.mp4 14.55Мб
2. Overview of SQL.srt 3.91Кб
2. Pandas Data Structures.mp4 41.64Мб
2. Pandas Data Structures.srt 10.16Кб
2. Populating Departments data into table.mp4 75.06Мб
2. Populating Departments data into table.srt 14.89Кб
2. Prepare Database for validation.mp4 14.99Мб
2. Prepare Database for validation.srt 3.44Кб
2. Problem Statement - Data Copier.mp4 25.09Мб
2. Problem Statement - Data Copier.srt 5.65Кб
2. Push Application Changes to GitHub Repository.mp4 19.28Мб
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2. Reading Files into Collections.mp4 26.75Мб
2. Reading Files into Collections.srt 6.76Кб
2. Recap of Insert.mp4 18.91Мб
2. Recap of Insert.srt 3.61Кб
2. Setup Prerequisties.mp4 31.43Мб
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2. Spark SQL - Overview.mp4 42.50Мб
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2. String Manipulation Functions.mp4 7.81Мб
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2. Using curl command.mp4 44.63Мб
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2. Validate myFilter.mp4 45.69Мб
2. Validate myFilter.srt 10.20Кб
2. Validate Postgres Setup using Docker.mp4 25.61Мб
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2. Validating Python Versions.mp4 18.71Мб
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20. Exercises - Manipulating Collections using loops.mp4 49.95Мб
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3.1 Adding Pandas to the project.html 182б
3.1 Add required dependencies.html 176б
3.1 Common Operations.html 155б
3.1 Common Operations.html 157б
3.1 Create Database and Users Table.html 161б
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3.1 Doc Strings.html 135б
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3.1 Managing Partitions - List.html 161б
3.1 Numeric Functions.html 140б
3.1 Overview of GCP Pricing.html 151б
3.1 Overview of Series.html 148б
3.1 Overview of Spark SQL CLI.html 144б
3.1 Overview of Standard Transformations.html 174б
3.1 Overview of Sub Queries.html 157б
3.1 Preparing Database.html 157б
3.1 Python CLI and Jupyter Notebook.html 160б
3.1 Recap of RDBMS Concepts.html 161б
3.1 Using os module for Environment Variables.html 183б
3.1 Validate departments table.html 176б
3.1 Variables and Objects.html 151б
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3. Case Conversion and Length.srt 5.55Кб
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3. Create Database and Users Table.srt 11.25Кб
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3. Numeric Functions.mp4 30.23Мб
3. Numeric Functions.srt 9.32Кб
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4. [Must Watch] 30 Day Money Back Guarantee - Feedback and Rating.mp4 6.04Мб
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4.1 Accessing Elements - tuples.html 165б
4.1 Copying files from local to HDFS.html 152б
4.1 Create users table in retail_db Database.html 191б
4.1 Creating Data Frames from lists.html 161б
4.1 CTAS - Create Table as Select.html 156б
4.1 Data Types - Commonly used.html 154б
4.1 DDL - Data Definition Language.html 158б
4.1 Manipulating Data.html 154б
4.1 Overview of Jupyter Lab.html 152б
4.1 Overview of Spark SQL Properties.html 151б
4.1 Overview of Strings.html 142б
4.1 Passing Environment Variables using Pycharm.html 185б
4.1 Populating orders table.html 173б
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4.1 Provision Ubuntu 18.04 Virtual Machine.html 153б
4.1 Reading Data from File.html 161б
4.1 Reading JSON Data using Pandas.html 179б
4.1 Returning Values.html 140б
4.1 Row level transformations.html 163б
4.1 Setup Database Client Libraries.html 169б
4.1 Setup Docker.html 145б
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5.1 Adding Elements to list.html 161б
5.1 Advanced DML Operations.html 157б
5.1 Copying files from HDFS local.html 152б
5.1 Data Frames - Basic Operations.html 158б
5.1 DML - Data Manipulation Language.html 160б
5.1 Function - Get Database Connection.html 170б
5.1 Function Parameters and Arguments.html 157б
5.1 Getting unique elements.html 161б
5.1 Operators in Python.html 149б
5.1 Populating Sample Data into users table.html 190б
5.1 Previewing Data using Pandas.html 182б
5.1 Projecting Data.html 140б
5.1 Quick Overview of Docker.html 157б
5.1 Range Partitioning.html 155б
5.1 Read logic using Pandas.html 165б
5.1 Running OS Commands.html 138б
5.1 Setup Docker.html 140б
5.1 String Manipulation Functions.html 152б
5.1 Using IDEs – Pycharm.html 147б
5.1 Validate orders table in database.html 183б
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5. Adding dependencies to the custom image.mp4 28.83Мб
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5. DML - Data Manipulation Language.mp4 41.93Мб
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5. Launch and Validate Hive.mp4 36.08Мб
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5. Operators in Python.mp4 13.19Мб
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5. Overview of EC2 related to Cloud9.mp4 10.37Мб
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5. Overview of Retail Data.mp4 35.72Мб
5. Overview of Retail Data.srt 8.11Кб
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5. Previewing Data using Pandas.mp4 48.66Мб
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5. Process JSON String.mp4 104.42Мб
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5. Projecting Data.mp4 30.08Мб
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5. Quick Overview of Docker.mp4 115.68Мб
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5. Range Partitioning.mp4 18.90Мб
5. Range Partitioning.srt 3.78Кб
5. Read logic using Pandas.mp4 65.73Мб
5. Read logic using Pandas.srt 12.00Кб
5. Running OS Commands using Spark SQL.mp4 24.13Мб
5. Running OS Commands using Spark SQL.srt 4.88Кб
5. Setup Apache2 on Ubuntu.mp4 41.46Мб
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5. Setup Data Set for Validation.srt 3.36Кб
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5. String Manipulation Functions.mp4 47.86Мб
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5. Validate orders table in database.srt 5.92Кб
5. Write Delimited Strings into files.mp4 72.05Мб
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6.1 CSV to Pandas Data Frame.html 154б
6.1 DQL - Data Query Language.html 153б
6.1 Filtering Data.html 152б
6.1 Filtering Data.html 139б
6.1 Formatting Strings.html 141б
6.1 Getting Files Metadata.html 141б
6.1 Managing Partitions - Range.html 162б
6.1 Manipulating dict.html 157б
6.1 Merging or Upserting Data.html 159б
6.1 Overview of Visual Studio Code.html 159б
6.1 Prepare Dataset.html 148б
6.1 Reading data from table using Pandas.html 187б
6.1 Reading Data in Chunks using Pandas.html 189б
6.1 Understanding Warehouse Directory.html 152б
6.1 Validate orders table using Pandas.html 184б
6.1 Validating Python.html 145б
6.1 Varying Arguments.html 141б
6. Best Practices Batch Loading.mp4 10.41Мб
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6. CSV to Pandas Data Frames.mp4 49.00Мб
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6. Deploying application and installing dependencies in the docker container.mp4 62.48Мб
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6. Filtering Data.mp4 69.94Мб
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6. Filtering Data.srt 15.36Кб
6. Formatting Strings.mp4 28.20Мб
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6. Get Revenue for a given product id.mp4 46.66Мб
6. Get Revenue for a given product id.srt 14.03Кб
6. Getting Details about installed packages using pip.mp4 17.10Мб
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6. Getting Files Metadata.mp4 66.85Мб
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6. Merging or Upserting Data.mp4 55.67Мб
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6. Opening ports for Cloud9 Instance.mp4 22.70Мб
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6. Overview of CSV Module.mp4 51.34Мб
6. Overview of CSV Module.srt 13.05Кб
6. Overview of Environments for Hands on Practice (Must Watch).mp4 21.23Мб
6. Overview of Environments for Hands on Practice (Must Watch).srt 4.76Кб
6. Overview of localhost.mp4 15.94Мб
6. Overview of localhost.srt 4.73Кб
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6. Reading data from table using Pandas.mp4 38.96Мб
6. Reading data from table using Pandas.srt 8.21Кб
6. Reading Data in Chunks using Pandas.mp4 37.62Мб
6. Reading Data in Chunks using Pandas.srt 11.58Кб
6. Read text file into string.mp4 33.53Мб
6. Read text file into string.srt 7.34Кб
6. Scripts to Manage Single Node Cluster.mp4 22.37Мб
6. Scripts to Manage Single Node Cluster.srt 7.57Кб
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6. Setup de-demo project using Pycharm.srt 5.52Кб
6. Setup Network and Database Folder for Database using Docker.mp4 30.84Мб
6. Setup Network and Database Folder for Database using Docker.srt 5.96Кб
6. Single JSON Document in Files.mp4 91.04Мб
6. Single JSON Document in Files.srt 16.63Кб
6. Start and Validate HDFS.mp4 46.12Мб
6. Start and Validate HDFS.srt 9.80Кб
6. Tasks - Data Types and Operators.mp4 37.95Мб
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6. Understanding docker custom image build process.srt 4.54Кб
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6. Understanding Warehouse Directory.srt 5.47Кб
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6. Using Visual Studio Code.srt 10.00Кб
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6. Validate read logic.srt 9.17Кб
6. Validating Python.mp4 34.31Мб
6. Validating Python.srt 5.83Кб
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7.1 Conditionals.html 142б
7.1 CRUD Operations - DML and DQL.html 157б
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7.1 Dynamically read files using os.html 176б
7.1 Inserting Data into Table.html 163б
7.1 Joining Tables - Inner.html 145б
7.1 Keyword Arguments.html 141б
7.1 Managing Spark Metastore Databases.html 153б
7.1 Other list operations.html 159б
7.1 Pivoting Rows into Columns.html 160б
7.1 Preparing Data Sets.html 157б
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7.1 Print and Input Functions.html 148б
7.1 Projecting and Filtering.html 154б
7.1 Repartitioning - Range.html 157б
7.1 Setup Jupyter Lab.html 145б
7.1 Setup Postgres Database.html 156б
7.1 Truncate users table.html 171б
7.1 Using ITVersity Labs.html 149б
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7. Accessing Setting in Pycharm and Changing Font Size.srt 2.94Кб
7. Associating Elastic IPs to Cloud9 Instance.mp4 36.23Мб
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7. Copy source data files into container.srt 3.32Кб
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7. Download and Install Spark 2.srt 5.44Кб
7. Dynamically read files using os.mp4 28.43Мб
7. Dynamically read files using os.srt 8.92Кб
7. Free Download - Course Material.html 2.16Кб
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7. Inserting Data into Table.mp4 85.14Мб
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7. Keyword Arguments.mp4 17.28Мб
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7. Overview of Private IP Address associated with a server.mp4 30.25Мб
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7. Preparing Data Sets.mp4 37.58Мб
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7. Previewing Data in HDFS Files.mp4 36.65Мб
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7. Print and Input Functions.mp4 34.00Мб
7. Print and Input Functions.srt 7.33Кб
7. Process REST Payload using Pandas.mp4 69.91Мб
7. Process REST Payload using Pandas.srt 16.43Кб
7. Projecting and Filtering.mp4 76.41Мб
7. Projecting and Filtering.srt 15.78Кб
7. Read Delimited data using CSV.mp4 82.96Мб
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7. Repartitioning - Range.mp4 73.35Мб
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7. Reverse and Concatenate Multiple Strings.mp4 19.88Мб
7. Reverse and Concatenate Multiple Strings.srt 4.43Кб
7. Setup Docker Container for the Database.mp4 66.10Мб
7. Setup Docker Container for the Database.srt 9.86Кб
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7. Setup Jupyter Lab.srt 16.14Кб
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7. Truncate users table.srt 4.15Кб
7. Uninstall Packages using pip.mp4 27.07Мб
7. Uninstall Packages using pip.srt 4.96Кб
7. Using ITVersity Labs.mp4 41.07Мб
7. Using ITVersity Labs.srt 12.00Кб
7. Write logic using Pandas.mp4 54.73Мб
7. Write logic using Pandas.srt 10.38Кб
7. Write string to text file.mp4 37.38Мб
7. Write string to text file.srt 7.97Кб
8. [Must Watch] Setting up Course Material.mp4 58.35Мб
8. [Must Watch] Setting up Course Material.srt 11.97Кб
8.1 Adding and Deleting elements - set.html 170б
8.1 All about for Loops.html 149б
8.1 Date Manipulation Functions.html 150б
8.1 Hash Partitioning.html 154б
8.1 HDFS Block Size.html 134б
8.1 Joining Tables - Outer.html 145б
8.1 Leveraging Google’s Colab.html 153б
8.1 List of tuples.html 154б
8.1 Managing Spark Metastore Tables.html 150б
8.1 Overview of Analytic Functions.html 164б
8.1 Performing Total Aggregations.html 159б
8.1 Quick Recap of Dict Operations.html 168б
8.1 Recap of User Defined Functions.html 155б
8.1 Setup Postgres Database.html 156б
8.1 TCL - Transaction Control Language.html 162б
8.1 Update Existing Table Data.html 166б
8.1 Writing Pandas Dataframe to table.html 184б
8. Accessing Setting in Pycharm and Changing Font Size on Mac.mp4 13.89Мб
8. Accessing Setting in Pycharm and Changing Font Size on Mac.srt 4.02Кб
8. Add Data Copier container to custom network.mp4 26.94Мб
8. Add Data Copier container to custom network.srt 4.68Кб
8. Adding and Deleting elements - set.mp4 27.01Мб
8. Adding and Deleting elements - set.srt 6.28Кб
8. All about for loops.mp4 81.98Мб
8. All about for loops.srt 25.33Кб
8. Cleanup Python Virtual Environment.mp4 14.50Мб
8. Cleanup Python Virtual Environment.srt 2.44Кб
8. Configure Spark 2.mp4 66.77Мб
8. Configure Spark 2.srt 13.36Кб
8. Date Manipulation Functions.mp4 76.62Мб
8. Date Manipulation Functions.srt 16.82Кб
8. Get total commission amount.mp4 37.68Мб
8. Get total commission amount.srt 11.42Кб
8. Hash Partitioning.mp4 26.63Мб
8. Hash Partitioning.srt 6.08Кб
8. HDFS Block Size.mp4 40.64Мб
8. HDFS Block Size.srt 7.45Кб
8. Increase EBS Volume Size of Cloud9 Instance.mp4 21.15Мб
8. Increase EBS Volume Size of Cloud9 Instance.srt 5.51Кб
8. Joining Tables - Outer.mp4 56.20Мб
8. Joining Tables - Outer.srt 11.04Кб
8. Leveraging Google Colab.mp4 85.66Мб
8. Leveraging Google Colab.srt 23.04Кб
8. List of Tuples.mp4 77.99Мб
8. List of Tuples.srt 16.56Кб
8. Managing Spark Metastore Tables.mp4 17.51Мб
8. Managing Spark Metastore Tables.srt 4.63Кб
8. Overview of Analytic Functions.mp4 38.17Мб
8. Overview of Analytic Functions.srt 7.34Кб
8. Overview of modes to write into files.mp4 49.72Мб
8. Overview of modes to write into files.srt 13.11Кб
8. Overview of Public IP Address associated with a server.mp4 38.06Мб
8. Overview of Public IP Address associated with a server.srt 7.43Кб
8. Passing Environment Variables to Docker Container.mp4 68.38Мб
8. Passing Environment Variables to Docker Container.srt 9.94Кб
8. Performing Total Aggregations.mp4 80.10Мб
8. Performing Total Aggregations.srt 20.05Кб
8. Process JSON using Pandas.mp4 58.30Мб
8. Process JSON using Pandas.srt 9.14Кб
8. Quick recap of dict operations.mp4 39.07Мб
8. Quick recap of dict operations.srt 8.09Кб
8. Recap of User Defined Functions.mp4 91.95Мб
8. Recap of User Defined Functions.srt 15.96Кб
8. Setup Database and Tables as part of Docker based Database Server.mp4 37.38Мб
8. Setup Database and Tables as part of Docker based Database Server.srt 6.29Кб
8. Setup Postgres Database for development.mp4 52.40Мб
8. Setup Postgres Database for development.srt 9.38Кб
8. Start and Validate YARN.mp4 14.29Мб
8. Start and Validate YARN.srt 3.09Кб
8. String Replacement.mp4 45.57Мб
8. String Replacement.srt 10.01Кб
8. TCL - Transaction Control Language.mp4 8.55Мб
8. TCL - Transaction Control Language.srt 1.90Кб
8. Updating Existing Table Data.mp4 20.03Мб
8. Updating Existing Table Data.srt 5.97Кб
8. Validate myReduceByKey Function.mp4 60.70Мб
8. Validate myReduceByKey Function.srt 20.12Кб
8. Validate write logic.mp4 60.64Мб
8. Validate write logic.srt 11.49Кб
8. Writing iterables to files using csv.mp4 58.08Мб
8. Writing iterables to files using csv.srt 14.05Кб
8. Writing Pandas Dataframe to table.mp4 67.06Мб
8. Writing Pandas Dataframe to table.srt 12.83Кб
9.1 Aggregating Data.html 141б
9.1 airtrafficdata.zip 29.36Мб
9.1 Analytic Functions – Aggregations.html 165б
9.1 Date Manipulation Functions.html 153б
9.1 Deleting Data from Table.html 162б
9.1 Example - Data Engineering.html 154б
9.1 HDFS Replication Factor.html 143б
9.1 List of dicts.html 153б
9.1 Managing Partitions - Hash.html 161б
9.1 Overview of Postgres Commands.html 153б
9.1 Passing Functions as Arguments.html 154б
9.1 Performing Grouped Aggregations.html 161б
9.1 Performing Total Aggregations.html 167б
9.1 Retrieve Metadata of Tables.html 146б
9.1 Running OS Commands.html 149б
9.1 Typical set operations.html 160б
9.1 Validating users data.html 172б
9. Add Data Copier Container to custom network.mp4 42.45Мб
9. Add Data Copier Container to custom network.srt 6.52Кб
9. Advantages of using csv module.mp4 10.12Мб
9. Advantages of using csv module.srt 2.41Кб
9. Aggregation Data.mp4 81.30Мб
9. Aggregation Data.srt 15.97Кб
9. Analytic Functions - Aggregations.mp4 66.35Мб
9. Analytic Functions - Aggregations.srt 13.26Кб
9. Building Custom Docker Image for application.mp4 34.42Мб
9. Building Custom Docker Image for application.srt 5.30Кб
9. Date Manipulation Functions.mp4 12.15Мб
9. Date Manipulation Functions.srt 2.96Кб
9. Deleting Data From Table.mp4 14.74Мб
9. Deleting Data From Table.srt 4.37Кб
9. Develop myJoin Function.mp4 29.12Мб
9. Develop myJoin Function.srt 10.50Кб
9. Different JSON Formats supported by Pandas.mp4 79.88Мб
9. Different JSON Formats supported by Pandas.srt 11.54Кб
9. Example - Data Engineering.mp4 49.26Мб
9. Example - Data Engineering.srt 8.91Кб
9. Exercises - Predefined Functions in Python.mp4 11.40Мб
9. Exercises - Predefined Functions in Python.srt 3.69Кб
9. HDFS Replication Factor.mp4 57.52Мб
9. HDFS Replication Factor.srt 11.39Кб
9. How to access data sets used in this course.html 812б
9. Installing OS libraries as part of Docker container.mp4 15.34Мб
9. Installing OS libraries as part of Docker container.srt 4.27Кб
9. Install Python Packages using Pycharm.mp4 13.58Мб
9. Install Python Packages using Pycharm.srt 5.16Кб
9. Integrate read and write logic.mp4 36.37Мб
9. Integrate read and write logic.srt 6.42Кб
9. List of dicts.mp4 59.82Мб
9. List of dicts.srt 11.58Кб
9. Managing Partitions - Hash.mp4 46.43Мб
9. Managing Partitions - Hash.srt 9.30Кб
9. Managing Single Node Hadoop.mp4 20.23Мб
9. Managing Single Node Hadoop.srt 6.68Кб
9. Overview of Delimited Strings.mp4 27.13Мб
9. Overview of Delimited Strings.srt 6.90Кб
9. Overview of itertools.mp4 30.78Мб
9. Overview of itertools.srt 7.68Кб
9. Overview of Postgres Database Commands.mp4 62.02Мб
9. Overview of Postgres Database Commands.srt 16.07Кб
9. Passing Functions as Arguments.mp4 35.79Мб
9. Passing Functions as Arguments.srt 9.34Кб
9. Performing Grouped Aggregations.mp4 76.57Мб
9. Performing Grouped Aggregations.srt 17.74Кб
9. Performing Total Aggregations.mp4 96.86Мб
9. Performing Total Aggregations.srt 23.29Кб
9. Recreate and Activate Virtual Environment for Web Application.mp4 6.60Мб
9. Recreate and Activate Virtual Environment for Web Application.srt 3.79Кб
9. Retrieve Metadata of Tables.mp4 15.25Мб
9. Retrieve Metadata of Tables.srt 3.27Кб
9. Running os commands.mp4 75.11Мб
9. Running os commands.srt 15.18Кб
9. Setup Jupyter Lab on Cloud9.mp4 47.58Мб
9. Setup Jupyter Lab on Cloud9.srt 11.07Кб
9. Setup Web Application and access using local ip.mp4 42.18Мб
9. Setup Web Application and access using local ip.srt 7.62Кб
9. Typical set operations.mp4 11.00Мб
9. Typical set operations.srt 2.92Кб
9. Validate Spark 2 using CLIs.mp4 66.22Мб
9. Validate Spark 2 using CLIs.srt 12.52Кб
9. Validating users data.mp4 15.22Мб
9. Validating users data.srt 3.45Кб
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