Solved end-to-end Apache Impala Projects

Solved
end-to-end
Apache Impala Projects

Get ready to use coding projects for solving real-world business problems

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Apache Impala Projects

 

This is in continuation of the previous Hive project "Tough engineering choices with large datasets in Hive Part - 1", where we will work on processing big data sets using Hive.

Hadoop Project- Perform basic big data analysis on airline dataset using big data tools -Pig, Hive and Impala.

In this Apache Spark SQL project, we will go through provisioning data for retrieval using Spark SQL.

In this hive project, you will design a data warehouse for e-commerce environments.

In this hadoop project, you will be using a sample application log file from an application server to a demonstrated scaled-down server log processing pipeline.

Explore hive usage efficiently in this hadoop hive project using various file formats such as JSON, CSV, ORC, AVRO and compare their relative performances

Who should work on Impala Hadoop Projects ?

Why you should enroll for Big Data Hadoop Projects on Impala?

Key Learning’s from DeZyre’s Impala Hadoop Projects

By working Impala projects for Hadoop, individuals will learn to:

 What will you get when you enroll for Impala Hadoop projects?