This course covers the essential topics necessary for working with Microsoft SQL Server. You will understand the various scenarios and techniques to write queries and build and administer databases, along with delving into advanced SQL topics that are in great demand in the industry.
This course will show you why Hadoop is one of the best tools to work with big data. With the help of some real-world data sets, you will learn how to use Hadoop and its distributed technologies, such as Spark, Flink, Pig, and Flume, to store, analyze, and scale big data.
This course on MongoDB is for absolute beginners and provides an interactive learning experience that reflects the most in-demand skills. The content will help you understand the concepts and methodology with regards to MongoDB in an effortless way. The strong basic understanding you gain initially will help you move toward learning more advanced concepts.
The course will help you create amazing interactive dynamic applications that can synchronize data between your database and front-end HTML codes. You need to have basic coding knowledge and a basic understanding of HTML, JavaScript (DOM), and jQuery to take up this course.
Get to grips with real-time stream processing using PySpark as well as Spark structured streaming and apply that knowledge to build stream processing solutions. This course is example-driven and follows a working session-like approach.
This course will help you explore the world of Big Data technologies and frameworks. You will develop skills that will help you to pick the right Big Data technology and framework for your job and build the confidence to design robust Big Data pipelines.
This course will help you to get familiarized with the concepts of MySQL Server and MySQL Workbench needed for database development and management. From basic SQL queries and statements to handling relationships and aggregate functions, you will learn all that you need with the help of real-time activities.