Udemy - Mastering Databricks and Apache spark -Build ETL data pipeline

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[ DevCourseWeb.com ] Udemy - Mastering Databricks and Apache spark -Build ETL data pipeline
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Getting Started with Databricks
    • 001 Introduction.mp4 (2.3 MB)
    • 001 Introduction_en.srt (0.4 KB)
    • 002 What is Databricks.mp4 (8.1 MB)
    • 002 What is Databricks_en.srt (1.5 KB)
    • 003 Project.mp4 (11.4 MB)
    • 003 Project_en.srt (2.0 KB)
    • 004 Create Azure Account.mp4 (17.2 MB)
    • 004 Create Azure Account_en.srt (1.1 KB)
    • 005 Setting up databricks environment.mp4 (19.0 MB)
    • 005 Setting up databricks environment_en.srt (1.3 KB)
    • 006 Importing Notebooks.mp4 (8.3 MB)
    • 006 Importing Notebooks_en.srt (0.9 KB)
    • 006 Instruction-to-import-DBC-files.pdf (611.9 KB)
    • 007 Understanding Distributed Processing.mp4 (4.0 MB)
    • 007 Understanding Distributed Processing_en.srt (0.6 KB)
    • 008 How to create cluster.mp4 (18.9 MB)
    • 008 How to create cluster_en.srt (2.2 KB)
    • 009 Notebook.mp4 (26.9 MB)
    • 009 Notebook_en.srt (2.7 KB)
    • 010 Why Databricks.mp4 (7.2 MB)
    • 010 Why Databricks_en.srt (1.0 KB)
    • 011 Create table or dataframe by uploading data.mp4 (13.1 MB)
    • 011 Create table or dataframe by uploading data_en.srt (1.1 KB)
      • Material data
      • Department.csv (0.2 KB)
      • EMPJSON.json (134.3 KB)
      • EMPXML.xml (200.5 KB)
      • Employee.csv (82.3 KB)
      • Employee_data.csv (60.7 KB)
        • Project Data
        • SourceA_01012021.csv (41.1 KB)
        • SourceA_01112020.csv (40.6 KB)
        • SourceA_01122020.csv (40.6 KB)
        • SourceB_01012021.json (133.8 KB)
        • SourceB_01112020.json (133.9 KB)
        • SourceB_01122020.json (133.8 KB)
        • SourceC_01012021.xml (201.2 KB)
        • SourceC_01112020.xml (201.0 KB)
        • SourceC_01122020.xml (201.2 KB)
      • SampleEmployee.csv (0.5 KB)
      • Sample_data.csv (1.0 KB)
      • Sample_data4jOIN.csv (1.0 KB)
      • Start_date.csv (70.6 KB)
      • upsert_data.csv (1.5 KB)
        • [email protected] (1.5 MB)
          • 02 - Extraction of Data
          • 001 Understanding ETL.mp4 (12.8 MB)
          • 001 Understanding ETL_en.srt (1.9 KB)
          • 002 Extraction of data from Azure account.mp4 (55.2 MB)
          • 002 Extraction of data from Azure account_en.srt (3.1 KB)
          • 002 Instruction-to-import-DBC-files.pdf (611.9 KB)
          • 002 Mount-python.ipynb (2.4 KB)
          • 003 Adding Schema to data files.mp4 (94.3 MB)
          • 003 Adding Schema to data files_en.srt (2.8 KB)
          • 004 Unmanaged tables.mp4 (70.3 MB)
          • 004 Unmanaged tables_en.srt (2.4 KB)
          • 005 Managed tables.mp4 (28.4 MB)
          • 005 Managed tables_en.srt (2.4 KB)
          03 - Transformation of Data
          • 001 Window Functions.mp4 (7.6 MB)
          • 001 Window Functions_en.srt (1.8 KB)
          • 002 Scala - Filtering Dataframe.mp4 (119.1 MB)
          • 002 Scala - Filtering Dataframe_en.srt (4.2 KB)
          • 003 Scala - Common Operations.mp4 (134.2 MB)
          • 003 Scala - Common Operations_en.srt (4.3 KB)
          • 004 Scala - Aggregation commands.mp4 (65.8 MB)
          • 004 Scala - Aggregation commands_en.srt (2.6 KB)
          • 005 Scala - Rank, Row Number, Dense Rank.mp4 (128.0 MB)
          • 005 Scala - Rank, Row Number, Dense Rank_en.srt (6.2 KB)
          • 006 Python - Filtering Dataframe.mp4 (110.9 MB)
          • 006 Python - Filtering Dataframe_en.srt (4.2 KB)
          • 007 Python - Common Operations.mp4 (85.9 MB)
          • 007 Python - Common Operations_en.srt (2.7 KB)
          • 008 Python - Aggregation commands.mp4 (62.3 MB)
          • 008 Python - Aggregation commands_en.srt (2.4 KB)
          • 009 Python - Rank, Row Number, Dense Rank.mp4 (116.8 MB)
          • 009 Python - Rank, Row Number, Dense Rank_en.srt (5.1 KB)
          • 010 Spark SQL - Common Operations.mp4 (77.9 MB)
          • 010 Spark SQL - Common Operations_en.srt (4.0 KB)
          • 011 Spark SQL - Aggregation Commands.mp4 (50.2 MB)
          • 011 Spark SQL - Aggregation Commands_en.srt (3.3 KB)
          • 012 Spark SQL - Rank, Row Number, Dense Rank.mp4 (93.0 MB)
          • 012 Spark SQL - Rank, Row Number, Dense Rank_en.srt (4.9 KB)
          • 013 Spark SQL - Global View.mp4 (38.9 MB)
          • 013 Spark SQL - Global View_en.srt (2.2 KB)
          • 014 Spark SQL - Temp View.mp4 (31.7 MB)
          • 014 Spark SQL - Temp View_en.srt (1.8 KB)
          • 015 Joins.mp4 (7.2 MB)
          • 015 Joins_en.srt (2.4 KB)
          • 016 Scala - Joins.mp4 (80.7 MB)
          • 016 Scala - Joins_en.srt (4.5 KB)
          • 017 Python - Joins.mp4 (66.9 MB)
          • 017 Python - Joins_en.srt (3.2 KB)
          • 018 Spark SQL - Joins.mp4 (33.3 MB)
          • 018 Spark SQL - Joins_en.srt (1.7 KB)
          04 - Processing XML, JSON, Delta tables
          • 001 Processing Nested XML file.mp4 (75.6 MB)
          • 001 Processing Nested XML file_en.srt (4.4 KB)
          • 002 Processing Nested JSON file.mp4 (50.4 MB)
          • 002 Processing Nested JSON file_en.srt (2.8 KB)
          • 003 Delta Table - Time Travel and Vacuum.mp4 (183.0 MB)
          • 003 Delta Table - Time Travel and Vacuum_en.srt (12.5 KB)
          05 - Loading data and building ETL data pipeline with dashboard
          • 001 FinalProject.mp4 (4.6 MB)
          • 001 Project Description.mp4 (11.4 MB)
          • 001 Project Description_en.srt (2.0 KB)
          • 002 Spinning up Azure SQL.mp4 (34.1 MB)
          • 002 Spinning up Azure SQL_en.srt (2.8 KB)
          • 003 Key Vault.mp4 (24.8 MB)
          • 003 Key Vault_en.srt (1.7 KB)
          • 004 Secret Scopes.mp4 (18.2 MB)
          • 004 Secret Scopes_en.srt (2.0 KB)
          • 005 Project building and mounting of containers.mp4 (30.1 MB)

Description

Mastering Databricks & Apache spark -Build ETL data pipeline



https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 47 lectures (4h 23m) | Size: 2.18 GB

Learn fundamental concept about databricks and process big data by building your first data pipeline on Azure

What you'll learn
Databricks
Build your first data pipeline to process CSV, JSON, XML
Orchestrate data pipeline on Azure data factory
Spin up spark cluster
Delta tables
Concept of time travel and vacuum on delta tables
Apache Spark SQL
Filtering Dataframe
Renaming, drop, Select, Cast
Aggregation operations SUM, AVERAGE, MAX, MIN
Rank, Row Number, Dense Rank
Building dashboards
Build Complete project
Build End to End data pipeline

Requirements
There are no pre requisites with this course



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Udemy - Mastering Databricks and Apache spark -Build ETL data pipeline

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Download torrent
2.4 GB
seeders:3
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Udemy - Mastering Databricks and Apache spark -Build ETL data pipeline

Torrent hash: C09D704400BB64D03F3364C0C106D19E243C7433