SQL Courses

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  • Data Analysis Using Sql Server Course

    Data Analysis Using Sql Server Course

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    Data Analysis Using Sql Server Course, Advanced Excel Training Course
  • SQL Courses

    SQL Courses

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    SQL Courses, Computer Courses Trainin
  • SQL Courses

    SQL Courses

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    SQL Courses, Php Training Services, Ios Application Developmen
  • Implementing Data Warehouse Sql Server Course

    Implementing Data Warehouse Sql Server Course

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    This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft® SQL Server® 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services. Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform. Duration: 5 Days Pre-Requisite This course requires that you meet the following prerequisites: At least 2 years’ experience of working with relational databases, including: Designing a normalized database. Creating tables and relationships. Querying with Transact-SQL. Some exposure to basic programming constructs (such as looping and branching). An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable. Target Audinece This course is intended for database professionals who need to create and support a data warehousing solution. Primary responsibilities include: Implementing a data warehouse. Developing SSIS packages for data extraction, transformation, and loading. Enforcing data integrity by using Master Data Services. Cleansing data by using Data Quality Services. Upon Course Completion After completing this course, students will be able to: Describe data warehouse concepts and architecture considerations. Select an appropriate hardware platform for a data warehouse. Design and implement a data warehouse. Implement Data Flow in an SSIS Package. Implement Control Flow in an SSIS Package. Debug and Troubleshoot SSIS packages. Implement an ETL solution that supports incremental data extraction. Implement an ETL solution that supports incremental data loading. Implement data cleansing by using Microsoft Data Quality Services.
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