More than 19 hours of video instruction to help you learn and master the skills necessary to pass Exam 70-762: Developing SQL Databases, required for the Microsoft Certified Solutions Associate (MCSA): SQL 2016 Database Development certification.
Through detailed presentations and hand-on demos, this complete video course guides you through all the concepts and skills you’ll need to manage data effectively with SQL Server 2016 and prepare for Microsoft Exam 70-762 toward your MCSA certification. SQL Server expert and Microsoft Certified Trainer Marilyn White presents nearly 20 hours of video lessons fully aligned with Microsoft’s official exam topics, including 69 video lab walk-through demos with downloadable .sql files based on the WideWorldImporters and AdventureWorks2016CTP3 Databases‚ÄìMicrosoft’s sample databases for SQL Server 2016 for extensive realistic practice.
Design and Implement a Relational Database Schema
Design and Implement Indexes
Design and Implement Views
Implement Columnstore Indexes
Ensure Data Integrity with Constraints
Create Stored Procedures
Create Triggers and User-Defined Functions
Manage Isolation Levels
Optimize Concurrency and Locking Behavior
Implement Memory-Optimized Tables and Native Stored Procedures
Optimize Statistics and Indexes
Analyze and Troubleshoot Query Plans
Manage Performance for Database Instances
Monitor and Trace SQL Server Baseline Performance Metrics
About the Instructor
Marilyn White has more than 20 years of experience in Information Technology and has worked with Microsoft Server products as a Microsoft Certified Trainer (MCT) for more than 18 years, spending most of that time specializing in SQL Server and SharePoint products. Besides working in the industry she holds Microsoft certifications in server and database development and administration. She is the owner of White & White Consulting, a New Jersey-based consultancy specializing in systems training and solutions. With a master's degree in education and a passion for learning, Marilyn began teaching computer science in New Jersey's schools and colleges. While teaching, she decided to branch out to both the government and private sectors, specializing in designing database, programming, and systems solutions to support the growing needs of her customers.
She has been training and implementing Microsoft technologies for customers throughout North America. An early achiever on both the Windows, SQL Server, and SharePoint platforms, she is often called upon to speak on Microsoft solutions. She has presented at Microsoft launch events for SQL Server 2005 and Visual Studio 2005. From 2006 through 2012 she was a Technical Learning Guide at TechEd North America (NA).
In addition to authoring MCSA Querying Data with Transact-SQL (Exam 70-761) LiveLessons, Marilyn has authored three Microsoft certification study guides on SQL Server and SharePoint.
When not in the field‚Äìor on the road, or in the air‚Äìshe is creating courseware solutions. When home, she enjoys attending concerts and plays, reading, listening to classical music, and the company of her husband and cats, Holly and Sequel.
Learn How To
Design and improve tables and schemas based on business requirements
Determine the most efficient data types to use and how to secure them
Design, implement, and improve indexes using best practices
Design and implement view structures and configure partitioned and indexed views
Design and implement clustered and nonclustered columnstore indexes
Create and manage table and foreign key constraints, learn how they interact with Transact-SQL and DML statements, and create and manage PRIMARY KEY constraints
Create, implement, and manage stored procedures
Create, implement, and manage DML, DDL, Logon, AFTER, and INSTEAD OF triggers
Create and implement scalar-valued and table-valued user-defined functions as well as deterministic and nondeterministic functions
Manage database concurrency by understanding and implementing transactions, isolation levels, locking behavior, memory-optimized tables, and native stored procedures
Increase SQL Server database performance through optimized statistics and indexes
Troubleshoot query plans using extended events and traces, SQL Server Profiler, Query Store, and Azure SQL Database Performance Insight
Monitor and optimize database performance through a variety of best practices and available tools
Who Should Take This Course
For all working and aspiring database professionals in Microsoft SQL Server environments, especially those pursuing the Microsoft Certified Solutions Associate (MCSA): SQL Server 2016 Database Development certification.
Course Requirements Requires a basic working knowledge of databases.
In Lesson 1, you learn how to design tables and schemas based on business requirements. We use normalization to improve the design of tables. Next, we create tables and determine the most efficient data types to use. Finally, we extend security to data types by using dynamic data masking.
In Lesson 2, you learn how to design and implement new indexes based on provided tables. We distinguish between indexed columns and included columns. Next, we implement clustered index columns based on query plans. Then, we recommend new indexes based on query plans. Finally, we analyze query plans for indexing improvements.
In Lesson 3, you learn how to design and implement a view structure to select data based on user and business requirements. We identify the steps necessary to design an updatable view. Next, we analyze the effects of DML statements using the view object. Then, we implement partitioned views. Finally, we configure and implement indexed views.
In Lesson 4, you learn to determine use cases that support the use of columnstore indexes. We identify proper use of clustered and nonclustered columnstore indexes. Next, we design standard nonclustered indexes in conjunction with clustered columnstore indexes. Finally, we implement columnstore index maintenance.
In Lesson 5, you learn to define table and foreign key constraints to enforce business rules. We write Transact-SQL statements to add constraints to tables. Next, we identify results of Data Manipulation Language (DML) statements given existing tables and constraints. Finally, we identify proper use of PRIMARY KEY constraints.
In Lesson 6, you learn how to design stored procedure components and structure based on business requirements. We implement input and output parameters. Next, we implement table-valued parameters and implement return codes. Then, we streamline existing stored procedure logic. Finally, we implement error handling and transaction control logic within stored procedures.
In Lesson 7, you learn how to design trigger logic based on business requirements. We determine when to use Data Manipulation Language (DML) triggers, Data Definition Language (DDL) triggers, or logon triggers. Next, we recognize results based on execution of AFTER or INSTEAD OF triggers. Then we design scalar-valued and table-valued user-defined functions based on business requirements. Finally, we identify differences between deterministic and nondeterministic functions.
In Lesson 8, you learn to identify DML statement results based on transaction behavior. We recognize differences between and identify usage of explicit and implicit transactions. Next, we implement savepoints within transactions. Finally, we determine the role of transactions in high-concurrency databases.
In Lesson 9, you identify differences between Read Uncommitted, Read Committed, Repeatable Read, Serializable, and Snapshot isolation levels. We define results of concurrent queries based on isolation level. Finally, we identify the resource and performance impact of given isolation levels.
In Lesson 10, you learn how to troubleshoot locking issues. We identify lock escalation behaviors. Then, we capture and analyze deadlock graphs. Finally, we identify ways to remediate deadlocks.
In Lesson 11, you define use cases for memory-optimized tables versus traditional disk-based tables. We optimize performance of in-memory tables by changing durability settings. Next, we determine best case usage scenarios for natively compiled stored procedures Finally, we enable collection of execution statistics for natively compiled stored procedures.
In Lesson 12, you determine the accuracy of statistics and the associated impact to query plans and performance. We design statistics maintenance tasks. Next, we use dynamic management objects to review current index usage and identify missing indexes. Finally, we consolidate overlapping indexes.
In Lesson 13, you capture query plans using extended events and traces. We identify poorly performing query plan operators. Next, we create efficient query plans using Query Store. Then, we compare estimated and actual query plans and related metadata. Finally, we configure Azure SQL Database Performance Insight.
In Lesson 14, you manage database workload in SQL Server. We design and implement Elastic Scale for Azure SQL Database. Next, we select an appropriate service tier or edition. Then, we optimize database file and tempdb configuration. After that, we optimize memory configuration. Then, we monitor and diagnose scheduling and wait statistics using dynamic management objects. In addition, we troubleshoot and analyze storage, IO, and cache issues. Finally, we monitor Azure SQL Database query plans.
In Lesson 15, you monitor operating system and SQL Server performance metrics. We compare baseline metrics to observed metrics while troubleshooting performance issues. Next, we identify differences between performance monitoring and logging tools, such as perfmon and dynamic management objects. Then, we monitor Azure SQL Database performance. After that, we determine best practice use cases for extended events. Then, we distinguish between Extended Events targets. In addition, we compare the impact of Extended Events and SQL Trace. Finally, we define differences between Extended Events Packages, Targets, Actions, and Sessions.
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