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High Performance Spark

High Performance Spark PDF 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

High Performance Spark PDF 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

Learning Spark

Learning Spark PDF 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

Learning Spark

Learning Spark PDF 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

Spark: The Definitive Guide

Spark: The Definitive Guide PDF 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

High Performance Spark

High Performance Spark PDF Author: Holden Karau
Publisher: "O'Reilly Media, Inc."
ISBN: 1491943157
Category : Computers
Languages : en
Pages : 358

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

High Performance Spark PDF Author: Holden Karau. Rachel Warren
Publisher:
ISBN: 9781491943199
Category :
Languages : en
Pages :

Book Description


Ignition Systems for Gasoline Engines

Ignition Systems for Gasoline Engines PDF Author: Michael Günther
Publisher: Springer
ISBN: 3319455044
Category : Technology & Engineering
Languages : en
Pages : 324

Book Description
The volume includes selected and reviewed papers from the 3rd Conference on Ignition Systems for Gasoline Engines in Berlin in November 2016. Experts from industry and universities discuss in their papers the challenges to ignition systems in providing reliable, precise ignition in the light of a wide spread in mixture quality, high exhaust gas recirculation rates and high cylinder pressures. Classic spark plug ignition as well as alternative ignition systems are assessed, the ignition system being one of the key technologies to further optimizing the gasoline engine.

Fundamentals of Automotive Technology

Fundamentals of Automotive Technology PDF Author: Vangelder
Publisher: Jones & Bartlett Learning
ISBN: 128410995X
Category : Medical
Languages : en
Pages : 1884

Book Description
Revised edition of: Fundamentals of automotive maintenance and light repair / Kirk T. VanGelder. 2015.

Advanced Processing and Manufacturing Technologiesfor Structural and Multifunctional Materials VI, Volume 33, Issue 8

Advanced Processing and Manufacturing Technologiesfor Structural and Multifunctional Materials VI, Volume 33, Issue 8 PDF Author: Tatsuki Ohji
Publisher: John Wiley & Sons
ISBN: 1118530209
Category : Technology & Engineering
Languages : en
Pages : 184

Book Description
The 6th International Symposium on Advanced Processing and Manufacturing Technologies for Structural and Multifunctional Materials and Systems was held in January 2012 during the 36th International Conference and Exposition on Advanced Ceramics and Composites. This symposium examined progress resulting from the research and development of advanced processing and manufacturing technologies for a wide variety of non-oxide and oxide-based structural ceramics, particulate and fiber-reinforced composites, and multifunctional materials. This issue features seventeen of those papers, representing some of the most important developments in processing and manufacturing technologies.

101 Projects for Your 1964 1/2-1973 Mustang

101 Projects for Your 1964 1/2-1973 Mustang PDF Author: Earl Davis Diane Perkins-Davis
Publisher:
ISBN: 9781610607926
Category : Transportation
Languages : en
Pages : 236

Book Description
Nearly forty years have passed and almost 3 million owners and enthusiasts still worship the classic beauty of the Ford Mustang. 101 Projects for the earlier models developed between 1964 and 1973 are the focus of this book. The book is broken out into projects that concentrate on specific aspects of the car, including engine, drivetrain, chassis, suspension and steering, brakes, wheels and tires, body, and interior. Features:, High-performance modification procedures, Restoration and maintenance tips, Details realistic and reliable shortcuts, Identifies the best and most current products on the market or a particular job.