Raj Cloud/Azure Data Bricks (With Spark) - Batch 01
Azure Data Bricks (With Spark) - Batch 01

Azure Data Bricks (With Spark) - Batch 01

36 lessons0m total

Course content

TRAINING INSTRUCTIONS

1 lesson
  • Important Instructions

Session 01 to 10

10 lessons
  • S01 Databricks Fundamentals & Project Description
  • S02 Databricks & Mounting
  • S03 Databricks to Storage Account | Read & Write Operation
  • S04 Revision of Databricks Classes
  • S05 Delta Lake & Delta Table
  • S06 Key Vault & Azure SQL Server Creation
  • S07 Databricks Project
  • S08 Git Integration
  • S09 Managed & Unmanaged Tables
  • S10 Managed & Unmanaged Recap

Session 11 to 20

10 lessons
  • S11 Dbutils | Views
  • S12 Passing Parameter using dbutils | Revision and Interview Question
  • S13 Python Collection & RDD
  • S14 Transformation | Actions | Lazy Evaluation | DAG
  • S15 Spark Architecture & Cluster
  • S16 Clusters in Databricks
  • S17 How to decide Cluster Size? | Cache and Persist
  • S18 In Memory Partition, Repartition & Coalesce
  • S19 Predicate Pushdown & Projection Pushdown
  • S20 Pyspark Functions & UDF

Session 21 to 30

10 lessons
  • S21 Unity Catalog & Lakehouse
  • S22 Unity Catalog Implementation
  • S23 Adaptive Query Execution
  • S24 Dynamic Partition Pruning
  • S25 Salting
  • S26 Medallion Architecture
  • S27 Medallion Architecture Implementation | Autoloader
  • S28 SCD Type 2
  • S29 Optimize & Z Ordering
  • S30 Liquid Clustering

Session 31 to 35

5 lessons
  • S31 How to Introduce Yourself
  • S32 Project Implementation & Project Introduction
  • S33
  • S34
  • S35
₹21,999

One-time payment. Lifetime access.

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