Hudson Courses Limited

MCSA Certification Bundle With 2 Exams: SQL 2016 Database Development

Hudson Courses Limited
Online
  • Hudson Courses Limited

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Wichtige informationen

Tipologie Kurs
Methodologie Online
Dauer 12 Months
Online Campus Ja
Versendung von Lernmaterial Ja
Beratungsservice Ja
Persönlicher Tutor Ja
Virtueller Unterricht Ja
  • Kurs
  • Online
  • Dauer:
    12 Months
  • Online Campus
  • Versendung von Lernmaterial
  • Beratungsservice
  • Persönlicher Tutor
  • Virtueller Unterricht
Beschreibung

This Emagister course has just been added to the newest list of courses in database development and management. It is one of the courses found in Hudson Courses Limited - Leaders in learning, one of the best centres regarding IT sector.

What marks this course apart is not only the hability to certify a Microsoft certificate, but also to do it from all over the world - you only need Internet and the textbook that comes with the course.

You will learn to manage isolation levels, to implement columnstore indexes, Optimize database objects on a SQL infrastructure. Furthermore, you can span multiple versions of a single technology, whether it is on-premises or in the cloud. Emagister.co.uk offers you opportunities at the palm of your hand!

Einrichtungen (1)
Wo und wann
Beginn Lage

Online
Beginn
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Was lernen Sie in diesem Kurs?

Transactions
Server
Database Management
Database
SQL
Database Administration
Database training
MCSA training
MCSA
Data Protection
Statistics
Primary
Design
Logic
Technology
Writing
Data Management
Security Management
Programming
SQL Database

Themenkreis

Chapter 1. Manage data with Transact-SQLSkill 1.1: Create Transact-SQL SELECT queries• Understanding the foundations of T-SQL• Understanding logical query processing• Getting started with the SELECT statement• Filtering data with predicates• Sorting data• Filtering data with TOP and OFFSET-FETCH• Combining sets with set operatorsSkill 1.2: Query multiple tables by using joins• Cross joins• Inner joins• Outer joins• Queries with composite joins and NULLs in join columns• Multi-join queriesSkill 1.3: Implement functions and aggregate data• Type conversion functions• Date and time functions• Character functions• CASE expressions and related functions• System functions• Arithmetic operators and aggregate functions• Search arguments• Function determinismSkill 1.4: Modify data• Inserting data• Updating data• Deleting data• Merging data• Using the OUTPUT option• Impact of structural changes on data• Chapter summary• Thought experiment• Thought experiment answerChapter 2. Query data with advanced Transact-SQL componentsSkill 2.1: Query data by using subqueries and APPLY• Subqueries• The APPLY operatorSkill 2.2: Query data by using table expressions• Table expressions, described• Table expressions or temporary tables?• Derived tables• Common table expressions• Views and inline table-valued functionsSkill 2.3: Group and pivot data by using queries• Writing grouped queries• Pivoting and Unpivoting Data• Using Window FunctionsSkill 2.4: Query temporal data and non-relational data• System-versioned temporal tables• Query and output XML data• Query and output JSON data• Chapter summary• Thought experiment• Thought experiment answerChapter 3. Program databases by using Transact-SQLSkill 3.1: Create database programmability objects by using Transact-SQL• Views• User-defined functions• Stored proceduresSkill 3.2: Implement error handling and transactions• Understanding transactions• Error handling with TRY-CATCHSkill 3.3: Implement data types and NULLs• Working with data types• Handling NULLs• Chapter summary• Thought experiment• Thought experiment answer

Chapter 2. Query data with advanced Transact-SQL componentsSkill 2.1: Query data by using subqueries and APPLY• Subqueries• The APPLY operatorSkill 2.2: Query data by using table expressions• Table expressions, described• Table expressions or temporary tables?• Derived tables• Common table expressions• Views and inline table-valued functionsSkill 2.3: Group and pivot data by using queries• Writing grouped queries• Pivoting and Unpivoting Data• Using Window FunctionsSkill 2.4: Query temporal data and non-relational data• System-versioned temporal tables• Query and output XML data• Query and output JSON data• Chapter summary• Thought experiment• Thought experiment answerChapter 3. Program databases by using Transact-SQLSkill 3.1: Create database programmability objects by using Transact-SQL• Views• User-defined functions• Stored proceduresSkill 3.2: Implement error handling and transactions• Understanding transactions• Error handling with TRY-CATCHSkill 3.3: Implement data types and NULLs• Working with data types• Handling NULLs• Chapter summary• Thought experiment• Thought experiment answer

Chapter 1. Design and implement database objectsSkill 1.1: Design and implement a relational database schema• Designing tables and schemas based on business requirements• Improving the design of tables by using normalization• Writing table create statements• Determining the most efficient data types to useSkill 1.2: Design and implement indexes• Design new indexes based on provided tables, queries, or plans• Distinguish between indexed columns and included columns• Implement clustered index columns by using best practices• Recommend new indexes based on query plansSkill 1.3: Design and implement views• Design a view structure to select data based on user or business requirements• Identify the steps necessary to design an updateable view• Implement partitioned views• Implement indexed viewsSkill 1.4: Implement columnstore indexes• Determine use cases that support the use of columnstore indexes• Identify proper usage of clustered and non-clustered columnstore indexes• Design standard non-clustered indexes in conjunction with clustered columnstore indexes• Implement columnstore index maintenance• Chapter summary• Thought experiment• Thought experiment answerChapter 2. Implement programmability objectsSkill 2.1 Ensure data integrity with constraints• Define table and foreign-key constraints to enforce business rules• Write Transact-SQL statements to add constraints to tables• Identify results of Data Manipulation Language (DML) statements given existing tables and constraints• Identify proper usage of PRIMARY KEY constraintsSkill 2.2 Create stored procedures• Design stored procedure components and structure based on business requirements• Implement input and output parameters• Implement table-valued parameters• Implement return codes• Streamline existing stored procedure logic• Implement error handling and transaction control logic within stored procedures• Skill 2.3 Create triggers and user-defined functions• Design trigger logic based on business requirements• Determine when to use Data Manipulation Language (DML) triggers, Data Definition Language (DDL) triggers, or logon triggers• Recognize results based on execution of AFTER or INSTEAD OF triggers• Design scalar-valued and table-valued user-defined functions based on business requirements• Identify differences between deterministic and non-deterministic functions• Chapter summary• Thought Experiment• Though Experiment AnswerChapter 3. Manage database concurrencySkill 3.1: Implement transactions• Identify DML statement results based on transaction behavior• Recognize differences between and identify usage of explicit and implicit transactions• Implement savepoints within transactions• Determine the role of transactions in high-concurrency databasesSkill 3.2: Manage isolation levels• Identify differences between isolation levels• Define results of concurrent queries based on isolation level• Identify the resource and performance impact of given isolation levelsSkill 3.3: Optimize concurrency and locking behavior• Troubleshoot locking issues• Identify lock escalation behaviors• Capture and analyze deadlock graphs• Identify ways to remediate deadlocksSkill 3.4: Implement memory-optimized tables and native stored procedures• Define use cases for memory-optimized tables• Optimize performance of in-memory tables• Determine best case usage scenarios for natively compiled stored procedures• Enable collection of execution statistics for natively compiled stored procedures• Chapter summary• Thought experiment• Thought experiment answersChapter 4. Optimize database objects and SQL infrastructureSkill 4.1: Optimize statistics and indexes• Determine the accuracy of statistics and the associated impact to query plans and performance• Design statistics maintenance tasks• Use dynamic management objects to review current index usage and identify missing indexes• Consolidate overlapping indexesSkill 4.2: Analyze and troubleshoot query plans• Capture query plans using extended events and traces• Identify poorly performing query plan operators• Compare estimated and actual query plans and related metadata• Configure Azure SQL Database Performance InsightSkill 4.3: Manage performance for database instances• Manage database workload in SQL Server• Design and implement Elastic Scale for Azure SQL Database• Select an appropriate service tier or edition• Optimize database file and tempdb configuration• Optimize memory configuration• Monitor and diagnose schedule and wait statistics using dynamic management objects• Troubleshoot and analyze storage, IO, and cache issues• Monitor Azure SQL Database query plansSkill 4.4: Monitor and trace SQL Server baseline performance metrics• Monitor operating system and SQL Server performance metrics• Compare baseline metrics to observed metrics while troubleshooting performance issues• Identify differences between performance monitoring and logging tools• Monitor Azure SQL Database performance• Determine best practice use cases for extended events• Distinguish between Extended Events targets• Compare the impact of Extended Events and SQL Trace• Define differences between Extended Events Packages, Targets, Actions, and Sessions• Chapter summary• Thought experiment• Thought experiment answer