Hudson Courses Limited

MCSE Certification Bundle With 3 Exams: Data Management And Analytics (SQL 2016)

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

The Microsoft Certified Solution Expert (MCSE) certification focuses on the ability to design and build technology solutions, which may include integrating multiple technology products, and span multiple versions of a single technology, whether on-premises or in the cloud.


An individual can choose to become a certified expert in one or several Microsoft technology specialisations. This certification bundle is ‘Data Management and Analytics (SQL 2016)’ focused.


By gaining the MCSE certification from this course, you can demonstrate your broad skill sets in SQL administration and development, building enterprise-scale data solutions, and leveraging business intelligence data – both on-premises and in cloud environments.

The MCSE Certification in Data Management and Analytics is the replacement to the MCSE Business Intelligence and MCSE Data Platform certifications.

Einrichtungen (1)
Wo und wann
Beginn Lage

Online
Beginn
Lage
Online

Was lernen Sie in diesem Kurs?

Monitoring
Transactions
Server
Computer Programming
IT
Database
SQL
Database training
MCSE training
Statistics
Design
Admninistration
Technology
Data Management
Business Intelligence
SQL Database
MCSE
MCSE Certification
IT Consultant
Server Administrator

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 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

Module 1: Encryption1.1 Introduction1.2 Exam Objectives and Lab Setup1.3 Restoring AdventureWorks 2016 Database Lab Part 11.4 Restoring AdventureWorks 2016 Database Lab Part 21.5 Restoring AdventureWorks 2016 Database Lab Part 31.6 Configuring Encryption1.7 Cell-Level Encryption Part 11.8 Cell-Level Encryption Part 21.9 Cell-Level Encryption Lab Part 11.10 Cell-Level Encryption Lab Part 21.11 Transparent Data Encryption1.12 Transparent Data Encryption Lab1.13 Always Encrypted1.14 Always Encrypted Lab1.15 Backup Encryption1.16 Backup Encryption Lab1.17 Connection Encryption1.18 Encryption TroubleshootingModule 2: Configure Data Access and Permissions2.1 Create and Maintain Users2.2 Create and Maintain Users Lab Part 12.3 Create and Maintain Users Lab Part 22.4 Configure and Maintain Custom Roles2.5 Configure and Maintain Custom Roles Lab2.6 Manage Database Object Permissions Part 12.7 Manage Database Object Permissions Part 22.8 Manage Database Object Permissions Lab Part 12.9 Manage Database Object Permissions Lab Part 22.10 Configuring User Options for Azure SQL Database2.11 Configuring Row-Level Security2.12 Configuring Dynamic Data Masking2.13 Configuring Dynamic Data Masking LabModule 3. Configure Auditing3.1 Manage a SQL Server Audit3.2 Manage a SQL Server Audit Lab3.3 Query the SQL Server Audit Log3.4 Manage an Azure SQL Server AuditModule 4: Develop a Backup Strategy4.1 Backup Types Part 14.2 Backup Types Part 24.3 Manage, Backup, and Restore Databases Lab Part 14.4 Manage, Backup, and Restore Databases Lab Part 24.5 Backup Very Large Databases Part 14.6 Backup Very Large Databases Part 24.7 Backup Very Large Databases Part 34.8 Backup Very Large Databases Part 44.9 Managing Very Large Databases Lab Part 14.10 Managing Very Large Databases Lab Part 24.11 Managing Very Large Databases Lab Part 34.12 Configuring Alerting for Failed Backups4.13 Configuring Alerting for Failed Backups Lab Part 14.14 Configuring Alerting for Failed Backups Lab Part 24.15 Back up Databases to Azure4.16 Manage Transaction Log Backups4.17 Configuring Database Recovery Models4.18 Set Database Recovery Model Lab4.19 Configuring Backup Automation4.20 Configuring Backup Automation LabModule 5: Restore Databases5.1 Perform Piecemeal Restores5.2 Restore Databases Lab Part 15.3 Restore Databases Lab Part 25.4 Restore Databases Lab Part 35.5 Perform Page Recovery5.6 Perform Point-in-Time Recovery5.7 Perform Point-in-Time Recovery Lab5.8 Restore File Groups5.9 Develop a Plan to Automate and Test RestoresModule 6: Manage Database Integrity6.1 Implement Database Consistency Checks6.2 Implement Database Consistency Checks Lab6.3 Identify Database Corruption6.4 Recover From Database Corruption

Module 1: Deploy a Microsoft Azure SQL Database1.1 Introduction1.2 Introducing the Azure SQL Database Part 11.3 Introducing the Azure SQL Database Part 21.4 Setting Up Azure Lab1.5 Chose a Service Tier Part 11.6 Chose a Service Tier Part 21.7 Create Servers and Databases Part 11.8 Creating a Azure SQL Server and Database Lab1.9 Create Servers and Databases Part 21.10 Create Servers and Databases Part 31.11 Connecting SSMS to Azure SQL Lab Part 11.12 Connecting SSMS to Azure SQL Lab Part 21.13 Create a Sysadmin Account1.14 Creating Azure SQL Logins and Users Lab1.15 Configuring Elastic Pools1.16 Creating and configuring an Elastic Pool LabModule 2: Plan for SQL Server Installation2.1 Plan for an IaaS or On-Premises Deployment Part 12.2 Plan for an IaaS or On-Premises Deployment Part 22.3 Select the Appropriate Size for a Virtual Machine2.4 Plan Storage Pools Based on Performance Requirements Part 12.5 Plan Storage Pools Based on Performance Requirements Part 22.6 Evaluate Best Practices for Installation2.7 Design a Storage Layout for a SQL Server Virtual MachineModule 3: Deploy SQL Server Instances3.1 Deploy a SQL Server Instance in IaaS and On-Premises3.2 Restoring AdventureWorks 2016 Database Lab3.3 Provision an Azure Virtual Machine to Host a SQL Server Instance3.4 Provisioning an Azure Virtual Machine to Host a SQL Server Lab3.5 Manually Install SQL Server on an Azure Virtual Machine3.6 Installing SQL 2016 Lab Part 13.7 Installing SQL 2016 Lab Part 23.8 Automate the Deployment of SQL Server Databases3.9 Exploring Azure SQL Database Automation Lab3.10 Deploy SQL Server by Using Templates3.11 Managing JSON Templates LabModule 4: Deploy SQL Server Databases to Azure Virtual Machines4.1 Migrate an On-Premises SQL Server Database to an Azure Virtual Machine4.2 Migrate an On-Premises SQL Server Database to an Azure Virtual Machine Lab Part 14.3 Migrate an On-Premises SQL Server Database to an Azure Virtual Machine Lab Part 24.4 Migrate an On-Premises SQL Server Database to an Azure Virtual Machine Lab Part 34.5 Migrate an On-Premises SQL Server Database to an Azure Virtual Machine Lab Part 44.6 Generate Benchmark Data for Performance Needs4.7 Generating Benchmark Data Lab Part 14.8 Generating Benchmark Data Lab Part 24.9 Perform Performance Tuning on Azure IaaS4.10 Perform Performance Tuning on Azure IaaS Lab Part 14.11 Perform Performance Tuning on Azure IaaS Lab Part 24.12 Support Availability Sets in Azure Part 14.13 Support Availability Sets in Azure Part 24.14 Manage High Availability Lab Part 14.15 Manage High Availability Lab Part 24.16 Manage High Availability Lab Part 34.17 Manage High Availability Lab Part 44.18 Manage High Availability Lab Part 5Module 5: configure Secure Access to Microsoft Azure SQL Databases5.1 Configuring Firewall Rules5.2 Creating Firewall Rules Lab5.3 Configuring Always Encrypted for Azure SQL Database5.4 Implementing Always Encrypted Lab5.5 Configuring Cell-Level Encryption5.6 Cell-Level Encryption Lab5.7 Configuring Dynamic Data Masking5.8 Dynamic Data Masking Lab5.9 Configuring Transparent Data Encryption (TDE)5.10 Transparent Data Encryption (TDE) LabModule 6: Configure SQL Server Performance Settings6.1 Configuring SQL Performance Settings6.2 Configuring SQL Performance Settings Lab6.3 Configuring Max Server Memory6.4 Configuring SQL Memory Lab6.5 Configuring Database Performance Settings6.6 Configuring Database Performance Settings Lab6.7 Configuring Operators and Alerts6.8 Configuring alerts in Azure and On-Premise SQL Server LabModule 7: Manage SQL Server Instances7.1 Create Databases7.2 Creating Databases Lab7.3 Manage Files and File Groups7.4 Managing Files and File Groups Lab7.5 Manage System Database Files7.6 Manage System Database Files Lab7.7 Configuring tempDB7.8 Configuring tempDB LabModule 8: Manage SQL Storage8.1 Manage SMB File Shares8.2 Manage SMB File Shares Lab8.3 Manage Stretch Databases8.4 Configuring Azure Storage8.5 Change Service Tiers8.6 Change Service Tiers Lab Part 18.7 Review Wait Statistics8.8 Manage Storage Pools8.9 Recover from Failed Storage8.10 Managing Storage Lab Part 18.11 Managing Storage Lab Part 2Module 9: Perform Database Maintenance9.1 Monitoring Tools9.2 Using Monitoring Tools Lab Part 19.3 Using Monitoring Tools Lab Part 29.4 Azure Performance Tuning9.5 Automate Maintenance Tasks9.6 Update Statistics and Indexes9.7 Update Statistics and Indexes Lab Part 19.8 Update Statistics and Indexes Lab Part 29.9 Verify Database Integrity9.10 Verify Database Integrity Lab9.11 Recover from Database Corruption9.12 Recover from Database Corruption Lab9.13 Conclusion

1. Design and Implement a Data Warehouse2. Extract, Transform, and Load Data3. Integrate Solutions with Cloud Data and Big Data4. Build Data Quality Solutions

Zusätzliche Informationen

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