Microsoft/Implementing a SQL 2016 Data Warehouse (SSIS)/20767C/70-767


Implementing a SQL 2016 Data Warehouse (SSIS) Certification Training Course Overview

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 and Azure SQL Data Warehouse. 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.

SSIS Tasks

SSIS is an ETL tool that performs various operations like loading the data based on need, executes data related calculations and defines a workflow for the process and tasks.

Types of Data Warehouse

There are three types of data warehouse:

  • Operational Data Store – An Operational Data Store (ODS) is a type of database that processes data from multiple sources and sends it to the corresponding operational system and data warehouse. Since an ODS is used to store short term data, it serves as an intermediate database.
  • Enterprise Data Warehouse – An Enterprise Data Warehouse is a common database that holds all the business data and makes it available across the company for analysis and planning purposes.
  • Data Mart – A data mart is responsible for serving a particular group by making the specific set of data available to that group so that the users don’t have to waste their precious time and efforts in searching for the data they need.
This course prepares you for Exam 70-767. Download Course Contents Test your current knowledge Qubits42

Implementing a SQL 2016 Data Warehouse (SSIS) Course schedule & Prices

Course Details Schedule
Live Virtual Classroom (Instructor-Led)
Duration : 5 Days (10 Days for 4 Hours/Day)
Fee : 1,600 (Includes Taxes) 
9 AM - 5 PM (Flexible Time Slots for 4 hours option)






January
8 Hours/Day
17-21
18-22
17-28
18-29
February
8 Hours/Day
01-05
07-11
08-12
14-18
01-12
07-18
08-19
14-25
March
8 Hours/Day
01-05
07-11
08-12
14-18
01-12
07-18
08-19
14-25
April
8 Hours/Day
05-09
11-15
12-16
05-16
11-22
12-23
WeekEnd- 13-Feb 14-Feb 20-Feb 21-Feb
Client's Location
As per mutual convenience

Classroom training is available in select Cities

Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

Special Solutions for Corporate Clients! Click here

Hire Our Trainers! Click here

Request More Information

Course Prerequisites

  • Designing a normalized database.
  • Creating tables and relationships.
  • Querying with Transact-SQL.
  • Some exposure to basic programming constructs (such as looping and branching).


Upon Completion of this Course, you will accomplish following:-

  • Understand the components of a data warehousing solution
  • Implement a logical and physical design to create a data warehouse
  • Implement a physical design for a data warehouse
  • Understand SSIS for implementing data flows
  • Create dynamic packages using parameters and variables
  • Implement Data Quality Services and Master Data Services
  • Implement custom components for extending SSIS
  • Implement Business Intelligence and its common scenarios in this SQL Data Warehouse certification training

Give an edge to your career with Microsoft certification training courses. Students can join the classes for 20767: SSIS Training for Implementing a SQL 2016 Data Warehouse (SSIS) at Koenig Campus located at New Delhi, Bengaluru, Shimla, Goa, Dehradun, Dubai & Instructor-Led Online.

Student Feedback  (Check Koenig Feedback on Trustpilot)

Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training ?

Student Name Country Month Feedback Rating
Elizabeth Torres United States Sep-2019 A1. He was a very good training and made sure that we did not move on until I completely understood the issue.
Abdul Razak Yermal United States Jan-2021 It was disappointing to cancel the classroom training due to ineffective trainer. Request you to assign trainer based on the students profile and training requirement.
Sharell Lobo United States Aug-2020 A1. Lab sessions were good. Covered the basics well.
Yaw Owusu-akwamoah United States Nov-2019 A3. Yes, I would.
Mohamed Ahmed United States Nov-2019 A2. Care and accuracy
Joseph Kiggundu United States Nov-2019 A3. Definitely YES, and I have already referred 2 of my subordinates in the Department for training at Koenig Delhi before the end of this year.
Mokhibuddin Syed United States Nov-2019 A1. Good Punctual
Fahad A. Al-shohaieb United States Oct-2019 A3. yes
Saleh B. Alshamikh United States Sep-2019 A2. All most better
Keflemariam Gebretsadike United States Aug-2019 A3. Yes, Absolutely.
khalid alomari United States Jul-2019 https://youtu.be/kpmPnJmcQBs
Chiyesu Kalaba United States May-2019 A1. He is a subject mater expert for the courses covered. Went out of his way covering concepts which were prerequisites for the courses for which I had no background in.
Zieb R. Alqahtani United States Apr-2019 A3. Kindly help us in keeping quality at Koenig high. Training lab needs improvement by install all training needs in the computer of the lab not to connect to remote desktop which is not allowed to copy certain data in the server and also slow connection to the server bad viewing and connection. The instructor of the course has a good knowledge and helpful and cover all need even there are some point we didn’t cover due to the lab abilities.
Armando Microsse United States Mar-2019 Irchade Usta
Jones Mwende United States Mar-2019 Data Science

FAQ's


No, the published fee includes all applicable taxes.

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