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)

Batch processing versus real-time processing

Before we dive deep into different data ingestion techniques, let's discuss the difference between batch and real-time (stream) processing. The following explains the difference between these two ecosystems.

Batch processing

The following points describe the batch processing system:

  • Very efficient in processing a high volume of data.
  • All data processing steps (that is, data collection, data ingestion, data processing, and results presentation) are done as one single batch job.
  • Throughput carries more importance than latency. Latency is always more than a single minute.
  • Throughput directly depends on the size of the data and available computational system resources.
  • Available...