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Kameswara Sarma Uppuluri

SSIS is an enterprise-level Extract,Transform and Load (ETL) Development   tool.

SSIS is one of the most powerful application for moving data   in and out of various databases and files.

Read more

SSIS is an enterprise-level Extract,Transform and Load (ETL) Development   tool.

SSIS is one of the most powerful application for moving data   in and out of various databases and files.

SSIS is an enterprise-level Extract,Transform and Load (ETL) Development   tool.

SSIS is one of the most powerful application for moving data in and out of various databases and files.

SQL Server Integration Services is a platform for building enterprise-level data integration and data transformations solutions.

Integration Services can extract and transform data from a wide variety of sources such as XML data files, flat files, and relational data sources, and then load the data into one or more destinations.

You can use the graphical Integration Services tools to create solutions without writing a single line of code. You can also program the extensive Integration Services object model to create packages programmatically and code custom tasks and other package objects.

This course provides developers with a thorough knowledge in developing SSIS Packages with SQL Server 2016/2019/2022.

In this course by development expert Kameswara Sarma Uppuluri, you'll learn essential concepts that you need to know to build SSIS Packages from scratch.

This course provides developers with a thorough knowledge in developing SSIS Packages with SQL Server 2016.

In this course by development expert Kameswara Sarma Uppuluri, you'll learn essential concepts that you need to know to build SSIS Packages from scratch.

This course provides step-by-step walk-throughs and demos that you're encouraged to practice along with to enhance the learning process.

This course is broken down into 21 Modules with each module providing source code so that you can follow along with Kameswara Sarma Uppuluri.

Enroll now

What's inside

Learning objectives

  • Learn data migration techniques
  • Learn how to work with various dataflow transformations
  • Learn how to work with various controlflow activities
  • Learn how to use configuration files
  • Learn how to make dynamic ssis packages
  • Learn how to do event handling
  • Learn how to work with wmi tasks
  • Learn how to use msmq to pass messages between packages
  • Learn how to improve the db performance by using maintenance plan tasks
  • Learn how to implement checkpoints
  • Learn how to work with various data sources and data destinations
  • Show more
  • Show less

Syllabus

SSIS - The Big Picture
Course Introduction
Installing SQL Server 2022, SSMS
Installing Visual Studio 2022 Community Edition, Project Templates
Read more
Installing SQL Server 2016
Installing SSDT
Setting Up Sample Database
Overview of SQL Server Integration Services (SSIS)
COMPLETE COURSE EXERCISE FILES
Data Migration Techniques
Working with Import Export Wizard
Invoking Wizard From SSMS
Invoking Wizard From SSDT
Working with Data Flow Tasks - 1
Exporting Data From SQL Server To CSV File
Working with CharacterMap Transformation
Working with CopyColumn Transformation
Working with DerivedColumn Transformation
Working with PercentageSampling Transformation
Working with RowSampling Transformation
Working with Data Flow Tasks - 2
Working with Sort Transformation
Working with UnionAll Transformation
Working with Multicast Transformation
Working with ConditionalSplit Transformation
Working with Aggregate Transformation
Working with Data Flow Tasks - 3
Working with Audit Transformation
Working with ExportColumn Transformation
Working with ImportColumn Transformation
Working with Merge Transformation
Working with MergeJoin Transformation
Working with Data Flow Tasks - 4
Working with LookUp Transformation
Working with CacheTransform
Working with FuzzyLookUp Transformation
Working with FuzzyGrouping Transformation
Working with Data Flow Tasks - 5
Working with RowCount Transformation
Working with OLEDBCommand Transformation
Working with Pivot Transformation
Working with Unpivot Transformation
Working with Data Flow Tasks - 6
Working with TermExtract Transformation
Working with TermLookUp Transformation
Working with Control Flow - 1
Working with BulkInsert Task
Working with SequenceContainer Task
Working with ExecuteProcess Task
Working with ExecutePackage Task
Passing Parameters between Packages
Working with Control Flow - 2
Working with FileSystem Task
Working with WebService Task
Working with XML Task
Working with DataProfilingTask
Working with ControlFlow - 3
Working with TransferDatabase Task
Working with TransferSQLServerObjects Task
Working with TransferMasterStoredProcedures Task
Working with TransferJobs Task
Working with TransferLogins Task
Working with TransferErrorMessages Task
Working with Control Flow - 4
Working with For Loop Container in a Fixed Manner
Working with For Loop Container in a Variant Manner
Working with For Each File Enumerator
Working with For Each Item Enumerator
Working with For Each From Variable Enumerator
Working with For Each Node List Enumerator
Working with For Each SMO Enumerator
Working with For Each ADO Enumerator
Working with Configuration Types
Using Configuration Files
Using Configuration Tables
Creating Dynamic Packages
Creating Dynamic Connection Managers
Creating Dynamic Tasks
Event Handling Techniques
Using Precedence Constraints
Handling Events
Working with Log Providers
Working with Log Provider for Text Files
Working with Log Provider for XML Files
Working with Log Provider for Windows Event Log
Working with WMI Tasks
Working with WMIDataReader Task - 1
Working with WMIDataReader Task - 2
Working with WMIEventWatcher Task
Using Message Queuing Techniques
Sending and Receiving Messages with Message Queuing Task
Working with Maintenance Planning Tasks
Working with BackUpDatabase Task
Working with SQLServer Agent Job Task
Working with Execute T-SQL Task
Working with Update Statistics Task
Working with HistoryCleanUp Task
Working with ShrinkDatabase Task
Working with RebuildIndexes Task
Working with ReorganizeIndex Task

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops essential SSIS skills, which are core for data integration and transformation
Taught by instructors recognized for their SQL Server expertise
Covers a range of SSIS topics, from basic to advanced
Provides step-by-step walk-throughs and demos for hands-on learning
Suitable for beginners with no prior SSIS experience
Aligned with industry best practices and standards

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Reviews summary

Very good sql-server course

Learners say this Mastering SQL Server 2016 Integration Services (SSIS) Part 1 course is very good and helpful. It covers many topics that learners were not familiar with. This course can help learners with automation tasks at work.
Course covers many helpful topics.
"Es un curso muy bueno, me ayudara mucho para poder desempeñar unas automatizaciones que estoy realizando en la empresa en la que estoy trabajando ya que abarca muchos temas los cuales yo no tenia conocimiento "
"Very Recommended :)"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Mastering SQL Server 2016 Integration Services (SSIS)-Part 1 with these activities:
Practice CRUD Operations
Create, Read, Update, and Delete (CRUD) operations are the foundation of SSIS. Getting hands-on practice will help solidify your understanding.
Browse courses on Data Integration
Show steps
  • Create a new SSIS package
  • Add a data source
  • Add a data flow task
  • Add a destination
  • Execute the package
Create Sample ETL flows using SSIS
Reinforces learning by building and running sample SSIS packages that demonstrate the techniques learned in the course.
Show steps
  • Design a simple data integration flow using SSIS
  • Create a new SSIS project and package
  • Add data sources and destinations
  • Use data flow transformations to transform data
  • Run the package and analyze the results
Build an SSIS Package
Hands-on experience is crucial in mastering SSIS. Building a real-world package will help you apply the concepts learned in the course.
Browse courses on Data Integration
Show steps
  • Identify a business problem
  • Design the SSIS package
  • Implement the SSIS package
  • Deploy the SSIS package
  • Monitor the SSIS package
Two other activities
Expand to see all activities and additional details
Show all five activities
Write a blog post on a specific SSIS technique
Expands understanding by requiring students to articulate and explain a specific SSIS technique in a written format.
Show steps
  • Choose a specific SSIS technique to focus on
  • Research and gather information about the technique
  • Write a detailed blog post explaining the technique
  • Include examples and code snippets to illustrate the technique
  • Publish the blog post and share it with others
Follow online tutorials to explore advanced SSIS features
Extends learning beyond the course by exposing students to additional SSIS features and techniques.
Show steps
  • Identify online tutorials that cover advanced SSIS features
  • Follow the tutorials and complete the exercises
  • Experiment with the new features in your own SSIS projects
  • Share your learnings with other students or colleagues
  • Optional: Create a video tutorial or blog post to document your experience

Career center

Learners who complete Mastering SQL Server 2016 Integration Services (SSIS)-Part 1 will develop knowledge and skills that may be useful to these careers:
Data Integration Specialist
A Data Integration Specialist designs, develops, and maintains data integration solutions. This course provides a comprehensive overview of SSIS, the industry-leading tool for data integration. You will learn how to use SSIS to extract data from various sources, transform it to meet specific requirements, and load it into target databases. The course also covers advanced topics such as data profiling, error handling, and performance optimization, which are essential for building robust and efficient data integration solutions.
ETL Developer
An ETL Developer is responsible for designing, developing, and maintaining data integration and transformation processes. This course provides a comprehensive overview of SSIS, the industry-leading tool for ETL development. You will learn how to use SSIS to extract data from various sources, transform it to meet specific requirements, and load it into target databases. The course also covers advanced topics such as data profiling, error handling, and performance optimization, which are essential for building robust and efficient ETL solutions.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines that power data-driven applications. This course provides a solid foundation in SSIS, a key technology for data integration and transformation. By mastering SSIS, you will develop the skills to build scalable and reliable data pipelines that can handle large volumes of data. The course also covers topics such as data quality management, data governance, and data security, which are critical for Data Engineers.
Data Warehouse Engineer
A Data Warehouse Engineer designs, develops, and maintains data warehouses. This course provides a comprehensive overview of SSIS, a key technology for data integration and transformation. By mastering SSIS, you will develop the skills to build scalable and reliable data warehouses that can handle large volumes of data. The course also covers topics such as data modeling, data quality management, and data security, which are critical for Data Warehouse Engineers.
Data Management Consultant
A Data Management Consultant helps organizations manage and use their data effectively. This course provides a comprehensive overview of SSIS, a powerful tool for data integration and transformation. By mastering SSIS, you will develop the skills to help organizations build robust and efficient data management solutions. The course also covers topics such as data governance, data quality management, and data security, which are critical for Data Management Consultants.
Business Intelligence Analyst
A Business Intelligence Analyst analyzes data to identify trends and patterns that can help businesses make informed decisions. This course focuses on building SSIS packages that automate the extraction, transformation, and loading of data, which is essential for providing timely and accurate insights to stakeholders. The course also covers techniques for data cleansing, data profiling, and data visualization, which are key skills for Business Intelligence Analysts.
Database Developer
A Database Developer designs and develops database systems. This course provides a comprehensive overview of SSIS, a powerful tool for data integration and transformation. By mastering SSIS, you will develop the skills to build robust and efficient database systems that can handle large volumes of data. The course also covers topics such as data modeling, data optimization, and data security, which are essential for Database Developers.
Data Analyst
A Data Analyst is a professional who transforms raw data into meaningful insights, enabling organizations to make data-driven decisions. This course provides a comprehensive foundation in SQL Server Integration Services (SSIS), a powerful tool for data integration and transformation. By mastering SSIS, you will develop the skills to extract, transform, and load data efficiently, which is crucial for success as a Data Analyst.
Information Architect
An Information Architect designs and manages the structure and organization of information systems. This course may be useful for Information Architects who want to learn how to use SSIS for data integration and transformation tasks. The course covers topics such as data modeling, data governance, and data quality management, which are valuable skills for Information Architects.
Database Administrator
A Database Administrator is responsible for managing and maintaining database systems. This course may be useful for Database Administrators who want to expand their skill set and learn how to use SSIS for data integration and transformation tasks. The course covers topics such as data migration, data cleansing, and data profiling, which are valuable skills for Database Administrators.
Data Scientist
A Data Scientist uses data to build models that can predict future outcomes or identify patterns. This course may be useful for Data Scientists who want to learn how to use SSIS for data integration and transformation tasks. The course covers topics such as data mining, machine learning, and data visualization, which are valuable skills for Data Scientists.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for Software Engineers who want to learn how to use SSIS for data integration and transformation tasks. The course covers topics such as data modeling, data mapping, and data validation, which are valuable skills for Software Engineers.
Project Manager
A Project Manager plans, executes, and closes projects. This course may be useful for Project Managers who want to learn how to use SSIS for data integration and transformation tasks. The course covers topics such as project planning, risk management, and stakeholder management, which are valuable skills for Project Managers.
Systems Analyst
A Systems Analyst analyzes business processes and develops solutions to improve efficiency. This course may be useful for Systems Analysts who want to learn how to use SSIS for data integration and transformation tasks. The course covers topics such as business process modeling, data analysis, and requirements gathering, which are valuable skills for Systems Analysts.
Business Analyst
A Business Analyst analyzes business processes and identifies opportunities for improvement. This course may be useful for Business Analysts who want to learn how to use SSIS for data integration and transformation tasks. The course covers topics such as business process modeling, data analysis, and requirements gathering, which are valuable skills for Business Analysts.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Mastering SQL Server 2016 Integration Services (SSIS)-Part 1.
Comprehensive guide to SSIS, covering everything from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about SSIS or who needs help with a specific task.
Provides a comprehensive overview of SSIS, covering everything from the basics to advanced topics such as performance tuning and error handling. It valuable resource for anyone who wants to learn more about SSIS.
Provides a practical guide to using SSIS for data warehousing, with a focus on real-world examples. It valuable resource for anyone who wants to learn how to use SSIS to build data warehouses.
Provides a collection of best practices for SSIS development. It valuable resource for anyone who wants to learn how to develop SSIS packages that are efficient, reliable, and maintainable.
Provides a practical approach to learning SSIS, with step-by-step instructions and real-world examples. It good choice for beginners who want to learn the basics of SSIS.
Provides a gentle introduction to SSIS, with a focus on the basics. It good choice for beginners who want to learn the basics of SSIS.

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