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.
1-on-1 Training
Schedule personalized sessions based upon your availability.
Customized Training
Tailor your learning experience. Dive deeper in topics of greater interest to you.
4-Hour Sessions
Optimize learning with Koenig's 4-hour sessions, balancing knowledge retention and time constraints.
Free Demo Class
Join our training with confidence. Attend a free demo class to experience our expert trainers and get all your queries answered.
Purchase This Course
♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
1. Oracle Data Integrator 12c: Integration and Administration Ed 3 Implementing a SQL 2016 Data Warehouse (SSIS) and Oracle Data Integrator 12c: Integration and Administration Ed 3 are courses focused on data integration and administration Read More
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:
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.
The Implementing a SQL 2016 Data Warehouse (SSIS) course is designed for IT professionals responsible for data warehouse implementation and management.
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.
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:
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:
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:
The features of a data warehouse include:
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:
This Implementing a SQL 2016 Data Warehouse online course is intended for;
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:
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: