High Performance Spark

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High Performance Spark

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Author : Holden Karau
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491943173
Total Pages : 356 pages
Book Rating : 4.4/5 (919 download)

Book Synopsis High Performance Spark by : Holden Karau

Download or read book High Performance Spark written by Holden Karau and published by "O'Reilly Media, Inc.". This book was released on 2017-05-25 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements you expected, or still don’t feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources. Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data applications, this book describes techniques that can reduce data infrastructure costs and developer hours. Not only will you gain a more comprehensive understanding of Spark, you’ll also learn how to make it sing. With this book, you’ll explore: How Spark SQL’s new interfaces improve performance over SQL’s RDD data structure The choice between data joins in Core Spark and Spark SQL Techniques for getting the most out of standard RDD transformations How to work around performance issues in Spark’s key/value pair paradigm Writing high-performance Spark code without Scala or the JVM How to test for functionality and performance when applying suggested improvements Using Spark MLlib and Spark ML machine learning libraries Spark’s Streaming components and external community packages

High Performance Spark

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Author : Holden Karau
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491943157
Total Pages : 358 pages
Book Rating : 4.4/5 (919 download)

Book Synopsis High Performance Spark by : Holden Karau

Download or read book High Performance Spark written by Holden Karau and published by "O'Reilly Media, Inc.". This book was released on 2017-05-25 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements you expected, or still don’t feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources. Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data applications, this book describes techniques that can reduce data infrastructure costs and developer hours. Not only will you gain a more comprehensive understanding of Spark, you’ll also learn how to make it sing. With this book, you’ll explore: How Spark SQL’s new interfaces improve performance over SQL’s RDD data structure The choice between data joins in Core Spark and Spark SQL Techniques for getting the most out of standard RDD transformations How to work around performance issues in Spark’s key/value pair paradigm Writing high-performance Spark code without Scala or the JVM How to test for functionality and performance when applying suggested improvements Using Spark MLlib and Spark ML machine learning libraries Spark’s Streaming components and external community packages

Learning Spark

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Author : Holden Karau
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449359051
Total Pages : 387 pages
Book Rating : 4.4/5 (493 download)

Book Synopsis Learning Spark by : Holden Karau

Download or read book Learning Spark written by Holden Karau and published by "O'Reilly Media, Inc.". This book was released on 2015-01-28 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time. You’ll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning. Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell Leverage Spark’s powerful built-in libraries, including Spark SQL, Spark Streaming, and MLlib Use one programming paradigm instead of mixing and matching tools like Hive, Hadoop, Mahout, and Storm Learn how to deploy interactive, batch, and streaming applications Connect to data sources including HDFS, Hive, JSON, and S3 Master advanced topics like data partitioning and shared variables

Spark: The Definitive Guide

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Author : Bill Chambers
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491912294
Total Pages : 712 pages
Book Rating : 4.4/5 (919 download)

Book Synopsis Spark: The Definitive Guide by : Bill Chambers

Download or read book Spark: The Definitive Guide written by Bill Chambers and published by "O'Reilly Media, Inc.". This book was released on 2018-02-08 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Sparkâ??s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasetsâ??Sparkâ??s core APIsâ??through worked examples Dive into Sparkâ??s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Sparkâ??s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation

Guide to High Performance Distributed Computing

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Author : K.G. Srinivasa
Publisher : Springer
ISBN 13 : 3319134973
Total Pages : 304 pages
Book Rating : 4.3/5 (191 download)

Book Synopsis Guide to High Performance Distributed Computing by : K.G. Srinivasa

Download or read book Guide to High Performance Distributed Computing written by K.G. Srinivasa and published by Springer. This book was released on 2015-02-09 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance and best practices as well as describing theoretical software frameworks. Features: describes the fundamentals of building scalable software systems for large-scale data processing in the new paradigm of high performance distributed computing; presents an overview of the Hadoop ecosystem, followed by step-by-step instruction on its installation, programming and execution; Reviews the basics of Spark, including resilient distributed datasets, and examines Hadoop streaming and working with Scalding; Provides detailed case studies on approaches to clustering, data classification and regression analysis; Explains the process of creating a working recommender system using Scalding and Spark.

High-Performance Ignition Systems

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Author : Todd Ryden
Publisher : CarTech Inc
ISBN 13 : 1613250800
Total Pages : 146 pages
Book Rating : 4.6/5 (132 download)

Book Synopsis High-Performance Ignition Systems by : Todd Ryden

Download or read book High-Performance Ignition Systems written by Todd Ryden and published by CarTech Inc. This book was released on 2014-01-15 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete guide to understanding automotive ignition systems.

High Performance Spark

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Author : Holden Karau. Rachel Warren
Publisher :
ISBN 13 : 9781491943199
Total Pages : pages
Book Rating : 4.9/5 (431 download)

Book Synopsis High Performance Spark by : Holden Karau. Rachel Warren

Download or read book High Performance Spark written by Holden Karau. Rachel Warren and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Learning Spark

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Author : Jules S. Damji
Publisher : O'Reilly Media
ISBN 13 : 1492050016
Total Pages : 400 pages
Book Rating : 4.4/5 (92 download)

Book Synopsis Learning Spark by : Jules S. Damji

Download or read book Learning Spark written by Jules S. Damji and published by O'Reilly Media. This book was released on 2020-07-16 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is bigger, arrives faster, and comes in a variety of formats—and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level Structured APIs Understand Spark operations and SQL Engine Inspect, tune, and debug Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow

Spark

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Author : Jason Jaggard
Publisher : WaterBrook
ISBN 13 : 030773062X
Total Pages : 226 pages
Book Rating : 4.3/5 (77 download)

Book Synopsis Spark by : Jason Jaggard

Download or read book Spark written by Jason Jaggard and published by WaterBrook. This book was released on 2012-08-21 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop the Art of Self-Challenge Tired of dreaming about changing your life? Ready to change it? You came to the right place. Jason Jaggard has developed a simple, direct way to practice the art of self-challenge. It requires a willingness to take healthy risks and is energized by the involvement of a small group of fellow risk-takers. Here are just a few of the Spark insights that lead to lasting change: · More resources are available to you than you realize. · Living a changed life works best when a few friends get involved. · When you relearn what “good” is, you experience more goodness in your life. · Taking a healthy risk is always worth it, even if you fail. When you practice the art of self-challenge, you notice that your life and the world around you start changing for the better. It involves doing the one thing that only you can do: take responsibility for your life. So go ahead and take your first risk: open this book and start reading.

Advanced Analytics with Spark

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Author : Sandy Ryza
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491912731
Total Pages : 276 pages
Book Rating : 4.4/5 (919 download)

Book Synopsis Advanced Analytics with Spark by : Sandy Ryza

Download or read book Advanced Analytics with Spark written by Sandy Ryza and published by "O'Reilly Media, Inc.". This book was released on 2015-04-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. You’ll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques—classification, collaborative filtering, and anomaly detection among others—to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you’ll find these patterns useful for working on your own data applications. Patterns include: Recommending music and the Audioscrobbler data set Predicting forest cover with decision trees Anomaly detection in network traffic with K-means clustering Understanding Wikipedia with Latent Semantic Analysis Analyzing co-occurrence networks with GraphX Geospatial and temporal data analysis on the New York City Taxi Trips data Estimating financial risk through Monte Carlo simulation Analyzing genomics data and the BDG project Analyzing neuroimaging data with PySpark and Thunder

Spark in Action

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Author : Petar Zecevic
Publisher : Manning
ISBN 13 : 9781617292606
Total Pages : 0 pages
Book Rating : 4.2/5 (926 download)

Book Synopsis Spark in Action by : Petar Zecevic

Download or read book Spark in Action written by Petar Zecevic and published by Manning. This book was released on 2016-11-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. Fully updated for Spark 2.0. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Big data systems distribute datasets across clusters of machines, making it a challenge to efficiently query, stream, and interpret them. Spark can help. It is a processing system designed specifically for distributed data. It provides easy-to-use interfaces, along with the performance you need for production-quality analytics and machine learning. Spark 2 also adds improved programming APIs, better performance, and countless other upgrades. About the Book Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. You'll get comfortable with the Spark CLI as you work through a few introductory examples. Then, you'll start programming Spark using its core APIs. Along the way, you'll work with structured data using Spark SQL, process near-real-time streaming data, apply machine learning algorithms, and munge graph data using Spark GraphX. For a zero-effort startup, you can download the preconfigured virtual machine ready for you to try the book's code. What's Inside Updated for Spark 2.0 Real-life case studies Spark DevOps with Docker Examples in Scala, and online in Java and Python About the Reader Written for experienced programmers with some background in big data or machine learning. About the Authors Petar Zečević and Marko Bonaći are seasoned developers heavily involved in the Spark community. Table of Contents PART 1 - FIRST STEPS Introduction to Apache Spark Spark fundamentals Writing Spark applications The Spark API in depth PART 2 - MEET THE SPARK FAMILY Sparkling queries with Spark SQL Ingesting data with Spark Streaming Getting smart with MLlib ML: classification and clustering Connecting the dots with GraphX PART 3 - SPARK OPS Running Spark Running on a Spark standalone cluster Running on YARN and Mesos PART 4 - BRINGING IT TOGETHER Case study: real-time dashboard Deep learning on Spark with H2O

Stream Processing with Apache Spark

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Author : Gerard Maas
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491944196
Total Pages : 452 pages
Book Rating : 4.4/5 (919 download)

Book Synopsis Stream Processing with Apache Spark by : Gerard Maas

Download or read book Stream Processing with Apache Spark written by Gerard Maas and published by "O'Reilly Media, Inc.". This book was released on 2019-06-05 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You’ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs. Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API. Learn fundamental stream processing concepts and examine different streaming architectures Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail Create and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIs Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams

Mastering Spark with R

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Author : Javier Luraschi
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492046329
Total Pages : 296 pages
Book Rating : 4.4/5 (92 download)

Book Synopsis Mastering Spark with R by : Javier Luraschi

Download or read book Mastering Spark with R written by Javier Luraschi and published by "O'Reilly Media, Inc.". This book was released on 2019-10-07 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions

Go Wild

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Author : John J. Ratey
Publisher : Little, Brown Spark
ISBN 13 : 0316246077
Total Pages : 244 pages
Book Rating : 4.3/5 (162 download)

Book Synopsis Go Wild by : John J. Ratey

Download or read book Go Wild written by John J. Ratey and published by Little, Brown Spark. This book was released on 2014-06-03 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scientific evidence behind why maintaining a lifestyle more like that of our ancestors will restore our health and well-being. In Go Wild, Harvard Medical School Professor John Ratey, MD, and journalist Richard Manning reveal that although civilization has rapidly evolved, our bodies have not kept pace. This mismatch affects every area of our lives, from our general physical health to our emotional wellbeing. Investigating the power of living according to our genes in the areas of diet, exercise, sleep, nature, mindfulness and more, Go Wild examines how tapping into our core DNA combats modern disease and psychological afflictions, from Autism and Depression to Diabetes and Heart Disease. By focusing on the ways of the past, it is possible to secure a healthier and happier future, and Go Wild will show you how.

How to Build High-Performance Ignition Systems

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Author : Todd Ryden
Publisher : Cartech
ISBN 13 : 9781932494716
Total Pages : 0 pages
Book Rating : 4.4/5 (947 download)

Book Synopsis How to Build High-Performance Ignition Systems by : Todd Ryden

Download or read book How to Build High-Performance Ignition Systems written by Todd Ryden and published by Cartech. This book was released on 2008-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rovella Starr chronicles the life of Rovella Jackson. The main character marries into a loveless marriage at the young age of fourteen-years old. From the very beginning this union is deceptive and Regina has no intentions of preserving her sacred marriage vows. Soon, this loveless union begins to crumble; but deception remains the main ingredient in Rovella's life.

Julia High Performance

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Author : Avik Sengupta
Publisher : Packt Publishing Ltd
ISBN 13 : 1785887823
Total Pages : 132 pages
Book Rating : 4.7/5 (858 download)

Book Synopsis Julia High Performance by : Avik Sengupta

Download or read book Julia High Performance written by Avik Sengupta and published by Packt Publishing Ltd. This book was released on 2016-04-26 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design and develop high performing programs with Julia About This Book Learn to code high reliability and high performance programs Stand out from the crowd by developing code that runs faster than your peers' codes This book is intended for developers who are interested in high performance technical programming. Who This Book Is For This book is for beginner and intermediate Julia programmers who are interested in high performance technical computing. You will have a basic familiarity with Julia syntax, and have written some small programs in the language. What You Will Learn Discover the secrets behind Julia's speed Get a sense of the possibilities and limitations of Julia's performance Analyze the performance of Julia programs Measure the time and memory taken by Julia programs Create fast machine code using Julia's type information Define and call functions without compromising Julia's performance Understand number types in Julia Use Julia arrays to write high performance code Get an overview of Julia's distributed computing capabilities In Detail Julia is a high performance, high-level dynamic language designed to address the requirements of high-level numerical and scientific computing. Julia brings solutions to the complexities faced by developers while developing elegant and high performing code. Julia High Performance will take you on a journey to understand the performance characteristics of your Julia programs, and enables you to utilize the promise of near C levels of performance in Julia. You will learn to analyze and measure the performance of Julia code, understand how to avoid bottlenecks, and design your program for the highest possible performance. In this book, you will also see how Julia uses type information to achieve its performance goals, and how to use multuple dispatch to help the compiler to emit high performance machine code. Numbers and their arrays are obviously the key structures in scientific computing – you will see how Julia's design makes them fast. The last chapter will give you a taste of Julia's distributed computing capabilities. Style and approach This is a hands-on manual that will give you good explanations about the important concepts related to Julia programming.

Spark

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Author : John J. Ratey
Publisher : Little, Brown Spark
ISBN 13 : 0316113506
Total Pages : 208 pages
Book Rating : 4.3/5 (161 download)

Book Synopsis Spark by : John J. Ratey

Download or read book Spark written by John J. Ratey and published by Little, Brown Spark. This book was released on 2008-01-10 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bestselling author and renowned psychiatrist Dr. Ratey presents a groundbreaking and fascinating investigation into the transformative effects of exercise on the brain.