Microsoft Azure Data Engineer Certification Training in Hyderabad Call@ 79937-62900

Azure Data Engineer Certification,Azure Data lake and Azure Data Factory Analytics Online Training institute Course in Hyderabad, Ameerpet, USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India, Sri Lanka, Bangladesh, Oman, Bahrain, Kuwait, Vietnam, Myanmar, Singapore, Indonesia, Afrika and other parts of the world.

Azure Infrastructure, Azure, Azure SQL,Azure Data Factory, Azure Architect, Azure Data bricks Get 100% Placement Support & Certification guidance. Real Time Azure Trainers in Hyderabad Get Placed in MNC's with high Quality Training in New York, New jersey, Dallas, Seattle, Baltimore, Houston, Minneapolis, Los Angeles, San Francisco, San Jose, San Diego, Washington DC, Chicago, Philadelphia, St. Louis, Edison, Jacksonville, Towson, Salt Lake City, Davidson, Murfreesboro, Atlanta, Alexandria, Sunnyvale, Santa clara, Carlsbad, San Marcos, Franklin, Tacoma, California, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Orlando, Fort Lauderdale, Miami, Gilbert, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Chennai, Bangalore, Pune, Mumbai, Delhi, Dubai, Doha, Melbourne, Brisbane, Perth, Wellington, Auckland, Colombo, Hanoi, kuala lumpur

Hands-on experience Architecting and delivering solutions using the Azure Data Analytics platform including Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search

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Mode of Training:

Classroom and Online Instructor led training

Prerequisites to Azure Data Factory Training Course:

· SQL knowledge

· SQL Server database concepts

· Data warehousing basics

· SQL Server Management Studio

· Azure Subscription

Azure Data Factory Course online:

Overview of the Microsoft Azure Platform

• Introduction to Azure

• Basics of Cloud computing

• Azure Infrastructure

• Walkthrough of Azure Portal

• Overview of Azure Services

Azure Data Architecture

• Traditional RDBMS workloads.

• Data Warehousing Approach

• Big data architectures.

• Transferring data to and from Azure

Azure Storage options

• Blob Storage

• RDBMS

• Hadoop

• NoSQL

• Disk

Blob Storage

• Azure Blob Resources

• Types of Blobs in Azure

• Azure storage account data objects

• Azure storage account types and Options

• Replications in distribution

• Secure access to an application's data

• Azure Import/Export service

• Storage Explorer

• Practical section on Blob Storage

Azure SQL Server

• Azure SQL Database Overview

• Understanding Azure SQL Features

• Azure SQL Database Tools

• Securing and Recovering an AzureSQL Database Instance

• Understanding Azure SQL pricing

• Migrating Data to Azure SQL

• Establish data sync

• Monitoring/Tuning Azure SQL

Azure DataWarehouse

• Introduction to Azure DWH

• Overview of architecture of AzureDWH

• Features of Azure DWH

• Polybase in detail

• Loading Azure SQL DWH

• Querying and tuning Azure DWH

Azure Data Factory

• Introduction to Azure DataFactory

• Azure Data Factory components

• Orchestrate the Extract and loadwith ADF

• Develop and Run Pipelines

• Scheduling your ADF

• Monitoring your ADF

• Manage ADF

Azure Data Lake & Azure Data Lake Analytics

• Introduction to Azure Analysis Services

• Creating a sample Azure Analysis Services model – Web Designer

• Connecting to the model through SSMS

• Connect using Excel

• Create a new model from scratch -Web designer

• Create relationship

• Create new measures

• Create new calculated columns

• Develop an Azure AS model using Visual Studio

• Migrating on premise SSAS model to Azure AS

Azure Data Engineer- Azure Data Factory Analytics, Azure Data lake, Azure Data bricks Online Training in Hyderabad,Bangalore,Pune,Chennai,Mumbai,USA,UK,Canada,Dubai. both source and sink, that Azure supports are - Azure Blob storage, Azure Cosmos DB (DocumentDB API), Azure Data Lake Store, Oracle, Cassandra, and a few others.