Data has become a very important asset for businesses when making very critical decisions. As the complexity of the infrastructure that generates and uses this data, its very important to have some control over the access patterns of this data. In the Hadoop ecosystem, we have Apache Ranger, which is another open source project that helps in managing the security of big data.
-
Book Overview & Buying
-
Table Of Contents
Modern Big Data Processing with Hadoop
By :
Modern Big Data Processing with Hadoop
By:
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)
Preface
Free Chapter
Enterprise Data Architecture Principles
Hadoop Life Cycle Management
Hadoop Design Consideration
Data Movement Techniques
Data Modeling in Hadoop
Designing Real-Time Streaming Data Pipelines
Large-Scale Data Processing Frameworks
Building Enterprise Search Platform
Designing Data Visualization Solutions
Developing Applications Using the Cloud
Production Hadoop Cluster Deployment
