Book Image

Modern Big Data Processing with Hadoop

By : V Naresh Kumar, Manoj R Patil, Prashant Shindgikar
Book Image

Modern Big Data Processing with Hadoop

By: V Naresh Kumar, Manoj R Patil, Prashant Shindgikar

Overview of this book

The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools. This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of structured and unstructured data in Hadoop. It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to build enterprise-grade analytics solutions on Hadoop, and how to visualize your data using tools such as Apache Superset. This book also covers techniques for deploying your Big Data solutions on the cloud Apache Ambari, as well as expert techniques for managing and administering your Hadoop cluster. By the end of this book, you will have all the knowledge you need to build expert Big Data systems.
Table of Contents (12 chapters)


In RDBMS analogy, mapping means defining a table schema. We always define a table structure, that is, column data types. In Elasticsearch, we also need to define the data type for each field. But then comes another question. Why did we not define it before when we ingested three documents into the my_index index? The answer is simple. Elasticsearch doesn't care. It is claimed that Elasticsearch is a schema-less data model.

If we don't define a mapping, Elasticsearch dynamically creates a mapping for us by defining all fields as text. Elasticsearch is intelligent enough to find out date fields to assign the date data type to them.

Let's find the existing dynamic mapping of index my_index:

curl -XGET 'localhost:9200/my_index2/_mapping/?pretty'


"my_index" : {
"mappings" : {
customer" : {
"properties" : {