Azure Data Bricks (With Spark) - Batch 03
40 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 Different Roles in Cloud & Cloud Data Engineering
- S02 Subscription & Resource Group
- S03 Storage Account
- S04 Why Spark & Databricks is Important?
- S05 Databricks Workspace Overview
- S06 Managed Volume & Reading CSV From Volume
- S07 Python Collection | RDD | Spark Architecture
- S08 Data Source API & Data Frame API
- S09 Why Delta Table? | Delta Lake & Lake House
- S10 Key Vault Integration Databricks
Session 11 to 20
10 lessons- S11 Project Databricks Implementation P1
- S12 Project Databricks Implementation P2
- S13 Managed Table & Unamanged Table
- S14 Managed Table, Unmanaged Table & Views in Databricks
- S15 Dbutils
- S16 Parameterization Of Notebook
- S17 Databricks Git Integration
- S18 Unity Catalog
- S19 Unity Catalog Property
- S20 Unity Catalog | DAG & Narrow & Wide Transformation
Session 21 to 25
10 lessons- S21 Clsuter Sizing
- S22 Cluster Sizing | Cache & Persist P1
- S23 Cache & Persist P2
- S24 Spark Functions & UDF
- S25 Dynamic Partition Pruning
- S26 Predicate & Projection Pushdown | Physical Partition 2
- S27 SCD Type 2 Implementations
- S28 Z Ordering
- S29 Madallian Architecture
- S30 Autoloader
Session 31 to 32
8 lessons- S31 Liquid Clustering
- S32 Handling Complex Json & Complex Data Type
- S33 In Memory Partition | Repartition & Coalesce
- S34 Adaptive Query Execution
- S35 Salting & Data Skewness
- S36 Project Implementation 2
- S37 Project Doubts & Implementation
- S38 Interview Preparation
₹21,999
One-time payment. Lifetime access.
- 40 on-demand lessons
- Lifetime access
- Certificate of completion