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Agenda as part of Azure Data Engineering Course:
Topics Covered:
 Azure Data Lake Storage
 Azure Data Factory
 Azure Functions
 Azure Logic Apps
 Azure Data Bricks
 Delta Tables
 Azure SQL Database/Warehouse
1. Azure Data Lake
Architecture
Resource Group
Azure Data lake Account
Exploring Data Lake
Diff between the versions over Gen2
Benefits of Azure Data Lake
Practice Session
2. Azure Data Factory
Architecture
Pipelines
Linked Service
Input Dataset
Output Dataset
Activities in the Pipelines
Control Flow Activities
Integrating Logic Apps with ADF Pipelines
Web API’S
Data Flows
Practice Session
3. Azure Data bricks
Architecture
Integration with Spark
How to create Cluster in Cloud
Create & Execute Jobs, Commands
How to create Cluster, workspace & Notebooks
Integrate Data bricks with ADF Pipelines.
Delta Tables
Practice Session
4. Scala
OOPS
Object & Class
Case Class
Singleton & Companion Objects
Collections – List , Tuples , Set , Map
Loops
Functions
Exception Handling
String Functions
Arrays
Practice Session
5. Apache Spark
Architecture
Features
Spark Context & Spark Sessions
Spark Core
Spark SQL
Spark SQL Joins
RDD
Data Frames & Datasets
Transformations & Actions
Case When with Dataframes
Storage Layers
Accumulators
Pair Functions
Repartition & Coalesce
Shuffle Partitions
Pivots & Flatten
String Functions
Drop Rows with Null Values
Single to Multiple Columns
Array, Nested Array to Single Array.
Map & Sort Functions
Aggregate Functions
Window Functions
Practice Session- Hands On
6. Azure SQL Server
Architecture
Basics of SQL
SQL Data Warehouse
Types of Indexes
Window Functions
Practice Session – Hands On

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Azure Data Factory Training in Hyderabad

  • 1. Agenda as part of Azure Data Engineering Course: Topics Covered:  Azure Data Lake Storage  Azure Data Factory  Azure Functions  Azure Logic Apps  Azure Data Bricks  Delta Tables  Azure SQL Database/Warehouse 1. Azure Data Lake Architecture Resource Group Azure Data lake Account Exploring Data Lake Diff between the versions over Gen2 Benefits of Azure Data Lake Practice Session 2. Azure Data Factory Architecture Pipelines Linked Service Input Dataset Output Dataset Activities in the Pipelines Control Flow Activities Integrating Logic Apps with ADF Pipelines
  • 2. Web API’S Data Flows Practice Session 3. Azure Data bricks Architecture Integration with Spark How to create Cluster in Cloud Create & Execute Jobs, Commands How to create Cluster, workspace & Notebooks Integrate Data bricks with ADF Pipelines. Delta Tables Practice Session 4. Scala OOPS Object & Class Case Class Singleton & Companion Objects Collections – List , Tuples , Set , Map Loops Functions Exception Handling String Functions Arrays Practice Session
  • 3. 5. Apache Spark Architecture Features Spark Context & Spark Sessions Spark Core Spark SQL Spark SQL Joins RDD Data Frames & Datasets Transformations & Actions Case When with Dataframes Storage Layers Accumulators Pair Functions Repartition & Coalesce Shuffle Partitions Pivots & Flatten String Functions Drop Rows with Null Values Single to Multiple Columns Array, Nested Array to Single Array. Map & Sort Functions Aggregate Functions Window Functions Practice Session- Hands On 6. Azure SQL Server Architecture Basics of SQL
  • 4. SQL Data Warehouse Types of Indexes Window Functions Practice Session – Hands On