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SSIS Online Training

SQL Server Integration Service (SSIS)

Learn to analyze data for business analytics and decision support.

$70 / ₹5625 for 6 Months
NewBatches / Webinars Download Curriculum

9 Modules

17.33 Hours

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  • MSBI Introduction
    Preview 44 Mins : 0

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What is SSIS?

SQL Server Integration Services (SSIS) is a component of the Microsoft SQL Server database software that can be used to perform a broad range of data migration tasks. SSIS is a platform for data integration and workflow applications. It features a data warehousing tool used for data extraction, transformation, and loading (ETL). The tool may also be used to automate maintenance of SQL Server databases and updates to multidimensional cube data.

Why choose SSIS?

  • SSIS tool helps you to merge data from various data stores
  • Automates Administrative Functions and Data Loading
  • Populates Data Marts & Data Warehouses
  • Helps you to clean and standardize data
  • Building BI into a Data Transformation Process
  • Automating Administrative Functions and Data Loading
  • SSIS contains a GUI that helps users to transform data easily rather than writing large programs
  • It can load millions of rows from one data source to another in very few minutes
  • Identifying, capturing, and processing data changes
  • Coordinating data maintenance, processing, or analysis
  • SSIS eliminates the need of hardcore programmers
  • SSIS offers robust error and event handling

Advantages of SSIS

  • SSIS can handle data from heterogeneous data sources at a same package. We say Data sources can be diverse, including custom or scripted adapters.
  • SSIS consumes data which are difficult like FTP, HTTP,MSMQ, and Analysis services etc.
  • SSIS provides transformation functionality.
  • Easier to maintain and package configuration
  • Tightly integrated with Microsoft Visual Studio and SQL Server.
  • Use the SQL Server Destination instead of OLE DB; which allows you to load data into SQL faster.
  • Remove network as a bottleneck for insertion of data by SSIS into SQL.
  • Better for complex transformations, multi-step operations, aggregating data from different data sources or types, and structured exception handling.
  • Data can be loaded in parallel to many varied destinations.

Course Objectives

  • Understand MSBI application development Life Cycle.
  • Understand basic Data Warehousing Concepts.
  • Understand the Concept of OLTP and OLAP.
  • Use SSDT (SQL Server Data Tools) in detail for development of SSIS packages.
  • Learn SSIS Architecture, Components of SSIS.
  • Gain complete understanding of different control flow tasks, containers and precedence constraints.
  • Gain complete understanding of wide variety of data flow Sources, Transformations and Destinations.
  • Learn to work with variables, data types, functions, expressions and parameters and providing Dynamism in SSIS.
  • Develop packages using different tasks and different Transformations based on real time requirements.
  • Learn working with event handler, Logging, Configuration Files.
  • Learn Error Handling and Debugging in SSIS.
  • Learn package deployment and project deployment.
  • Gain understanding of Security and Package management.

Instructor

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Mrs. Vandana Soni is a Microsoft Certified Trainer, Azure Data Engineer Associate, and a Software and Corporate Trainer. With 25 years of IT experience, she is adept Corporate Training, Live Training, and Online Webinars.

She has trained 50,000+ individuals all over the world and delivered 50+ Corporate Training all over India and abroad in the following technologies. She specializes in Data Analytics, SQL Server Training, and giving Certification Guidance to Corporates. As an Azure Data Engineer, she has the confidence in teaching from basics to advanced level topics, covering every aspect in detail.

Know more about Vandana Soni - https://www.bestitcourses.com/Vandanasoni

Follow her on LinkedIn -https://www.linkedin.com/in/vandana-soni-85a29475/

Pre-requisites:

Participants are need to be familiar with basic RDBMS concepts with skills to write queries. Working experience on any RDBMS would be an added advantage.

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