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    SSIS Training Course

    Microsoft SSIS (SQL Server Integration Services) is a business intelligence tool that is designed to make data migration easier. The main objective of SSIS is to analyze...

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    ₹ 25000

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    Baroda Institute of Technology
    ₹22000  ₹ 25000  

    12% off

     
    Buy Now
    This includes following
    •  100 Hours
    •  Completion certificate : Yes
    •  Language : Hinglish 
    Microsoft SSIS (SQL Server Integration Services) is a business intelligence tool that is designed to make data migration easier. The main objective of SSIS is to analyze and cleanse data and run extract, transform and load (ETL) processes for data warehousing. Implementing SQL Data Warehouse (SSIS) training course imparts core skills on the implementation of data warehouse platform for supporting a BI solution. Participants enrolled for this SQL Data Warehouse certification will learn to create the data warehouse with Microsoft-sql-server-2016-training-certification” The course also covers the Implementation of ETL using Integration Services, validation and cleansing of data using Data Quality Services and Master Data Services. Implementing SQL Data Warehouse course is ideal for database professionals, BI developers, and professionals who are responsible for creating BI solutions in an enterprise environment.

        Live Class Practical Oriented Training

        Timely Doubt Resolution

        Dedicated Student Success Mentor

        Certification & Job Assistance

        Free Access to Workshop & Webinar

        No Cost EMI Option

        Understand the components of a data warehousing solution. Implement a logical and physical design to create a data wareh...

        Create dynamic packages using parameters and variables. Implement Data Quality Services and Master Data Services

        Implement a physical design for a data warehouse. Understand SSIS for implementing data flows

        Implement Business Intelligence and its common scenarios in this SQL Data Warehouse certification training

       Lecture 1: Introduction to Data Warehousing

       Lecture 2: Planning Data Warehouse Infrastructure

       Lecture 3: Designing and Implementing a Data Warehouse

       Lecture 4: Column store Indexes

       Lecture 5: Implementing an Azure SQL Data Warehouse

       Lecture 6: Creating an ETL Solution

       Lecture 7: Implementing Control Flow in an SSIS Package

       Lecture 8: Debugging and Troubleshooting SSIS Packages

       Lecture 9: Implementing a Data Extraction Solution

       Lecture 10: Enforcing Data Quality

       Lecture 11: Master Data Services

       Lecture 12: Extending SQL Server Integration Services

       Lecture 13: Deploying and Configuring SSIS Packages

       Lecture 14: Consuming Data in a Data Warehouse 

    •   Lecture 1: Introduction to Data Warehousing
·      Lessons

·      Overview of Data Warehousing

·      Considerations for a Data Warehouse Solution

·      Lab

·      Exploring a Data Warehousing Solution
    •   Lecture 2: Planning Data Warehouse Infrastructure

·      Lessons

·      Considerations for Data Warehouse Infrastructure

·      Planning Data Warehouse Hardware

·      Lab

·      Planning Data Warehouse Infrastructure
    •   Lecture 3: Designing and Implementing a Data Warehouse

·      Lessons

·      Data Warehouse Design Overview

·      Designing Dimension Tables

·      Designing Fact Tables

·      Physical Design for a Data Warehouse

·      Lab

·      Implementing a Data Warehouse
    •   Lecture 4: Column store Indexes

·      Lessons

·      Introduction to Column store Indexes

·      Creating Column store Indexes

·      Working with Column store Indexes

·      Lab

·      Using Column store Indexes
    •   Lecture 5: Implementing an Azure SQL Data Warehouse

·      Lessons

·      Advantages of Azure SQL Data Warehouse

·      Implementing an Azure SQL Data Warehouse Database

·      Developing an Azure SQL Data Warehouse

·      Migrating to an Azure SQL Data Warehouse

·      Copying Data with the Azure Data Factory

·      Lab

·      Implement an Azure SQL Data Warehouse
    •   Lecture 6: Creating an ETL Solution

·      Lessons

·      Introduction to ETL with SSIS

·      Exploring Source Data

·      Implementing Data Flow

·      Lab

·      Implementing Data Flow in an SSIS Package
    •   Lecture 7: Implementing Control Flow in an SSIS Package

·      Lessons

·      Introduction to Control Flow

·      Creating Dynamic Packages

·      Using Containers

·      Managing Consistency

·      Lab

·      Implementing Control Flow in an SSIS Package

·      Using Transactions and Checkpoints
    •   Lecture 8: Debugging and Troubleshooting SSIS Packages

·      Lessons

·      Debugging an SSIS Package

·      Logging SSIS Package Events

·      Handling Errors in an SSIS Package

·      Lab

·      Debugging and Troubleshooting an SSIS Package
    •   Lecture 9: Implementing a Data Extraction Solution

·      Lessons

·      Introduction to Incremental ETL

·      Extracting Modified Data

·      Loading Modified Data

·      Temporal Tables

·      Lab

·      Extracting Modified Data

·      Loading a Data Warehouse
    •   Lecture 10: Enforcing Data Quality

·      Lessons

·      Introduction to Data Quality

·      Using Data Quality Services to Cleanse Data

·      Using Data Quality Services to Match Data

·      Lab

·      Cleansing Data

·      Duplicating DataLecture 10: Enforcing Data Quality
    •   Lecture 11: Master Data Services
·      Lessons

·      Introduction to Master Data Services

·      Implementing a Master Data Services Model

·      Hierarchies and Collections

·      Creating a Master Data Hub

·      Lab

·      Implementing Master Data Services Model
    •   Lecture 12: Extending SQL Server Integration Services
·      Lessons

·      Using Scripts in SSIS

·      Using Custom Components in SSIS

·      Lab

·      Using Custom Scripts
    •   Lecture 13: Deploying and Configuring SSIS Packages

·      Lessons

·      Overview of SSIS Development

·      Deploying SSIS Projects

·      Planning SSIS Package Execution

·      Lab

·      Deploying and Configuring SSIS Packages
    •   Lecture 14: Consuming Data in a Data Warehouse
 
·      Lessons

·      Introduction to Business Intelligence

·      Introduction to Data Analysis

·      Introduction to Reporting

·      Analysing Data with Azure SQL Data Warehouse

·      Lab

·      Using a Data Warehouse
    Designing a normalized database. Creating tables and relationships. Querying with Transact-SQL.
    Ans: The course offers a variety of online training options, including: • Live Virtual Classroom Training: Participate in real-time interactive sessions with instructors and peers. • 1:1 Doubt Resolution Sessions: Get personalized assistance and clarification on course-related queries. • Recorded Live Lectures*: Access recorded sessions for review or to catch up on missed classes. • Flexible Schedule: Enjoy the flexibility to learn at your own pace and according to your schedule.
    Ans: Live Virtual Classroom Training allows you to attend instructor-led sessions in real-time through an online platform. You can interact with the instructor, ask questions, participate in discussions, and collaborate with fellow learners, simulating the experience of a traditional classroom setting from the comfort of your own space.
    Ans: If you miss a live session, you can access recorded lectures* to review the content covered during the session. This allows you to catch up on any missed material at your own pace and ensures that you don't fall behind in your learning journey.
    Ans: The course offers a flexible schedule, allowing you to learn at times that suit you best. Whether you have other commitments or prefer to study during specific hours, the course structure accommodates your needs, enabling you to balance your learning with other responsibilities effectively. *Note: Availability of recorded live lectures may vary depending on the course and training provider.
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    Baroda Institute Of Technology - Training Program

    BIT (Baroda Institute Of Technology) Is A Training And Development Organization Catering To The Learning Requirements Of Candidates Globally Through A Wide Array Of Services. Established In 2002. BIT Strength In The Area Is Signified By The Number Of Its Authorized Training Partnerships. The Organization Conducts Trainings For Microsoft, Cisco , Red Hat , Oracle , EC-Council , Etc. Domains / Specialties Corporate Institutional Boot Camp / Classroom Online – BIT Virtual Academy Skill Development Government BIT’s Vision To Directly Associate Learning With Career Establishment Has Given The Right Set Of Skilled Professionals To The Dynamic Industry. Increased Focus On Readying Candidates For On-the-job Environments Makes It A Highly Preferred Learning Provider. BIT Is Valued For Offering Training That Is At Par With The Latest Market Trends And Also Match The Potential Of Candidates. With More Than A Decade Of Experience In Education And Development, The Organization Continues To Explore Wider Avenues In Order To Provide Learners A Platform Where They Find A Solution For All Their Up- Skilling Needs!

    Graduation
    2002
    Data Sciences

    More Courses by : Baroda Institute of Technology


    Baroda Institute of Technology
    ₹22000  ₹ 25000  

    12% off

     
    Buy Now
    This includes following
    •  100 Hours
    •  Completion certificate : Yes
    •  Language : Hinglish

    More Courses by : Baroda Institute of Technology


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