Implementing a SQL 2016 Data Warehouse (SSIS) Course Overview

Implementing a SQL 2016 Data Warehouse (SSIS) Course Overview

The Implementing a SQL 2016 Data Warehouse (SSIS) course is designed to educate learners on how to implement a data warehouse platform to support a BI solution. Participants will learn how to create a data warehouse with Microsoft SQL Server SSIS, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Throughout the course, students will delve into topics such as data warehouse concepts, infrastructure planning, designing and implementing a data warehouse, ETL processes, and how to consume data effectively. They will also explore the use of Columnstore indexes, the implementation of an Azure SQL Data Warehouse, and the extension of SQL Server Integration Services with custom scripts and components.

This comprehensive sql server integration services course equips learners with practical skills through a series of labs and lectures, preparing them for real-world data warehousing challenges. By the end of the course, students will be proficient in building and deploying data warehouse solutions, ensuring they can manage and maintain data with Microsoft's powerful tools.

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  • Live Online Training (Duration : 40 Hours)
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Course Prerequisites

To ensure that you have the most beneficial learning experience in the Implementing a SQL 2016 Data Warehouse (SSIS) course, the following are the minimum required prerequisites:


  • Basic understanding of relational databases and data warehouse concepts, such as tables, queries, SQL statements, and database schemas.
  • Familiarity with the Microsoft Windows operating system and its core functionality.
  • Experience with Transact-SQL (T-SQL), including the ability to write basic T-SQL queries for Microsoft SQL Server.
  • Basic knowledge of key business priorities such as revenue, profitability, and financial accounting is desirable.
  • Exposure to basic programming constructs (like loops and branching) is helpful but not mandatory.

Please note that while these are the minimum requirements, having additional experience in database design, business intelligence, or ETL processes will enhance your learning experience. Our course is designed to accommodate a range of skill levels, and our instructors are adept at helping students bridge gaps in their understanding.


Target Audience for Implementing a SQL 2016 Data Warehouse (SSIS)

The Implementing a SQL 2016 Data Warehouse (SSIS) course is designed for IT professionals responsible for data warehouse implementation and management.


  • Database Professionals seeking to learn about data warehousing with SQL Server 2016
  • IT Professionals interested in learning SQL Server Integration Services (SSIS)
  • Business Intelligence (BI) Developers who need to create and maintain a data warehouse
  • Data Analysts interested in transforming, cleansing, and loading data
  • ETL Developers who need to develop SSIS packages for data extraction, transformation, and loading
  • Database Administrators looking to maintain and oversee data warehouses
  • Data Architects responsible for designing and implementing data warehouses and BI solutions
  • Professionals aiming to improve data quality and enforce data consistency in their organization
  • Data Engineers who plan to implement big data solutions with Azure SQL Data Warehouse
  • IT Project Managers overseeing data warehousing projects
  • Technical Consultants providing data warehousing solutions to clients
  • Report Developers who need to consume data from data warehouses for reporting purposes
  • System Integrators working on integrating various data sources into a cohesive data warehouse
  • IT Decision Makers evaluating data warehousing strategies and tools for their organizations


Learning Objectives - What you will Learn in this Implementing a SQL 2016 Data Warehouse (SSIS)?

Introduction to the Course's Learning Outcomes and Concepts Covered:

This course offers comprehensive training in implementing a SQL 2016 Data Warehouse with SSIS, covering data warehousing concepts, ETL processes, data quality, and BI solutions.

Learning Objectives and Outcomes:

  • Understand the key components and considerations of a data warehousing solution, including infrastructure and hardware planning.
  • Design and implement a robust data warehouse using SQL Server 2016, focusing on dimension and fact table design.
  • Gain proficiency in managing and creating Columnstore indexes to optimize data warehouse storage and query performance.
  • Learn to implement and develop an Azure SQL Data Warehouse, including data migration and integration with Azure Data Factory.
  • Develop ETL solutions with SSIS (SQL Server Integration Services), emphasizing data flow and transformation techniques.
  • Master control flow in SSIS packages, dynamic package creation, and the use of containers to manage consistency and transactionality.
  • Acquire skills in debugging, troubleshooting, and error handling within SSIS packages to ensure reliable ETL processes.
  • Implement data extraction solutions, understand incremental ETL, and work with temporal tables for handling data changes over time.
  • Enforce data quality using Data Quality Services (DQS) and Master Data Services (MDS) for data cleansing, matching, and deduplication.
  • Extend SSIS capabilities with custom scripts and components, and learn to deploy and configure SSIS packages for optimal data warehouse consumption.

FAQ's


It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
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The Fee includes:
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Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
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  • Oracle Data Integrator 12c: Integration and Administration Ed 3

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.

SSIS package configuration is referred to the settings that help us modify a property without opening the package. This is possible due to the fact that the configuration is stored somewhere outside the code that makes up the SSIS package.

Some of the prominent differences between SSIS and SSRS are:

  • SSIS refers to SQL Server Integration Services while SSRS stands for SQL Server Reporting Services.
  • The main feature of SSIS is data holding which includes components such as Import and Export Wizard, SSIS API programming and SSIS Designer. On the other hand, SSRS is mainly used for reporting with components such as Report Designer, Report Builder, Report Server and Report Manager.

An SQL Server Data Warehouse is a kind of central repository used for storing heterogeneous data related to the purposes of analysis and reporting. It consolidates, standardizes and organizes the data for better decision making.

There are 7 important steps that one follow to build a robust data warehouse:

  • Determining the objectives of the company
  • Collecting and analyzing information
  • Identifying major or core business processes
  • Constructing a conceptual data model
  • Locating data sources and planning data transformations
  • Tracking the warehouse storage duration
  • Implementing the plan

A database is an organized collection of data. On the other hand, a data warehouse is a kind of database (or group of databases) created to store, filter, retrieve and analyze huge volumes of data. The basic approach these days is to store data from all the databases into a data warehouse which enables one time analysis and visualization on the complete bulk of data.

A data warehouse is a repository of large volume of operational and customer-related data imported from other databases. This ensures analysis of data in a more holistic way. For example, from a business point of few, a data warehouse might include customer information, website details, mailing lists, comment cards and employee information including time cards, demographic data and salary information.

The major benefits of a data warehouse include:

  • Enhanced system performance
  • Timely data access
  • Increased consistency and quality
  • High Return on Investment (ROI)
  • Access to historical data
  • Cost-effective decision making

The features of a data warehouse include:

  • Subject Oriented
  • Integrated
  • Time Variant
  • Non-Volatile
  • Data Granuality

Data warehousing is applicable to a whole lot of sectors including banking, finance, consumer goods, government and education, healthcare, hospitality, insurance, services, telephone and transportation, among many others.

The data warehouse tools help build enterprise data solutions to fetch information from the data easily and quickly in the cloud. Here is a list of the most popular data warehouse tools:

  • Amazon Redshift
  • Teradata
  • Oracle 12c
  • Informatica
  • IBM Infosphere
  • Ab Initio Software
  • ParAccel
  • Cloudera
  • AnalytiX DS
  • MarkLogic

This Implementing a SQL 2016 Data Warehouse online course is intended for;

  • Database professionals looking to fulfill a business intelligence developer role focused on hands-on work. This includes professionals looking to create BI solutions that include data warehouse implementation, ETL, and data cleansing
  • Software and ETL developers
  • Students with a basic knowledge of SQL are looking to start a career in Business Intelligence
  • Database professionals who are responsible for implementing a data warehouse, enforcing data integrity using Microsoft Data Services, developing SSIS packages for data ETL, and cleansing data using Data Quality Services

Big data is a critical component of businesses today. Comprehensive data warehousing and management practices can churn out meaningful business insights allowing companies to optimize their internal processes for a better outcome. In such a scenario, professionals with the right skill set will be all the more valuable, especially with data warehousing skills. Hence, Implementing SQL 2016 Data Warehouse training is all the more critical for professionals as it helps them to stay relevant and helps organizations utilize their data and deliver improved customer services across various verticals. The average salary of a certified Data Warehouse professional may range anywhere between USD 88,000 to USD 132,000 per annum.

The cost of Implementing a SQL 2016 Data Warehouse (SSIS) training course at Koenig Solutions is USD 1050. This depends on the choice of learning format and location of the student. The cost for the Microsoft 70-765 examination remains the same at USD 165 across the globe. This SSIS certification exam can be taken at the Pearson Vue test center either in person or through web-proctored mode.

The average duration of this Implementing a SQL 2016 Data Warehouse course is five days. At Koenig Solutions, we provide two different options to take up this SSIS training either as a 4 hours / day (10 Days) or 8 hours / day (5 days) training.

Participants who enroll for the Implementing a SQL 2016 Data Warehouse certification training will get:

  • A copy of the Implementing a SQL 2016 Data Warehouse course material
  • Microsoft 70-767 Sample Papers
  • Hands-on exercises developed by an expert trainer
  • Implementing a SQL 2016 Data Warehouse course completion certificate from a Microsoft Gold Partner

Yes, Koenig Solutions is a Microsoft Gold Partner to deliver Implementing a SQL 2016 Data Warehouse Certification Training across the globe.

You can take up this Implementing a SQL 2016 Data Warehouse certification training course in five different delivery modes that include:

  • Instructor-led classroom training
  • Instructor-led Live online training
  • 1-on-1 training
  • Fly-me-a-Trainer
  • Corporate/on-site training

Prices & Payments

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Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.
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