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Azure-Data Engineering

Step into the booming field of cloud by using Azure-based cloud infrastructures with our Azure DevOps course.

Build expertise in managing and automating Azure-based cloud infrastructures with our Azure DevOps course. This course covers everything from CI/CD pipelines to infrastructure as code, making you proficient in Azure cloud technologies.

Step 1: Practical Projects

2 live projects and 10+ demo projects to build your real-world experience.

Step 2: Mock Interviews & Placement Support

Focused interview preparation and assistance with crafting a DevOps-ready resume.

Step 3: Trainer Expertise

Delivered by Azure-certified DevOps engineers who bring real-world experience to the table.

70

hours practical

50

hours theory

120

Hours

Enroll

Step into the booming field of Data Science by learning data analysis, machine learning algorithms, and statistical tools.

online Training

online Training

Course Syllabus

Download Syllabus PDF

Dive into the essential world of software testing, where you’ll learn the principles of quality assurance, test case design, and automated testing frameworks. This comprehensive course combines theoretical knowledge with practical skills, preparing you to ensure the reliability and performance of software applications across various platforms.

1. Sql Structure Quert Language
  • create table
  • insert into
  • view table
  • sql clauses
  • sql operations
  • single row functions
  • arithmetic, relational and logical operations
  • joins
  • subqueries
  • set operators
  • string functions
  • pseudo columns
  • data type conversions
  • views
  • indexes
  • constraints
  • general functions
  • syntax
  • variables
  • operations
  • data types
  • functions
  • looping
  • etl architecture
  • olap vs oltp
  • sdlc
  • stlc
  • agile and waterfall methodology
  • snowflake and star schema
  • database and data warehouse
  • fact and dimensional table
  • full and incremental load
  • scd types
  • jiira
  • what is cloud
  • cloud deployment models
  • cloud providers
  • storage types
  • cloud computing models
  • azure portal installation
  • subscription
  • resource group
  • resources
  • storage account creation
  • sql database creation
  • virtual machine creation
  • adf creation
  • adb creation
  • synapse analytics creation
  • understanding linked services, datasets, and pipelines
  • introduction to integration runtime
  • copy activity
  • blob to blob copy
  • blob to sql copy
  • sql to blob copy
  • delete activity
  • lookup transformation
  • parameterization
  • stored procedures
  • triggers
  • select transformations
  • joins
  • union and union all functions
  • rank and dense_rank function
  • derived new column
  • filter and sort function
  • alter row function
  • for each activity
  • if condition
  • create databricks community
  • databricks architecture
  • databricks overview
  • spark sql-part 1
  • spark sql – part 2
  • pyspark introduction
  • pyspark dataframe
  • how to apply filter and sort dataframe
  • pyspark groupby and aggregate function
  • join and union in pyspark
  • date functions
  • date format
  • windows function
  • create temp view
  • dataframe transformcache vs persist
  • explode function
  • partition by
  • udf
  • pivot unpivot function
  • structtype ()
  • structfield ()
  • collect ()
  • fill and fillna
  • joining
  • sort and order by
  • distinct and drop duplicate
  • filter
  • with column and with column renamed
  • what is big data
  • how big data supports and stores data
  • what are all issues big data faces
  • what is hadoop
  • how hadoop overcomes big data problems
  • hadoop processings
  • introduction to azure synapse analytics
  • synapse architecture
  • create azure synapse analytics
  • serverless sql pool
  • dedicated sql pool
  • overview of power bi
  • how to import data
  • how to visualise according to client requirements
  • azure data factory project (incremental load project)
  • azure data factory (data migration on-prem to cloud)
  • azure data factory pipeline project (multiple csv file transfer)
  • azure data factory (data transformation project)
  • azure data factory (scd type-1)
  • pyspark project (sql to adls)
  • databricks end to end project
  • power bi project
  • industry level azure data engineer end to end project (sql + adf + databricks + power bi)

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President

A.R. Nallathambi is a visionary leader with over 33 years of experience in the IT industry providing cutting-edge IT Training, Placement, and Development services. Under his leadership, the company focuses on bridging the gap between academic learning and industry requirements. 

He is instrumental in shaping the company’s training programs to include the latest technologies such as AI, Data Science, Cybersecurity, and Cloud Computing. Under his leadership, IAT Solutions is dedicated to delivering top-quality solutions while fostering innovation and growth. His vast industry knowledge and leadership experience continue to shape the company’s strategic direction.