Azure Data Engineer Training in Hyderabad
Are you looking for best training institute for Microsoft Azure Data Engineer Training in Hyderabad? Eclasess offers best Microsoft Azure Data Engineer online and classroom Training from Hyderabad, India by IT 10+ yr in industrial real time experts.
Azure Data Engineer Online Training
This Microsoft Azure Data Factory training will equip you with the skills to perform Big Data Engineering on Microsoft Cloud Storage Services. You will learn how to connect Power BI with a data lake and how to use a data factory. This also covers real-time industry use cases and project work to give you hands-on experiences on using data factory and data lake and deploy the same in relevant software pipelines. Learn Azure data factory from the best Microsoft certified data factory experts.
Online Azure Data Engineer Training Hyderabad
- Eclasess Education provides the best ADF certification training course in collaboration with industry experts with certified trainers.
- Our trainers are certified Experts with min 10+ years of industry experience.
- We have also worked as training partners for many corporations across the globe.
- Not just live sessions, we help you get live practical exposure through our tasks & assignments.
- We get everyone covered. We offer online classes, Classroom training & self paced recorded sessions.
- what is Cloud computing
- what are services offering Microsoft azure
- Advantages of cloud computing
- Types of cloud deployments
- Types of cloud Services
- Microsoft Azure vs AWS
- How to Create Azure Account
- Azure Architecture & Services
- How to Create Resources and Resource Groups in Microsoft Azure
- Azure Resource Manager vs. classic deployment
- How to create Virtual Machine
- Blob
- File
- Queues
- Tables
- Security in Storage Account
- Acceas keys
- Share Accese Signatures
- What is Azure SQL
- Different deployments of SQL in Azure
- Azure SQL Managed Instance
- Azure SQL in Virtual Machine
- How to create Azure SQL Server
- How to Create Database in Azure SQL Server
- What is Elastic Pool in Azure SQL Database
- Different kind of Pricing Tiers in Azure SQL
- How to Query Azure SQL Server from On-premises SSMS and Cloud
- How to Query Data from Azure Blob files into SQL using Poly base
- What is Polybase in Azure SQL
- What is External tables
- What are limitations compared On-premises to Cloud SQL Server
- How to Load Data from On-premises to Cloud SQL using data factory
- Migration of Existing Data from on premises to SQL Azure
- Compare SQL Database vs Azure DW
- How to Create Azure DW
- How to cross query data in DW
- Poly base using Azure Data warehouse
- How to Query Azure SQL DW from On-premises SSMS and Cloud
- How to Load Data to Azure DW using data Factory from Azure SQL
- How to Load Data from on premises to Cloud SQL DW using data factory
- Azure Data Factory vs SSIS
- Linked Services
- Data Sets
- Pipelines
- Parameters vs Variables
- Copy Data
- Monitor Manage
- Autor and Deploy
- Different kinds of integration runtimes
- How to create pipelines from template
- How to configure different Integration Runtimes
- Azure Integration runtime
- Azure Bell Hosted Integration Runtime
- SSIS Integration runtime.
- Copy Data
- Append Variable
- Execute Pipeline
- Execute SSIS Package
- Get Metadata
- Lookup
- Stored procedure
- Set Variable
- Delete
- Wait
- Until
- Filter
- For Each
- If Condition
- Until
- Source
- Lookup
- Derived Column
- Alter Row
- Conditional Split
- Sink
- What are ARM Templates using for Deployment
- How to Deploy Data Factory Pipelines DEV, Test, Prod environment
- Version Control and Code Repository in Git Hub
- Debugging and Monitoring Pipelines
- Error handling and Logging error records
- Lift and Shift SSIS packages in to Azure Data Factory
- What is Logic Apps
- How to Create Workflow using Logic Apps in Azure.
- How to Send Mail using Logic app in Azure Data Factory
- What is Azure Analysis Services Tabular Model
- How to create Azure Analysis Service Tabular model project
- What is Workspace database
- Import Data
- Direct Query Mode
- Tables and Columns
- Relationships
- Calculations
- Measures
- KPIs
- Hierarchies
- Partitions
- Perspectives
- Translations
- Roles
- Deployment of Tabular Project
- Migration of Tabular Project
- Installation of On premises Gateway
- Blob Storage vs Data Lake
- What is Data Lake
- Date Lake Gen1 Vs Gen2
- How to store Data into data lake
- How to Query data from data lake to SQL Server.
- Introduction to Azure Data Lake U-SQL Batch Job
- Data Lake Analytics
- How to Schedule Data Lake Analytics Jobs using Data Factory
- Azure Blob to Data Lake Gen 2 using Data Factory
- What is HD-insight
- Introduction
- Introduction to U SQL
- U-SQL vs SQL
- How to Run U-SQL scripts
- Extractors and Out putters
- How to extract Data from Data Lake gen1
- Query TSV Files
- Create Database and Table
- Populate Table
- Create Rowset
- Defining parameters
- Performing Grouping and aggregation
- Conditionally counting
- Filtering aggregated rows
- Aggregate functions
- The U-SQL catalog
- Databases
- How to create Tables
- How to create Views
- How to create Stored Procedures
- How to create Functions
- How to create Table-valued functions (TVFs)
- What is Data bricks
- How to Create Data Bricks Free Account
- What is Workspace in Data Bricks
- Different Kind of Clusters in Data Bricks
- Basics of Spark.
- What is Note Books
- How to Mount Data take to data bricks using Scala
- Reading data From Blob storage and Writing into Azure sqL
- Reading data From Data Lake storage and Writing into Azure SQL
- using Python and scala
- Explore, Analyze, Clean, Transform and Load Data in Data bricks using Python and SqL
- Python vs scata vs SQL
- Configure data bricks
- schedule and Run Notebooks in Azure Data Factory
- Access Keys
- Shared Access Signature
- Azure Active Directory
- How to register App in Azure Active Directory
- Role Based Access Control
- what is power BI
- How to create Reports in Power BI desktop Using Azure Data sources
- Publish Reports into power BI cloud
To Speak With an Expert
+91 7997457228
- Duration 2 Months
- Trained Students 12565
- Days 60 Days
- Resume Preparation Yes
- Interview Guidance Yes
