Overview
COURSE DESCRIPTION
SQL Server 2017 is the start of the new annual release strategy by Microsoft. SQL developers no longer have to wait two or three years for enhancements. See what’s new and notable in the 2017 release. See the new Linux compatibility in action, as we show how to install SQL Server on Ubuntu, and learn how to use the machine learning services package, which includes R and Python scripting. Then find out how to use graph databases to model many-to-many relationships as nodes and edges. Adam also reviews the smaller enhancements like automatic query performance tuning and the new dynamic management views
Audience
This course is for just about anyone responsible for the performance of the system. Database administrators, certainly, are targeted because they’re responsible for setting up the systems, creating the infrastructure, and monitoring it over time. Developers are too, because who else is going to generate all the well-formed and highly performant T-SQL code Database developers, more than anyone, are the target audience, if only because that’s what I do for work. Anyone who has the capability to write T-SQL, design tables, implement indexes, or manipulate server settings on the SQL Server system is going to need this course/tutorial to one degree or another. Therefore
Who should take up this MS SQL certification training course?
- Anyone without any prior SQL knowledge
- Software Developers and IT Professionals
- SQL and Database Administrators
- Project Managers
- Business Analysts and Managers
- Business Intelligence Professionals
- Big Data and Hadoop Professionals
- Those aspiring for a career in SQL Development
Prerequisites
There are no specific prerequisites for taking up this SQL course. A basic knowledge of relational DBMS can be helpful for knowing all about MS SQL Server.
Topics include:
- Run Sql Server on Linux
- R and Python scripting
- How to install SQL Server on Ubuntu
- Execute External Python Scripts
- Other Enhancements and additions in SQL Server 2017
- What is the graph database
- Online Indexing
- The new DMV (Dynamic Management Views
- Running SQL Server in on Linux
Course Features
- Lectures 17
- Quizzes 0
- Duration 60 hours
- Skill level All levels
- Language English
- Students 225
- Certificate No
- Assessments Yes