Learning paths to gain the skills needed to become certified. Learning paths are not yet available for this exam. As such, the primary target audience for this course is: Database Administrators, Database Developers and BI professionals.. This certification demonstrates your skills and breakthrough insights in developing and maintaining the next wave of mission-critical environments. See two great offers to help boost your odds of success. Review and manage your scheduled appointments, certificates, and transcripts.
Learn more about requesting an accommodation for your exam. Pricing is subject to change without notice. Pricing does not include applicable taxes. Please confirm exact pricing with the exam provider before registering to take an exam. This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING.
This module introduces T-SQL expressions which return a valid relational table, typically for further use in the query. The module discusses views, derived tables, common table expressions and inline table-valued functions. This module introduces window functions including ranking, aggregate and offset functions. Much of this functionality is new to SQL Server This module introduces the use of existing stored procedures in a T-SQL querying environment.
This module provides a basic introduction to T-SQL programming concepts and objects. It discusses batches, variables, control of flow elements such as loops and conditionals, how to create and execute dynamic SQL statements, and how to use synonyms.
This module introduces the use of error handlers in T-SQL code. It will introduce the difference between compile errors and run-time errors, and will cover how errors affect batches. This module introduces the concepts of transaction management in SQL Server. This module presents several key guidelines for writing well-performing queries, as well as ways to monitor the execution of your queries and their impact on Microsoft SQL Server.
SQL Server provides access to structured metadata by using a variety of mechanisms, such as system catalog views, system functions, dynamic management objects, and system stored procedures. In this module, you will learn how to write queries to return system metadata using these mechanisms. Skip to main content. This browser is no longer supported. Download Microsoft Edge More info. Contents Exit focus mode. Save Table of contents. Job role: Database Administrator.
Features: none. Find a learning partner. Browse All Sessions. Understand the similarities and differences between Transact-SQL and other computer languages.
Prerequisites Working knowledge of relational databases. Learn more. Data loading and migration. Bulk Copy Program Use the Bulk Copy Program command-line utility to easily copy data between an instance of SQL Server and a data file in a user-specified format, import a large number of new rows into SQL Server tables, or export data out of tables into data files. Data science tools and services. Python Tools Editing, debugging, interactive development for Python apps, using familiar frameworks including Django and Flask.
View Python tools. R Tools R is a highly extensible language and environment for statistical computing and graphics. View R tools. F F is well-suited to machine learning because of its efficient execution, succinct style, data access capabilities and scalability. Learn about F.
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