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ADF (Azure Data Factory)

Overview of Azure Resources / Services

1. Azure Data Factory
2. Azure Data bricks
3. BLOB Storage, Data Lake Storage Gen1 and Gen2
4. Azure SQL Server, SQL Database
5. Key Vault
6. Azure Synapse
7. Azure CosmosDB
8. Azure Streaming

1. Azure Data Factory

1. What is Azure Data Factory?
2. Azure Data Factory Architecture
3. Azure Data Factory Portal UI
4. Top-level concepts

A. Pipelines
B. Activities
C. Linked services
D. Datasets
E. Triggers
F. Data Flows
G. Integration Runtimes

2. Pipeline

1. What is a Pipeline?
2. Create a new pipeline
3. Organize pipelines into folders
4. Debug pipeline
5. Publish pipeline
6. Parameters / Pipeline Parameters

3. Linked Service

1. What is a Linked Service?
2. Create a Linked Service for –

B. SQL Database
C. SQL Server
D. Data Lake Storage Gen1
E. Azure Data Lake Storage Gen2 etc

3. Parameters / Linked Service Parameterization

4. DataSets

1. What is a Data Set?
2. Create a Data Set for –

A. Avro, Binary, CSV, Excel, JSON, ORC, Parquet, XML in BLOB/ADLS Gen1/ADLS Gen2.

B. Table in SQL Database, SQL Server, Oracle Database etc

3. Parameters / Data Set Parameterization

5. Activities

1. Wait
2. Variables

A. Create a variable
B. Set variable
C. Append variable

3. Copy Data

A. General
B. Source
C. Sink
D. Mapping
E. Settings
F. User Properties

4. Copy file(s) from one BLOB Container to another Container

A. One file from a folder
B. All files from a folder
C. All files and folders recursively from a folder

5. Copy data / file from BLOB to SQL Database / ADLS Gen2

A. As CSV, TSV, Parquet, Avro, ORC etc.

6. Databricks Notebook
7. Azure Function
8. Lookup, Stored Procedure
9. Get Metadata, Delete
10. Execute Pipeline
11. Validation, Fail
12. Iteration & Conditionals

A. Filter
B. ForEach
C. If Condition
D. Switch
E. Until

6. Triggers

1. What is a trigger?
2. Types

A. Schedule
B. Tumbling window
C. Storage Events

3. Triggers with Parameters

7. Integration Runtime (IR)

1. Azure AutoResolveIntegrationRuntime
2. Azure Managed Virtual Network
3. Self-Hosted
4. Linked Self-Hosted

8. Source control

1. Git configuration
2. ARM Template

A. Export / Import

3. Azure Devops Repos

9. Global parameters

10. Credentials

11. Managed private endpoints

12. Monitoring ADF Jobs

13. Alerts

14. Send Failure Notifications using Logic Apps

15. Data Flows

1. What is Data Flow?
2. Mapping Data Flow
3. Data Flow Debug
4. Transformations

A. Filter, Aggregate, Join
B. Conditional Split, Derived Column
C. Exists, Union, Lookup, Sort,
D. GroupBy, Pivot, Unpivot, Flatten etc.
E. Flatten, parase, stringify
F. Filter sort, alterrow,asset
G. flowlet

5. Validate Schema, Schema Drift
6. Remove Duplicate Rows using Mapping Data Flows in Azure Data Factory
7. Slowly Changing Dimension (SCD) Types Using Mapping Data Flow in Azure Data Factory

A. Type 1
B. Type 2

16. ADF Exercises

1. Create variables using set variable activity
2. How to use if condition using if condition activity
3. Iterating files using for loop activity
4. Creating linked services, Data sets
5. Copy activity - blob to blob
6. Copy activity - blob to azure SQL
7. Copy activity - pattern matching files copy
8. Copy activity - copy the filtered file formats
9. Copy activity - copy multiple files from blob to another blob
10. Copy activity - Delete source files after copy activity
11. Copy activity - using parameterized data sets
12. Copy activity - convert one file format to another file format
13. Copy activity - add additional columns to the source columns
14. Copy activity - filter files and copy from one blob to another
15. Delete the files from blob with more than 100KB
16. How to use getmetdata activity
17. Bulk copy tables and files
18. How to integrate keyvault in ADF
19. How to set up integration run time
20. Copy data from on premises to azure cloud
21. How to use databricks activity activity and pass paraemeters to it
22. How to use scheduling trigger
23. How to use tumbling window trigger
24. How to use event based trigger
25. How to use with Activity
26. How to use Until Activity
27. Dataflows - select the rows
28. Dataflows - Filter the rows
29. Dataflows - join Transformations
30. Dataflows - union Transformations
31. Dataflows - look up Transformations
32. Dataflows - window functions transformations
33. Dataflows - pivot, unpivot transformations
34. Dataflows - Alter rows transformations
35. Dataflows - Removing Duplicates transformations
36. Dataflows - SCD Types transformations
37. How to pass parameters to the pipeline
38. How to create alerts and rules
39. How to set global parameters
40. How to import and export ARM templates
41. How to integrate ADF with Devops
42. How to use Azure devops Repos
43. How to use Azure devops boards
44. How to implement pipelines in Azure devops
45. How to send mail notifications using logic apps
46. How to monitor the pipelines
47. How to debug the pipelines
48. How to schedule pipeline using triggers
49. How to create trigger dependency
50. How to add one pipeline in another pipeline

Azure Databricks

1. Introduction to BigData

1. What is Data?
2. What is Database?
3. What is BigData?
4. What are the challenges of BigData?
5. Why Traditional Databases Doesn't handle Bigdata

2. Introduction to Hadoop

1. What is Hadoop?
2. How Hadoop overcome bigdata challenges
3. Hadoop Architecture
4. Hadoop Daemons
7. MapReduce

3. Introduction to Spark

1. Spark Architecture
2. Spark internals
3. Spark RDD
4. Spark DataFrame
5. Spark Streaming

4. Basics of Cloud Computing

1. What is Cloud?
2. Types of Cloud deployment models

A. Private Cloud
B. Public Cloud
C. Hybrid Cloud

3. Types of Cloud Services

A. IaaS – Infrastructure as a Service
B. PaaS – Platform as a Service
C. SaaS – Software as a Service

5. Cloud computing Platforms / Vendors

1. Azure
2. AWS – Amazon Web Services
3. GCP – Google Cloud Platform etc

6. Introduction to Azure

1. Azure Portal Walkthrough

A. What is Subscription?
B. What is a Resource Group?
C. What is a Resource?

2. Overview of Azure Resources / Services

A. Data Factory
B. Azure Data bricks
C. BLOB Storage, Data Lake Storage Gen1 and Gen2
D. Azure SQL Server, SQL Database
E. Key Vault
F. Function App
G. Logic Apps
H. Log Analytics Workspace

7. Introduction to Azure Databricks

1. Azure Databricks Architecture
2. Azure Databricks Main Concepts

8. Creating an Azure Databricks Service

1. Creating a Databricks worspace in Azure Portal
2. Databricks service using the Azure CLI(command-line interface)
3. Databricks service using Azure Resource Manager(ARM) templates
4. Ading users and groups to the workspace
5. Creating a cluster from the user interface(UI)
6. Getting started with notebooks and jobs Azure Databricks

9. Databricks Cluster Management

1. Creating and configuring clusters
2. Managing Clusters

A. Displaying clusters
B. Starting a cluster
C. Terminating a cluster
D. Delete a cluster
E. Cluster Information
F. Cluster logs
G. Cluster access control

3. Types of Clusters

A. All pupose clusters
B. Job cluster

4. Databricks Pools

A. Databricks without pools
B. Databricks with Pools

5. Clusters Mode

A. Standard
B. High Concurrency
C. Single Node

6. Autoscalling
7. Databricks runtime versions
8. Multiuser Clusters

10. Databricks Utilities

1. credentials utility
2. Data utility
3. FilSystem utility
4. Jobs utitlity
5. Library utility
6. Notebook utility
7. secrets utility
8. widgets utility
9. Limitations of utilities

11. Databricks Integration with

1. Blob strorage storage
2. Azure Datalake storage gen2
3. Azure SQL Database
4. Synapse
5. snowflake

12. Databricks- Handle multiple file formats

1. CSV Data
2. JSON Data
3. parquet files
4. Excel files
5. XML files Data
6. ORC file format
7. AVRO files

13. Databricks - Batch Processing

1. Historical Data load
2. Incremental Data load
3. Date Transformations
4. Aggregations
5. Join Operations
6. window functions
7. union operations

14. Databricks – Streaming API

1. What is streaming?
2. Process streaming using Pyspark API
3. Handling bad records
4. Stream data into Gen2lake
5. Load the data into Tables

15. Databricks - Lakehouse (Delta Lake)

1. Difference between Data lake and Delta Lake
2. Introduction to Deltalake
3. Features of DeltaLake
4. How to create delta table
5. How to DML operations in Delta Table
6. Merge statements
7. Handling SCD Type1 and Type2
8. Handling Data Deduplication in delta tables
9. Handling streaming Data in Delta lake

16. Workflows in Databricks

1. Introduction to workflows
2. Create,run and manage Databricks jobs
3. Schedule Databricks jobs
4. Monitor Databricks Jobs

Azure Synapse

1. Introduction & Overview

1. Azure Synapse Analytics Overview
2. Anzure Synapse Analytics Architecture
3. Create Azure Free Account for Synapse

2. Overview of pools in Synapse Analytics

1. Dedicated SQL pools
2. Serverless SQL pool
3. Apache Spark pools
4. Data Explorer pools

3. Using Azure Synapse Analytics to Query Data Lake

1. Creating Azure Synapse Analytics Workspace
2. Uploading Sample Data into Data Lake Storage
3. Exploring Azure Synapse Workspace and Studio
4. Querying a Data Lake Store using serverless SQL pools in Azure Synapse Analytics
5. Creating a View for CSV Data with a Serverless SQL Pool

4. Azure Storage Account Integration with Azure Synapse

1. Copy multiple files from blob to blob using wildcard file options
2. Copy multuple folders from blob to blob using dataset parameters
3. Get File Names from Folder Dynamically and copy latest file from folder

5. Azure Synapse Triggers

1. Schedule Trigger in Azure Synapse
2. Event Based Trigger in Azure Synapse

6. Azure SQL Database integration with Azure Synapse

1. Azure SQL Databases - Introduction Relational databases in Azure
2. Copy data from SQL Database to ADLS Gen2 using table, query and stored procedure
3. Overwrite and Append Modes in Copy Activity in Azure Synapse
4. Use Foreach loop activity to copy multiple Tables- Step by Step Explanation

7. Incremental Load to Azure Synapse in Azure Synapse

1. Incremental Load or Delta load from SQL to blob Storage in Azure Synapse
2. Multi Table Incremental Load or Delta load from SQL to to Azure Synapse
3. Incrementally copy new and changed files based on Last Modified Date

8. Logging and Notification and keyvault integration Azure Logic Apps

1. Log Pipeline Executions to SQL Table using Azure Synapse
2. Custom Email Notifications and keyvault integration with Linked Service
3. Send Error notification with logic app
4. Use Foreach loop activity to copy multiple Tables with pipeline logs logic and notifications

9. Deep dive into Copy Activity in Azure Synapse

1. Load data from on premise sql server to Azure Synapse
2. Copy Data from sql server to to Azure Synapse with polybase & Bulk Insert
3. Copy Data from on-premise File System to Azure Synapse
4. Loop through REST API copy data 2 ADLS Gen2 Linked Service Parameters

10. Data Flows Introduction

1. Azure Data Flows Introduction
2. Setup Integration Runtime for Data Flows
3. Basics of SQL Joins for Azure Data FlowsServerless SQL Pool Demo
4. Joins in Azure DataFlowsDedicated SQL Pool Demo
5. Difference Between Join vs.Lookup Transformation& Merge Functionality Spark Pool Demo
6. Dataflows – select the rows
7. Dataflows – Filter the rows
8. Dataflows – join Transformations
9. Dataflows – union Transformations
10. Dataflows – look up Transformations
11. Dataflows – window functions transformations
12. Dataflows – pivot, unpivot transformations
13. Dataflows – Alter rows transformations
14. Dataflows – Removing Duplicates transformations
15. Dataflows – SCD Types transformations

11. Spark Pool Introduction in Azure Synapse

1. Spark Introduction and components
2. Spark Architecture
3. Create notbook and notebook option and create notebook in different langauges
4. MSSparkUtils for file system
5. MSSparkUtils for for creating notebook parameters
6. Magic commands and calling one synapse notebook from another and returning output of synapse notebook
7. Configure keyvault in azure synapse notebook
8. Different ways to connect to ADLSGen2 from synapse notebook
9. Different ways to connect to Blob from synapse notebook
10. Different ways to connect to Azure SQL Database from synapse notebook
11. Different ways to connect to on premise SQL Server from synapse notebook
12. Optimization while Reading and writing CSV files from Azure Synapse
13. Reading and writing parquet files from Azure Synapse
14. Reading and writing JSON files from Azure Synapse
15. Reading and writing avro and orc files from Azure Synapse
16. Reading and writing EXCEL files from Azure Synapse
17. Different ways to create RDD in synapse notebook
18. Different ways to create dataframes in synapse notebook
19. When to use repartition and coalesce
20. Joins in Synapse Notebook
21. Broadcast Joins in Synapse Notebook and configuration of spark for optimization
22. what is catalyst optimiser and skewness issue in spark
23. Optimization techniques in pyspark
24. Implementing SCD1 in Synapse Notebook
25. Implementing SCD2 in Synapse Notebook
26. Executing synapse notebooks from synapse