Download e-book for kindle: Big Data Analytics with Java by Rajat Mehta

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By Rajat Mehta

Key Features

  • Acquire real-world set of instruments for construction firm point facts technology applications
  • Surpasses the barrier of alternative languages in facts technology and examine create invaluable object-oriented codes
  • Extensive use of Java compliant colossal information instruments like apache spark, Hadoop, etc.

Book Description

This ebook covers case experiences reminiscent of sentiment research on a tweet dataset, tips on a movielens dataset, shopper segmentation on an ecommerce dataset, and graph research on genuine flights dataset.

This publication is an end-to-end consultant to enforce analytics on substantial info with Java. Java is the de facto language for significant immense facts environments, together with Hadoop. This e-book will train you ways to accomplish analytics on immense facts with production-friendly Java. This booklet essentially divided into sections. the 1st half is an creation that would support the readers get conversant in titanic facts environments, while the second one half will include a hardcore dialogue on the entire innovations in analytics on great information. it's going to take you from information research and information visualization to the center suggestions and merits of computing device studying, real-life utilization of regression and class utilizing Naive Bayes, a deep dialogue at the innovations of clustering,and a overview of straightforward neural networks on enormous info utilizing deepLearning4j or undeniable Java Spark code. This booklet is a must have publication for Java builders who are looking to commence studying immense info analytics and need to take advantage of it within the genuine world.

What you are going to learn

  • Start from uncomplicated analytic projects on giant data
  • Get into extra advanced projects with predictive analytics on mammoth info utilizing computing device learning
  • Learn genuine time analytic tasks
  • Understand the options with examples and case studies
  • Prepare and refine facts for analysis
  • Create charts so one can comprehend the data
  • See quite a few real-world datasets

About the Author

The writer is a vice chairman (Technical Architect) in expertise in JP Morgan Chase in manhattan. the writer is a sunlight qualified java developer and has labored on java comparable applied sciences for greater than sixteen years. present function for the previous few years seriously contains the use of bid info stack and operating analytics on it. writer is additionally a contributor in a number of open resource tasks which are on hand on his GitHub repository and can also be a common write on dev magazines.

Table of Contents

  1. Big facts Analytics with Java
  2. First Steps on facts Analysis
  3. Data Visualization
  4. Basics of computer Learning
  5. Regression on vast Data
  6. Naive Bayes and Sentiment Analysis
  7. Classification utilizing determination Trees
  8. Classification on ensemble of choice Trees
  9. Recommendations on enormous Data
  10. Clustering in motion on mammoth Data
  11. Building graphs on colossal Data
  12. Streaming on sizeable Data
  13. Deep studying utilizing mammoth Data

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