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Azure Data Factory Online Training

About The Course

Azure data engineers are responsible for data-related tasks that include provisioning data storage services, batch data and ingesting streaming, implementing security requirements, transforming data, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources. In the world of big data, raw, unorganized data is often stored in relational, non-relational, and other storage systems. However, on its own, raw data doesn't have the proper context or meaning to provide meaningful insights to analysts, data scientists, or business decision makers.

Best ADF Training in Hyderabd is the platform that solves such data scenarios. It is the cloud-based ETL and data integration service that allows you to create data-driven workflows for orchestrating data movement and transforming data at scale. Using Azure Data Factory, you can create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores. You can build complex ETL processes that transform data visually with data flows or by using compute services such as Azure HDInsight Hadoop, Azure Databricks, and Azure SQL Database.


Course Features :

40 Hrs Instructer Led Training
Job Assistance
30 Hrs Self-paced Videos
Lifetime Video Access
Flexible Schedule
Mentor Support

Upcoming Live Online Classes :

Azure Data Factory


10-11-2023:Friday

9:00AM-IST


By A.R Venkat M.Tech(IISC)





Instructer Led Training


Live demonstration of the industry-ready skills.

Schedule your sessions at your comfortable timings.

Virtual instructor-led training (VILT) classes.

Real-time projects and certification guidance.

Self-Paced Learning Videos


90 hours of ADF Training videos

Curated and delivered by industry experts

Latest version curriculum with covered

Get lifetime access to the LMS

Learn technology at your own pace

24x7 learner assistance

Certification guidance provided

Azure Data Factory Cource Curriculum :


Session1:
Azure Cloud Storage Technologies

Session2:
Azure Data Factory Introduction

Session3:
ADF_PracticeSession3_Copy Data Activity_Azure Blob Storage_ADLS Gen2

Session4:
ADF_PracticeSession4_Copy Data from ADLS Gen2 to Azure SQL Database

Session5:
ADF_PracticeSession5_Copy Data from Multiple Files to Multiple Tables using Dataset Parameters

Session6:
ADF_PracticeSession6_Bulk Data Ingestion of Tables using Custom SQL Queries

Session7:
ADF_PracticeSession7_GetMetaData Activity_Introduction

Session8:
ADF_PracticeSession8_Bulk Data Ingestion of Multiple CSV Files To Multiple Tables

Session9:
ADF_PracticeSession9_Bulk Data Ingestion of Multiple CSV Files To Multiple Tables Using Configuration File

Session10:
ADF_PracticeSession10_Bulk Data Ingestion of Multiple Tables Using Configuration File

Session11:
ADF_PracticeSession11_Copy Data from Nested JSON Document to Azure SQL Database

Session12:
ADF_PracticeSession12_Reading Data from Single Excel Worksheet

Session13:
ADF_PracticeSession13_Reading Data from Multiple Excel Worksheet Using Pipeline Parameter

Session14:
ADF_PracticeSession14_Reading Data from Multiple Excel Sheets using Lookup Activity_Configuration File

Session15:
ADF_PracticeSession15_Azure Key Vault Integration with ADF

Session16:
ADF_PracticeSession16_Audit Log Implementation

Session17:
ADF_PracticeSession17_Success Audit Log_Failure_Errors_Audit Log

Session18:
ADF_PracticeSession18_Logic Apps_Email Notifications

Session19:
ADF_PracticeSession19_Data Ingestion from On-premise File System To ADLS Gen2_Self Hosted IR

Session20:
ADF_PracticeSession20_Copy Ingestion from On-premise SQL Server To ADLS Gen2_Self Hosted IR

Session21:
ADF_PracticeSession21_Implementation of Delta Load Using WaterMark

Session22:
ADF_PracticeSession22_Incrementallly Copy New Files_LastmodifiedDate

Session23:
ADF_PracticeSession23_Reading Data from XML File to Azure SQL Database

Session24:
ADF_PracticeSession24_DataFlows_Introduction

Session25:
ADF_PracticeSession25_Dataflows_Filter Transformation

Session26:
ADF_PracticeSession26_Dataflows_Filter_Conditional Split_Select_Derived Column Transformations

Session27:
ADF_PracticeSession27_Dataflows_Aggregator_Transformation

Session28:
ADF_PracticeSession28_Dataflows_Flatten_Transformation

Session29:
ADF_PracticeSession29_Dataflows_Pivot_Transformation

Session30:
ADF_PracticeSession30_RESTFul WebService Integration_Introduction

Session31:
ADF_PracticeSession31_Storage Event Trigger

Session32:
ADF_PracticeSession32_Schedule Trigger

Session33:
ADF_PracticeSession33_Tumblng Window Trigger

Session34:
PracticeSession34_Databricks Notebook_Integration with Azure Data Factory

Session35:
ADF_PracticeSession35_SCD Type1 Dimension_Implementation

Session36:
ADF_PracticeSession36_SCD Type2 Dimension_Implementation

Session37:
ADF_PracticeSession37_Execute Copy Activity based on File Count in the Container

Session38:
ADF_PracticeSession38_FilteringFileFormats_Getmetadata_Filter_ForEach_Copy_Activity

Self-paced Video Learning Assignments :


Assignment1:
ADF_Assignment1_Add New Columns While Copying Data

Assignment2:
ADF_Assignment2_Add New Columns While Copying Data_SetVariable Activity

Assignment3:
ADF_Assignment3_Copy Data Activity_Prefix_Wildcard_FilePath_Azure Blob_To_ADLS Gen2

Assignment4:
ADF_Assignment4_CopyData Activity_Executepipeline Activity_ADLS Gen2_SQLDB

Assignment5:
ADF_Assignment5_FilterFileFormats based on File Size and Delete Files from Source Storage

Assignment6:
ADF_Assignment6_Insert Metadata_Get Metadata_Stored Procedure Activity

Assignment7:
ADF_Assignment7_Insert Metadata_About CSV Files in Azure Storage_Get Metadata_Stored Procedure Activity

Assignment8:
ADF_Assignment8_Data Ingestion_Copy Data Tool

Assignment9:
ADF_Assignment9_CopyData Activity_Linked Service_Dataset_Pipeline Parameters_Copy Multiple Files_To_Tables

Assignment10:
ADF_Assignment10_Copy Data Activity_Copy Behaviour

Assignment11:
ADF_Assignment11_CopyData Activity_Copy Files From Azure Blob Storage To ADLS Gen1

Assignment12:
ADF_Assignment12_Snowflake_Integration

Assignment13:
ADF_Assignment13_Snowflake_To_ADLS_Gen2_StagedCopy

Assignment14:
ADF_Assignment14_ADLS_Gen2_To_Snowflake_StagedCopy

Assignment15:
ADF_Assignment15_ADF_AWS_S3_Bucket_Integration

Assignment16:
ADF_Assignment16_GCP_To_ADLS_Gen2_Integration

Assignment17:
ADF_Assignment17_Dataflows_Rank Transformation

Assignment18:
ADF_Assignment18_Dataflows _Parse Transformation

Assignment19:
ADF_Assignment19_Dataflows _Windows Transformation

Assignment20:
ADF_Assignment20_Dataflows _Stringfy Transformation

Assignment21:
ADF_Assignment21_Dataflows_SurrogateKey_Transformation

Assignment22:
ADF_Assignment22_Traditional DWH vs Modern DWH

Assignment23:
ADF_Assignment23_Row Format Storage Internals

Assignment24:
ADF_Assignment24_Columnar Storage Internals

Assignment25:
ADF_Assignment25_Differences Between Debug VS Tigger Now


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