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MS Azure Data Factory

Teacher
Mr. Sumanth
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Overview
Instructor

Course Summary

Online and Classroom Training for Microsoft Azure Data Factory (ADF), a cutting-edge cloud-based data integration service. Our expert-led courses empower you to seamlessly create, schedule, and orchestrate data workflows, facilitating the ingestion, transformation, and loading of data from diverse sources into destinations like databases, data lakes, and analytical systems. With laaksh IT, you'll gain proficiency in building and managing scalable data pipelines tailored for analytics, reporting, and other data-driven tasks."

Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best.

Course Objectives

Learn how to create and manage data pipelines using Azure Data Factory.
Understand various data integration patterns and best practices for building scalable and reliable data workflows.
Gain proficiency in connecting to different data sources, performing data transformations, and loading data into target destinations.
Explore monitoring, debugging, and optimizing data pipelines for performance and cost efficiency.
Learn how to integrate Azure Data Factory with other Azure services to build end-to-end data solutions.

Requirements

To effectively learn Azure Data Factory, it's recommended to have a basic understanding of:

Cloud computing concepts and Azure fundamentals.
Data storage and processing technologies.
SQL and data querying languages.
ETL (Extract, Transform, Load) concepts and data integration patterns.

Mr. Sumanth

Teacher

Azure Data Factory enables organizations to efficiently move data across on-premises and cloud environments, transforming raw data into meaningful insights for decision-making. It supports a wide range of data integration scenarios, including batch processing, real-time data ingestion, and hybrid data movement. ADF leverages Azure's scalable infrastructure and integrates seamlessly with other Azure services like Azure Synapse Analytics, Azure Databricks, and Azure SQL Database.