MCSE: Data Management and Analysis ( Development )
The Academy of South Florida offers the fastest, most effective method to learn the industry-standard, fundamental features of Microsoft SQL Server that have made Microsoft's premiere database solution a worldwide leader in data-driven business and application infrastructure.
With this SQL Server 2016 boot camp, you will gain valuable insight into the new, powerful capabilities that SQL Server 2016 adds to a database developer and administrator's solutions tool box.
MCSE: Data Management and Analysis certification covers everything from designing, installing, configuring, and maintaining a Microsoft Database environment, to implementing and troubleshooting database objects. This program covers all material and exams necessary to achieve an MCSA in Microsoft SQL Server 2016 Database Development and MCSE: Data Management and Analysis.
This 7-day boot camp is a combination of the following official Microsoft courses:
• 20761A: Querying Data with Transact SQL
(Course is available, Microsoft currently offers the exam only in Beta version... updates coming soon.)
• 20762A: Developing SQL Databases
(Course is available, Microsoft has not yet released the exam... updates coming soon.)
• 20465A: Designing Database Solutions for Microsoft SQL Server
(Course and exam available but only for 2014 SQL Server thus far...updates coming soon.)
This course provides students with the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server 2016. This course is the foundation for all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. This course helps people prepare for exam 70-761. This course provides students with the knowledge and skills to maintain a Microsoft SQL Server 2016 database. The course focuses on teaching individuals how to use SQL Server 2016 product features and tools related to maintaining a database. Also this course helps you prepare for the Exam 70-762. Database Developing and warehousing is a solution organizations use to centralize business data for reporting and analysis. This instructor-led course focuses on teaching individuals how to create a data warehouse with SQL Server 2016, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services. This course helps people prepare for exam 70-465.
After completing this course, students will be able to:
• Write SELECT queries
• Query multiple tables
• Use built-in functions
• Use subqueries
• Execute stored procedures
• Use set operators
• Implement error handling
• Implement transactions
• Use table expressions
• Sort and filter data
• Use window ranking, offset and aggregate functions
• Query SQL Server metadata
• Program with T-SQL
• Improve query performance
• Plan and install SQL Server.
• Describes the system databases, the physical structure of databases and the most common configuration options related to them.
• Explain the concept of the transaction log and SQL Server recovery models and implement different backup strategies available with SQL Server.
• Create SQL Server Backups.
• Restore SQL Server databases.
• Use the import/export wizards and explain how they relate to SSIS.
• Work with SQL Server security models, logins and users.
• Work with fixed server roles, user-defined server roles, fixed database roles and user-defined database roles.
• Work with permissions and the assignment of permissions.
• Work with SQL Server Audit.
• Work with SQL Server Agent, jobs and job history.
• Implement SQL Server agent security, proxy accounts and credentials.
• Configure database mail, alerts and notifications.
• Create database maintenance plans.
• Work with SQL Profiler and SQL Trace stored procedures.
• Introduce DMVs and the configuration of data collection.
• Work with Central Management Servers and Multi-Server queries, Virtualization of SQL Server and Data-Tier Applications.
• Troubleshoot SQL Server databases.
• 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 SSIS solution that supports incremental data warehouse loads and changing data.
• Integrate cloud data into a data warehouse ecosystem infrastructure.
• 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 information workers can consume data from the data warehouse
Before attending this course, students must have:
• Working knowledge of relational databases.
• Basic knowledge of the Microsoft Windows operating system and its core functionality.
Before attending this course, students should have:
• Basic understanding of virtualization technology (Classroom labs utilize virtual machines)