Udemy - Databricks Essentials for Spark Developers (Azure and AWS)

seeders: 3
leechers: 2
updated:

Download Fast Safe Anonymous
movies, software, shows...

Files

[ DevCourseWeb.com ] Udemy - Databricks Essentials for Spark Developers (Azure and AWS)
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 - Getting Started with Databricks
    • 001 Introduction to the course.mp4 (57.6 MB)
    • 001 Introduction to the course_en.vtt (7.9 KB)
    • 002 Signing up for Databricks Community Edition.mp4 (51.0 MB)
    • 002 Signing up for Databricks Community Edition_en.vtt (9.7 KB)
    • 003 Create Azure Databricks Service.mp4 (32.4 MB)
    • 003 Create Azure Databricks Service_en.vtt (8.8 KB)
    • 004 Signup For Databricks Full Trial on AWS.mp4 (69.9 MB)
    • 004 Signup For Databricks Full Trial on AWS_en.vtt (11.3 KB)
    • 005 Overview of Databricks UI.mp4 (4.4 MB)
    • 005 Overview of Databricks UI_en.vtt (2.7 KB)
    • 006 Upload Files into Databricks.mp4 (26.7 MB)
    • 006 Upload Files into Databricks_en.vtt (11.2 KB)
    • 007 Create Cluster in Databricks Platform.mp4 (9.6 MB)
    • 007 Create Cluster in Databricks Platform_en.vtt (5.3 KB)
    • 008 Managing File System using Notebooks.mp4 (29.1 MB)
    • 008 Managing File System using Notebooks_en.vtt (8.3 KB)
    • external-assets-links.txt (0.3 KB)
    02 - Databricks Notebook using Scala with Spark
    • 001 Define Problem Statement.mp4 (26.1 MB)
    • 001 Define Problem Statement_en.vtt (7.3 KB)
    • 002 Create Notebook and read orders using Scala.mp4 (44.4 MB)
    • 002 Create Notebook and read orders using Scala_en.vtt (9.3 KB)
    • 003 Read order_items and products into DataFrames using Scala.mp4 (30.6 MB)
    • 003 Read order_items and products into DataFrames using Scala_en.vtt (4.4 KB)
    • 004 Visualize Data using Display in Scala.mp4 (32.5 MB)
    • 004 Visualize Data using Display in Scala_en.vtt (7.5 KB)
    • 005 Get complete or closed orders using Scala.mp4 (13.2 MB)
    • 005 Get complete or closed orders using Scala_en.vtt (4.4 KB)
    • 006 Join and select data using Scala.mp4 (27.1 MB)
    • 006 Join and select data using Scala_en.vtt (6.0 KB)
    • 007 Get Daily Product Revenue using Scala.mp4 (13.0 MB)
    • 007 Get Daily Product Revenue using Scala_en.vtt (2.2 KB)
    • 008 Get Daily Product Revenue Sorted using Scala.mp4 (10.0 MB)
    • 008 Get Daily Product Revenue Sorted using Scala_en.vtt (3.6 KB)
    • 009 Save output to CSV Files using Scala.mp4 (45.9 MB)
    • 009 Save output to CSV Files using Scala_en.vtt (7.5 KB)
    • 010 Exercise - Get the monthly revenue for each Customer using Scala.mp4 (27.4 MB)
    • 010 Exercise - Get the monthly revenue for each Customer using Scala_en.vtt (3.3 KB)
    • external-assets-links.txt (1.0 KB)
    03 - Databricks Notebook using Python (pyspark)
    • 001 Define Problem Statement.mp4 (21.7 MB)
    • 001 Define Problem Statement_en.vtt (7.3 KB)
    • 002 Create Notebook and read orders using Python.mp4 (26.1 MB)
    • 002 Create Notebook and read orders using Python_en.vtt (8.7 KB)
    • 003 Read order_items and products into DataFrames using Python.mp4 (22.4 MB)
    • 003 Read order_items and products into DataFrames using Python_en.vtt (6.8 KB)
    • 004 Visualize Data using Display in Python.mp4 (31.6 MB)
    • 004 Visualize Data using Display in Python_en.vtt (8.1 KB)
    • 005 Get complete or closed orders using Python.mp4 (8.9 MB)
    • 005 Get complete or closed orders using Python_en.vtt (4.0 KB)
    • 006 Join and select data using Python.mp4 (31.3 MB)
    • 006 Join and select data using Python_en.vtt (6.7 KB)
    • 007 Get Daily Product Revenue using Python.mp4 (15.5 MB)
    • 007 Get Daily Product Revenue using Python_en.vtt (3.4 KB)
    • 008 Get Daily Product Revenue Sorted using Python.mp4 (8.4 MB)
    • 008 Get Daily Product Revenue Sorted using Python_en.vtt (3.3 KB)
    • 009 Save output to CSV Files using Python.mp4 (56.4 MB)
    • 009 Save output to CSV Files using Python_en.vtt (8.6 KB)
    • 010 Exercise - Get the monthly revenue for each Customer using Python.mp4 (28.6 MB)
    • 010 Exercise - Get the monthly revenue for each Customer using Python_en.vtt (3.5 KB)
    • external-assets-links.txt (1.0 KB)
    04 - Databricks Notebook using Spark SQL
    • 001 Create Notebook and read orders using Spark SQL.mp4 (21.9 MB)
    • 001 Create Notebook and read orders using Spark SQL_en.vtt (6.0 KB)
    • 002 Read order_items and products using Spark SQL.mp4 (22.2 MB)
    • 002 Read order_items and products using Spark SQL_en.vtt (3.6 KB)
    • 003 Visualize SQL results.mp4 (16.9 MB)
    • 003 Visualize SQL results_en.vtt (4.2 KB)
    • 004 Join and Select data using Spark SQL.mp4 (13.1 MB)
    • 004 Join and Select data using Spark SQL_en.vtt (4.4 KB)
    • 005 Get Daily Product Revenue Sorted using Spark SQL.mp4 (8.3 MB)
    • 005 Get Daily Product Revenue Sorted using Spark SQL_en.vtt (2.3 KB)
    • 006 Save output to a table using Spark SQL.mp4 (29.4 MB)
    • 006 Save output to a table using Spark SQL_en.vtt (5.6 KB)
    • 007 Exercise - Get the monthly revenue for each Customer using Spark SQL.mp4 (27.1 MB)
    • 007 Exercise - Get the monthly revenue for each Customer using Spark SQL_en.vtt (3.3 KB)
    • external-assets-links.txt (0.7 KB)
    05 - Databricks Jobs and Clusters
    • 001 Introduction to Jobs and Cluster.mp4 (9.4 MB)
    • 001 Introduction to Jobs and Cluster_en.vtt (4.1 KB)
    • 002 Create Cluster on Azure Databricks.mp4 (24.1 MB)
    • 002 Create Cluster on Azure Databricks_en.vtt (8.3 KB)
    • 003 Request to increase CPU Quota on Azure.mp4 (10.9 MB)
    • 003 Request to increase CPU Quota on Azure_en.vtt (3.7 KB)
    • 004 Creating Job on Databricks using Notebook.mp4 (63.2 MB)
    • 004 Creating Job on Databricks using Notebook_en.vtt (11.8 KB)
    • 005 Submitting Jobs using Job Cluster.mp4 (20.9 MB)
    • 005 Submitting Jobs using Job Cluster_en.vtt (8.0 KB)
    • 006 Create Pool in Databricks.mp4 (6.7 MB)
    • 006 Create Pool in Databricks_en.vtt (3.9 KB)
    • 007 Running Job using Interactive Cluster attached to Pool.mp4 (13.6 MB)
    • 007 Running Job using Interactive Cluster attached to Pool_en.vtt (4.6 KB)
    • 008 Running Job using Job Cluster attached to Pool.mp4 (12.2 MB)
    • 008 Running Job using Job Cluster attached to Pool_en.vtt (4.8 KB)
    • Description

      Databricks Essentials for Spark Developers (Azure and AWS)



      https://DevCourseWeb.com

      MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
      Language: English | Size: 1.35 GB | Duration: 3h 49m

      Learn about Databricks Features

      What you'll learn
      Using Community Edition of Databricks to explore the platform
      Signing up for Full Trial using Azure Databricks
      Signing up for Full Trial using Databricks on AWS
      Develop and Deploy Notebooks using Scala, Python as well as SQL using Databricks Platform
      Understand the difference between interactive and job clusters
      Formal Development and Deployment Life Cycle
      Run jobs by attaching application as jar along with libraries
      Overview of Cluster Pools
      Installing and using databricks-cli

      Requirements
      Laptop with decent configuration
      Knowledge of Apache Spark is highly desired
      Description
      Are you an experienced Spark Developer and want to understand about Databricks platform?



Download torrent
1.4 GB
seeders:3
leechers:2
Udemy - Databricks Essentials for Spark Developers (Azure and AWS)


Trackers

tracker name
udp://tracker.torrent.eu.org:451/announce
udp://tracker.tiny-vps.com:6969/announce
http://tracker.foreverpirates.co:80/announce
udp://tracker.cyberia.is:6969/announce
udp://exodus.desync.com:6969/announce
udp://explodie.org:6969/announce
udp://tracker.opentrackr.org:1337/announce
udp://9.rarbg.to:2780/announce
udp://tracker.internetwarriors.net:1337/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://open.stealth.si:80/announce
udp://9.rarbg.to:2900/announce
udp://9.rarbg.me:2720/announce
udp://opentor.org:2710/announce
µTorrent compatible trackers list

Download torrent
1.4 GB
seeders:3
leechers:2
Udemy - Databricks Essentials for Spark Developers (Azure and AWS)


Torrent hash: 726FD26849F98F13960E80B61820CD0704104514