Most organisations have the need for Big Data techniques today. Throughout the world, a huge volume of data is gradually receiving noticeable interest as organisations across verticals like utilities, retail, media, pharmaceuticals, vitality, and others are grappling to understand the most current IT idea - Big Data. This is also the reason why training and certification in Big Data have become so popular in the recent years.
The Big Data course consists of 9 modules. Each module is a course in itself, and you can get a Microsoft certificate (priced at $99) for each of them individually. The Microsoft certificate is optional. You will learn how the program works and also get to learn basic data fundamentals. You will understand how to connect and visualise your data with Microsoft Power BI. Additionally, you will explore the tools in Excel that enable the analysis of large volumes of data, with improved visualisations and more sophisticated business logic. You will learn how to query and modify data in SQL Server or Azure SQL and also learn programming with Transact-SQL. After learning this module you will understand how to use Azure Data Lake technologies to store and process big data in the cloud. You will learn how to use Microsoft Azure technologies to process real-time data in the cloud. This course also has 4 hours of live lectures every Saturday and the details will be communicated to the learners on their registered email ids.
Batch Start Date: 20th January 2020
Batch End Date: 15th March 2020
Big Data certification helps an individual quicken vocational development while being in employment in an organisation. As the world becomes increasingly data-driven, organisations have begun to depend on these big data magicians to create their magic with numbers and help their respective organisations to progress.This course helps you build big data solutions for batch and real-time stream processing using Azure managed services and open source systems like Hadoop and Spark.
Basic knowledge of database and programming concepts