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)

Use case

Let's assume that we have an application deployed on an application server. That application is logging on to an access log. Then how can we analyze this access log using a dashboard? We would like to create a real-time visualization of the following info:

  • Number of various response codes
  • Total number of responses
  • List of IPs

Proposed technology stack:

  • Filebeat: To read access log and write to Kafka topic
  • Kafka: Message queues and o buffer message
  • Logstash: To pull messages from Kafka and write to Elasticsearch index
  • Elasticsearch: For indexing messages
  • Kibana: Dashboard visualization

In order to solve this problem, we install filebeat on Appserver. Filebeat will read each line from the access log and write to the kafka topic in real time. Messages will be buffered in Kafka. Logstash will pull messages from the Kafka topic and write to Elasticsearch.

Kibana will...