Querying Microsoft SQL Server 2012/2014

• Describe the basic architecture and concepts of Microsoft SQL Server 2014.
• Understand the similarities and differences between Transact-SQL and other computer languages.
• Write SELECT queries
• Query multiple tables
• Sort and filter data
• Describe the use of data types in SQL Server
• Modify data using Transact-SQL
• Use built-in functions
• Group and aggregate data
• Use subqueries
• Use table expressions
• Use set operators
• Use window ranking, offset and aggregate functions
• Implement pivoting and grouping sets
• Execute stored procedures
• Program with T-SQL
• Implement error handling
• Implement transactions

Administering Microsoft SQL Server 2012/2014 Databases

• Describe core database administration tasks and tools.
• Install and configure SQL Server 2014.
• Configure SQL Server databases and storage.
• Plan and implement a backup strategy.
• Restore databases from backups.
• Import and export data. Monitor SQL Server.
• Trace SQL Server activity.
• Manage SQL Server security.
• Audit data access and encrypt data.
• Perform ongoing database maintenance.
• Automate SQL Server maintenance with SQL Server Agent Jobs.
• Configure Database Mail, alerts and notifications.

Implementing a Data Warehouse with Microsoft SQL Server 2012/2014

• 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.
• Implement Master Data Services to enforce data integrity.
• Extend SSIS with custom scripts and components.
• Deploy and Configure SSIS packages.
• Describe how BI solutions can consume data from the data warehouse.

Implementing Data Models and Reports with Microsoft SQL Server

• Describe the components, architecture, and nature of a BI solution.
• Create a multidimensional database with Analysis Services.
• Implement dimensions in a cube.
• Implement measures and measure groups in a cube.
• Use MDX Syntax.
• Customize a cube.
• Implement a Tabular Data Model in SQL Server Analysis Services.
• Use DAX to enhance a tabular model.
• Create reports with Reporting Services.
• Enhance reports with charts and parameters.
• Manage report execution and delivery.
• Implement a dashboard in SharePoint Server with PerformancePoint Services.
• Use Data Mining for Predictive Analysis.

Designing Business Intelligence Solutions with Microsoft SQL Server

• Describe key features and benefits of self-service BI.
• Use SQL Server Reporting Services to implement a self-service reporting solution.
• Use PowerPivot in Microsoft Excel to create analytical data models.
• Use Power Query in Microsoft Excel to import data into a data model.
• Use Power View in Microsoft Excel to create interactive data visualizations.
• Use Power Map in Microsoft Excel to create geographic data visualizations.
• Use Microsoft SharePoint Server to implement collaborative self-service BI solutions.
• Provision and use a Windows Azure HDInsight cluster for Big Data analysis.
• Use Pig and Hive to analyze big data in Windows Azure HDInsight.
• Design and implement Big Data processes to support self-service BI.