Big Data Analyst free videos and free material uploaded by Inspizone staff .
Module 1: Big Data Basics
Understanding Hadoop fundamentals
Introduction to Pig
Basic data analysis with Pig
Processing Complex data with Pig
Multi Dataset operations with Pig
Module 2: Optimising Data
Pig troubleshooting and Optimization
Introduction to Hive and Impala
Quering with Hive and Impala
Data Management
Data Storage and Performance
Module 3: Analysis Of Data
Relational Data Analysis
Working with Impala
Analyzing Complex Data and Text with Hive
Hive Optimization
Module 4: Tools For Data Analysis
Extending Hive
Choosing the Best Tool for the Job
Use cases
Calculate Best possible location
Analyzing mp3 files
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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