Data
Reader small image

You're reading from  Big Data Analytics with Java

Product typeBook
Published inJul 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781787288980
Edition1st Edition
Languages
Java
Tools
Apache SparkHadoop
Concepts
Big Data
Right arrow
Author (1)
RAJAT MEHTA
RAJAT MEHTA
author image
RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.
Read more about RAJAT MEHTA

Right arrow

Advanced visualization technique

For advanced data visualization, commercial tools such as Tableau or FusionCharts can be used. These are very good in making dashboards and reports that can be used by businesses in their presentations or demos. In fact, for business needs, specifically for presentations or demos, we would urge the users to go with commercial tools such as Tableau or FusionCharts as they can be used to make very good reports and presentations. However, if you have specific advanced charting needs such as making three-dimensional charts or creating graphs or trees in Java, we can use advanced Java charting libraries such as Prefuse or VTK Graph toolkits.

Note

Covering these advanced libraries in detail is beyond the scope of this book. Hence, we will only give specific brief outline on these libraries. Readers who are interested in these libraries can refer to their specific websites for more information.

Prefuse

This is an open source set of tools that is used for creating rich...

lock icon
The rest of the page is locked
Previous Page
Chapter 10 of 21, Page 9
Next Page
You have been reading a chapter from
Big Data Analytics with Java
Published in: Jul 2017Publisher: PacktISBN-13: 9781787288980
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.
Read more about RAJAT MEHTA

Other recommended products

Related to this chapter

Machine Learning with scikit-learn Quick Start Guide

Machine Learning with scikit-learn Quick Start Guide

Scikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning algorithms. This book is the easiest way to learn how to deploy, optimize and evaluate all the important machine learning algorithms that scikit-learn provides.

BookOct 2018172 pages
Apache Spark 2.x for Java Developers

Apache Spark 2.x for Java Developers

Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone.

BookJul 2017350 pages
Apache Spark Quick Start Guide

Apache Spark Quick Start Guide

Apache Spark is a ?exible in-memory framework that allows processing of both batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to quickly get started with Apache Spark 2.0 and write efficient big data applications for a variety of use cases.

BookJan 2019154 pages
Mastering Machine Learning with Spark 2.x

Mastering Machine Learning with Spark 2.x

The purpose of machine learning is to build systems that learn from data. With the meteoric rise of machine learning, developers are now keen on finding out how can they make their Spark applications smarter. The book commences by defining machine learning primitives by the MLlib and H2O libraries. You will learn how to use Binary classification to detect the Higgs Boson particle in the huge amount of data produced by CERN particle collider and classify daily health activities using ensemble Methods for Multi-Class Classification. Finally, you will build different pattern mining models using MLlib, perform complex manipulation of DataFrames using Spark and Spark SQL, and deploy your app in a Spark streaming environment.

BookAug 2017340 pages
Apache Spark 2.x Machine Learning Cookbook

Apache Spark 2.x Machine Learning Cookbook

Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability, and optimization. This book begins with a quick overview of setting up the necessary IDEs to facilitate the execution of code examples that will be covered in various chapters. It also highlights some key issues developers face while working with machine learning algorithms on the Spark platform. We progress by uncovering the various Spark APIs and the implementation of ML algorithms with developing classification systems, recommendation engines, text analytics, clustering, and learning systems. Toward the final chapters, we’ll focus on building high-end applications and explain various unsupervised methodologies and challenges to tackle when implementing with big data ML systems.

BookSep 2017666 pages
Learning Spark SQL

Learning Spark SQL

In the past year, Apache Spark has been increasingly adopted for development of distributed applications. Spark SQL APIs provides an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Understanding the design and implementation best practices for Spark SQL API based applications before you start your project will help you avoid these problems and ensure that your project is a success. Learning Spark SQL gives an insight into the engineering practices used to design and build real-world Spark-based applications. The hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL.

BookSep 2017452 pages
Mastering Apache Spark 2.x

Mastering Apache Spark 2.x

Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and more. This book will familiarize you with the newest features in Apache Spark 2.x, and take you through an exciting journey of complex Big Data processing, analytics, streaming analytics as well as advanced machine learning with Apache Spark. During the course of the book, you will leverage different functionalities and modules of Apache Spark such as Spark SQL, Spark MLlib, Spark Streaming, SparkML and more, to build efficient data processing solutions. By the end of this book, you will have all the necessary knowledge to use Apache Spark effectively in your day to day tasks.

BookJul 2017354 pages
Hands-On Deep Learning with Apache Spark

Hands-On Deep Learning with Apache Spark

Deep Learning is a subset of Machine Learning where data sets with several layers of complexity can be processed. This book teaches you the different techniques using which deep learning solutions can be implemented at scale, on Apache Spark. This will help you gain experience of implementing your deep learning models in many real-world use cases.

BookJan 2019322 pages
Machine Learning with Spark

Machine Learning with Spark

Spark ML is the machine learning module of Spark. It uses in-memory RDDs to process machine learning models faster for clustering, classification, and regression.

BookApr 2017532 pages
Machine Learning with Scala Quick Start Guide

Machine Learning with Scala Quick Start Guide

Scala as a programming language is a highly scalable integration of object-oriented and functional programming, which makes it easy to build scalable and complex big data applications. This book is a handy guide for machine learning developers and data scientists who want to train effective machine learning models using this popular language.

BookApr 2019220 pages
Learning PySpark

Learning PySpark

This book will get you to grips with the Spark Python API. You’ll explore how Python can be used with Spark to build scalable and reliable data-intensive applications.

BookFeb 2017274 pages
Apache Spark 2.x Cookbook

Apache Spark 2.x Cookbook

Apache Spark has become the hottest platform and sought after skill set when it comes to the fields of Big Data, Analytics and Data Science. Apache Spark 2.x comes with series of new improvements in the areas of performance, scalability, operational and production readiness for structured processing of massive datasets. This book brings in a systematic way of getting a practical hands on to using its improved programming APIs, expanded SQL functionalities and implement distributed machine learning applications with Spark ML. Through the course of chapters, you will have explored the power of Spark DataFrames/Datasets, harness MLLib for Data mining, analyze complex problems with iterative or multi-stage Spark scripts and other associated toolsets such as Spark SQL, Spark Streaming and GraphX .

BookMay 2017294 pages

Personalised recommendations for you

Based on your interests and search pattern

Et al.

Et al.

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

BookAug 2023230 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages4
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages1
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

BookAug 2023684 pages
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages5
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages2
Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

BookOct 2023636 pages5
Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

BookAug 2023420 pages5
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

BookDec 2023240 pages
TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

BookNov 2023664 pages