This thread is locked. You can follow the question or vote as helpful, but you cannot reply to this thread. I have the same question Report abuse. Details required :. Cancel Submit. All the best,. Save Table of contents. Audience profile The primary audience for this course is individuals who administer and maintain SQL Server databases and are responsible for optimal performance of SQL Server instances that they manage.
Job role: Developer. Features: none. Find a learning partner. Browse All Sessions. Skills gained Describe the high level architectural overview of SQL Server and its various components. Describe the SQL Server execution model, waits and queues. Describe architectural concepts and best practices related to data files for user databases and TempDB. Describe architectural concepts and best practices related to Concurrency, Transactions, Isolation Levels and Locking. Describe architectural concepts of the Optimizer and how to identify and fix query plan issues.
Describe architectural concepts, troubleshooting scenarios and best practices related to Plan Cache. Describe architectural concepts, troubleshooting strategy and usage scenarios for Extended Events. Explain data collection strategy and techniques to analyze collected data.
Understand techniques to identify and diagnose bottlenecks to improve overall performance. Prerequisites In addition to their professional experience, students who attend this training should already have the following technical knowledge: Basic knowledge of the Microsoft Windows operating system and its core functionality.
For example, if a job requires experience with Oracle databases, employers may request that applicants have a certification from Oracle.
A data-related certification may position you to compete in what is projected to be a heavily in-demand industry. The field of data science is expected to be one of the fastest growing in coming years. The US Bureau of Labor Statistics project a much faster than average growth rate for computer and information research scientists from to , at a rate of 22 percent [ 2 ]. SQL-related certifications can prepare you for several database professional roles like database administrator, database engineer , SQL developer, and data analyst.
In addition to developing proficiency in SQL, you can also learn job-ready skills like Tableau, R programming, spreadsheets, and data visualization. Getting certified in SQL often means taking a course and passing an exam from a database vendor or other provider.
In general, you can learn enough SQL to start working with databases in two to three weeks. How long it takes to develop mastery will depend on your own personal goals and learning style. Learning any new language can be challenging, but SQL is generally considered among the easier to learn. Its syntax mimics natural English in many ways, making it easier to read and remember.
Read up on some tips for rising to the challenge of learning this and other data analytics skills. What Does a Data Analyst Do? A Career Guide. What Is Python Used For? Data Analyst vs. What Does a Business Analyst Do?
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