High Performance Spark

Author: Holden Karau
Publisher: "O'Reilly Media, Inc."
ISBN: 1491943173
Category : Computers
Languages : en
Pages : 356

Book Description
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

Author: Holden Karau. Rachel Warren
Publisher:
ISBN: 9781491943199
Category :
Languages : en
Pages :

Book Description

Learning Spark

Author: Holden Karau
Publisher: "O'Reilly Media, Inc."
ISBN: 1449359051
Category : Computers
Languages : en
Pages : 289

Book Description
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

Author: Bill Chambers
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912294
Category : Computers
Languages : en
Pages : 594

Book Description
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

Learning Spark

Author: Jules S. Damji
Publisher: O'Reilly Media
ISBN: 1492050016
Category : Computers
Languages : en
Pages : 400

Book Description
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

High Performance Spark

Author: Holden Karau
Publisher:
ISBN: 9787564175184
Category : Big data
Languages : en
Pages : 341

Book Description

Guide to High Performance Distributed Computing

Author: K.G. Srinivasa
Publisher: Springer
ISBN: 3319134973
Category : Computers
Languages : en
Pages : 310

Book Description
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.

Design of Racing and High-Performance Engines 1998-2003

Author: Daniel J Holt
Publisher: SAE International
ISBN: 0768095948
Category : Technology & Engineering
Languages : en
Pages : 570

Book Description
The 53 technical papers in this book show the improvements and design techniques that researchers have applied to performance and racing engines. They provide an insight into what the engineers consider to be the top improvements needed to advance engine technology; and cover subjects such as: 1) Direct injection; 2) Valve spring advancements; 3) Turbocharging; 4) Variable valve control; 5) Combustion evaluation; and 5) New racing engines.

High Performance Computing

Author: Amanda Bienz
Publisher: Springer Nature
ISBN: 3031408438
Category : Computers
Languages : en
Pages : 677

Book Description
This volume constitutes the papers of several workshops which were held in conjunction with the 38th International Conference on High Performance Computing, ISC High Performance 2023, held in Hamburg, Germany, during May 21–25, 2023. The 49 revised full papers presented in this book were carefully reviewed and selected from 70 submissions. ISC High Performance 2023 presents the following workshops: 2nd International Workshop on Malleability Techniques Applications in High-Performance Computing (HPCMALL) 18th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 23) HPC I/O in the Data Center (HPC IODC) Workshop on Converged Computing of Cloud, HPC, and Edge (WOCC’23) 7th International Workshop on In Situ Visualization (WOIV’23) Workshop on Monitoring and Operational Data Analytics (MODA23) 2nd Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms: Scalable Infrastructures First International Workshop on RISC-V for HPC Second Combined Workshop on Interactive and Urgent Supercomputing (CWIUS) HPC on Heterogeneous Hardware (H3)

Spark

Author: Angie Morgan
Publisher: Houghton Mifflin Harcourt
ISBN: 054471623X
Category : Business & Economics
Languages : en
Pages : 225

Book Description
The New York Times–bestselling, non-nonsense guide to becoming a better leader through 7 key behaviors, based on a mix of military and corporate training. Leadership is not about job titles—it’s about action and behavior. “Sparks” are the doers, thinkers, innovators, and key influencers who are catalysts for personal and organizational change. But these extraordinary individuals aren’t defined by the place they hold on an organizational chart—they are defined by their actions, commitment, and will. Leadership experts Angie Morgan, Courtney Lynch, and Sean Lynch show how you can become a Spark by cultivating seven key leadership behaviors. Grounded in the latest research on leadership development, this fresh, accessible road map is packed with real-world stories from inside companies like Facebook, Google, and Boston Scientific, and from the authors’ own high-stakes, challenging experiences serving in the U.S. Armed Forces. With SPARK as a blueprint, anyone can become a catalyst for change, and any organization can identify and develop Sparks. “A myth-destroying book that will make you rethink both the theory and practice of leadership.”—Daniel H. Pink, #1 New York Times–bestselling author of Drive “If you truly want to become a Spark in your organization and in your life, I urge you to read this book now.”—Mike “Coach K” Krzyzewski, head coach, Duke University Men’s Basketball “These authors are not only great leadership thinkers, but they have all led people in challenging circumstances…. Trust them to take you to a new level.”—Brigadier General Thomas A. Kolditz, U.S. Army (Ret.), director of the Ann and John Doerr Institute for New Leaders at Rice University