The Big Data Analytics courses will help delegates learn the methods and tools to collect large amounts of data when making business decisions. By using these techniques, the delegate will be able to improve the process of decision-making, cost reduction and the improvement of products.
Hadoop is the cloud computing platform data scientists use to perform highly paralleled operations on big data. You will learn in this course that:
How to analyze data using Pig, Hive and YARN
How to configure the Hadoop distributed file system (HDFS) perform processing
Ingestion using Map Reduce Apache Hive is a tool of choice for many data scientists because it allows them to work with SQL, a familiar syntax, to derive insights from Hadoop, reflecting the information that businesses seek to plan effectively.
This course shows how to use Hive to process data, structure and optimize your data. The course will also show how to use HUE, the Hadoop user interface, to leverage HiveQL when analyzing data.
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