Maven training’s Implementing a Data Warehouse with Microsoft SQL Server (M20463) course helps delegates to understand about Data Warehouse Platform application methods for supporting Business Intelligence solutions. This course focuses mainly on techniques to create a Data Warehouse with Microsoft® SQL Server® 2014. The candidates will learn about using SQL Server Data Quality Services and SQL Server Master Data Services. They will understand how to implement ETL with SQL Server Integration Services.
This course is primarily intended for delegates who are interested in acquiring skills in SQL Server 2014. It covers complete new features of SQL Server 2014 and also necessary skills across SQL Server data platform.
Database administrators and other IT professionals learn to implement Data Warehouse for supporting Business Intelligence
Efficiently handle data with SQL Server Data Quality Services
Maven training offers this course at an affordable price
Get the knowledge to develop SSIS packages to extract, load and transform information
Our well qualified and Microsoft Certified trainers will help you prepare for the exam
Tutors will provide key learning points and support
Gain the certification after clearing the exam
Excel more in your field and gain more exposure
What's included
Tutor Support
Key Learning Points
Exam(s) included
Certificate
Delegates who want to attend this course must meet the following prerequisites:
At least two years’ experience of working with relational Databases including:
What Will You Learn
The course is proposed for Database Administrators. The major responsibilities of Database Administrator include:
This Maven training course follows Microsoft Learning curriculum. To understand thoroughly the concepts of this course delegates must already possess knowledge about Administering Microsoft SQL Server 2014. Our well qualified and Microsoft Certified Trainers help delegates to understand each concept thoroughly by providing key learning points and real world examples. Learn with Maven training and gain certification at the end after clearing the exam.
Introduction to Data Warehousing
In this get an introduction to principal components of Data Warehousing Solution and other important considerations that delegate must take into account while starting on a Data Warehousing Project.
Data Warehouse Hardware Considerations
In this get review for selecting hardware and distributing SQL Server facilities across servers.
Design and implement a Data Warehouse
This module describes primary factors for the logical design of data warehouse and then best practices for implementing it physically.
Creating an ETL Solution with SSIS
In this learn about considerations for implementing ETL process and then focus integration services of Microsoft SQL Server that act as a platform for building ETL solutions.
Implement control flow in SSIS package
It describes how to apply these ETL solutions that combine multiple workflow logic and tasks.
Debug and troubleshoot SSIS packages
In this module learn how to debug SSIS packages for finding the cause of errors that occur during execution. Understand about logging functionality to log events for troubleshooting and learn about various approaches to handling errors in control and data flow.
Implementing Incremental ETL process
It describes techniques to perform an additional Data Warehouse refresh process.
Enforce Data Quality
Using Master Data Services
Master data services provide a way for organisations to improve quality, trust and consistency of data and standardise data that guides major business decisions. It also explains the benefits of using Master Data Services.
Extending SQL Server Integration services
This module describes techniques delegates can use to extend SSIS. It provides awareness of basic steps required to use custom components and scripts in ETL process which is based on SSIS.
Deploying and configuring SSIS packages
In this learn to use packages and their dependencies to the server and how to manage as well as monitor execution of used packages.
Consuming Data in Data Warehouse
It introduces business intelligence (BI) and describes how to use Data Warehouse as the basis for self-service and enterprise Business Intelligence (BI).
Implementing a Data Warehouse with Microsoft SQL Server (M20463) Enquiry
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