Learn to fetch, manipulate, and export data into/from the Microsoft SQL Server!
If you are an aspiring Data Scientist or if you want to be in the Data Science field, it’s not just about analysing and making predicting models. In order to do the former part, you first know how to extract data from the database in order to analyse it. If you are lacking such skills, then you are just relying on someone else to provide data to you so you can analyse and make models. Why not access the database by yourself?
That’s why we want you to be enriched in the Relational Database Management System, MS SQL, service provided by Microsoft. Since, nowadays the whole world is data driven, therefore, a Data Scientist is required to know how to extract, manipulate, and query a database.
Why is Microsoft SQL as a DBMS tool in demand?
Easy Configuration: Working with SQL is very easy. Installation process to different operations on data is really smooth to perform due to its less complex interface.
Better Security: MS SQL provides better security. It comes in handy when you have a lot of data from your clients if you are working for some particular company and want your data private. It just allows authorized personal access to the database.
Data Storage Optimization: MS SQL allows you to have data storage of itself rather than choosing another software or database. In this way it saves a lot of time and helps you to complete your work faster.
Structured Data: MS SQL allows you to store data in the form of database objects known as tables. The data stored is well structured and optimized for the user convenience.
Performance Enhancement: MS SQL also enhances the performance of execution of data. It has a feature of data compression which compresses your data in the required format to enhance the performance of your database.
Big Data collaboration: MS SQL also allows you to collaborate with Big Data tools in order to access, manipulate and prepare the data.
Some of the features included in this course are:
Difference between Oracle and SQL Server
120/200 Seats Booked