Complete ElasticSearch with LogStash, Hive, Pig, MR & Kibana

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Description: Complete ElasticSearch tutorial for beginners to advanced level professionals.Learn how to use ElasticSearch with Apache Hadoop and build various real world big data applications.This comprehensive course focuses on building real world like data applications to move data from one system to another. A common practice for any data engineer today. No other course can cover so much ground as you will do in this one.In this course you will learn:Section 1 – Ingestion Flows (Hadoop to ElasticSearch)In this section of the course, you will learn to move data from various Hadoop applications (such as Hive, Pig, MR) & LogStash into an ElasticSearch index. This is an ideal business use case to prepare data for business analytics. Here are four major topics that will be covered in this section of the course:Learn how to install Apache Hive on your computer. Then read data from a hive table and load it into ElasticSearchLearn how to install Apache PIG on your computer and index data into ElasticSearch using Apache PIGCreate a MapReduce program (Java code) and load data into an ElasticSearch indexLearn how to move data using LogStash into an ElasticSearch indexSection 2 – Egression Flows (ElasticSearch to Hadoop)In this section of the course, you will learn to use indexed data from an ElasticSearch cluster and load it back into Hadoop cluster. After data is loaded back into Hadoop, you will learn how to directly import it into Hive, Pig, M/R or LogStash. Here are four major topics that we will cover under this section:Learn how to import an ElasticSearch index directly into Apache Hive tableLearn how to import an ElasticSearch indexed data into Hadoop using Apache PIG scriptsLearn how to import an ElasticSearch indexed data into Hadoop usin
Category: Business > Business Analytics & Intelligence > Elasticsearch
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Price: 199.99
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Source: Impact
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