Raj Cloud/Azure Data Bricks (With Spark) - Batch 02
Azure Data Bricks (With Spark) - Batch 02

Azure Data Bricks (With Spark) - Batch 02

39 lessons0m total

Course content

TRAINING INSTRUCTIONS

1 lesson
  • Important Instructions

Live Session Joining Details

1 lesson
  • Live Session Joining Page

Session 01 to 10

10 lessons
  • S01 Databricks Introduction
  • S02 Why we need Databricks and Spark?
  • S03 How to Get Azure Subscrition? Databricks Community Edition
  • S04 Storage Account & Connection With Databricks
  • S05 Data Source API & Read CSV
  • S06 Creation of SQL Server & Key Vault
  • S07 Connecting SQL Server With Databricks.
  • S08 Delta Table & Delta Lake
  • S09 Databricks Project P1
  • S10 Databricks Project P2

Session 11 to 20

10 lessons
  • S11 Git Integration With Databricks
  • S12 Managed & Unmanaged Table
  • S13 Dbutils
  • S14 Databricks Views
  • S15 Parameterize Notebook Databricks
  • S16 RDD & Spark Architecture
  • S17 Spark Architecture & RDD
  • S18 Subscription Issues | Spark Questions
  • S19 DAG | Transformation & Action | Narrow & Wide
  • S20 Unity Catalog

Session 21 to 30

10 lessons
  • S21 Unity Catalog Implementation
  • S22 Clusters
  • S23 Clusters Size
  • S24 Cache & Persist
  • S25 Spark Functions & UDF
  • S26 In Memory Partition | Repartition & Coalesce
  • S27 Predicate & Projection Pushdown | Physical Partition
  • S28 Predicate & Projection Pushdown | Physical Partition
  • S29 Dynamic Partition Pruning | Z Ordering
  • S30 Liquid Clustering

Session 31 to 40

7 lessons
  • S31 Catalyst Optimizer & Salting
  • S32 Salting | SCD 2
  • S33 Medallion Architecture | Auto Loader | Handling Corrupt Record
  • S34 Discussion
  • S35 Project Implementation
  • S36 Common Transformation | Pyspark to Pandas | Databricks Workflow | BackUp
  • S37 Interview Preparation
₹21,999

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  • 39 on-demand lessons
  • Lifetime access
  • Certificate of completion