Spark

Author: John J. Ratey
Publisher: Little Brown & Company
ISBN: 0316113506
Size: 10.28 MB
Format: PDF, Kindle
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An investigation into the effects of exercise on the brain evaluates how aerobic exercise positively influences the progression of such conditions as Alzheimer's disease, ADD, and depression, in a report that shares theory-supporting case studies and the results of a progressive school fitness program. 30,000 first printing.

Learning Spark

Author: Holden Karau
Publisher: "O'Reilly Media, Inc."
ISBN: 1449359051
Size: 61.73 MB
Format: PDF
View: 319
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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

Author: Angie Morgan
Publisher: Houghton Mifflin Harcourt
ISBN: 054471623X
Size: 32.15 MB
Format: PDF, ePub, Mobi
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NEW YORK TIMES BESTSELLER Leadership isn’t about a job title – it’s about action and behavior. In SPARK, entrepreneurs, business consultants and military Veterans Angie Morgan, Courtney Lynch, and Sean Lynch show how anyone can become an extraordinary leader by embracing seven key behaviors. Many people believe that leaders are the rare few at the upper echelons of a business or other enterprise. But the truth is leaders can be found at any level of an organization. These are the Sparks – the doers, thinkers, innovators, and key influencers who are catalysts for personal and organizational change. Sparks aren’t defined by the place they hold on an organizational chart. They are defined by their actions, commitment, and will. When Sparks are ignited, their actions can shape their future. They make things better. They’re the individuals who have the courage to challenge the status quo and take action. Frederick W. Smith, Chairman & CEO of FedEx Corporation, adds: The concept of leadership is not a difficult one to understand. It’s that straight-forward, but it’s by no means intuitive. It must be learned and practiced. SPARK will help you do just that. SPARK’s insights were hard-earned by its authors, Angie Morgan (Marine Corps), Courtney Lynch (Marine Corps), and Sean Lynch (Air Force), who today are sought-after consultants and keynote speakers, through their firm Lead Star, due to the relevant, engaging way they help individuals reimagine themselves as leaders so they can reach their true potential. Not only does SPARK provide you with the encouragement and motivation to be a leader, it also offers online resources that will further support your leadership development. With SPARK as a blueprint, anyone can become a catalyst for change, and any organization can identify and develop Sparks.

Spark

Author: Brigid Kemmerer
Publisher: Kensington Books
ISBN: 0758280068
Size: 35.18 MB
Format: PDF, Mobi
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Gabriel Merrick plays with fire. Literally. Sometimes he can even control it. And sometimes he can't. Gabriel has always had his brothers to rely on, especially his twin, Nick. But when an arsonist starts wreaking havoc on their town, all the signs point to Gabriel. Only he's not doing it. And no one seems to believe him. Except a shy sophomore named Layne, a brainiac who dresses in turtlenecks and jeans and keeps him totally off balance. Layne understands family problems, and she understands secrets. She has a few of her own. Gabriel can't let her guess about his brothers, about his abilities, about the danger that's right at his heels. But there are some risks he can't help taking. The fuse is lit. . . Praise for Brigid Kemmerer and The Elemental Series "Five hot guys, one tough heroine, plenty of romance and non-stop action. . . Elemental is the new series to watch." --Inara Scott, author of The Marked "Overflowing with action, snappy dialog, and hot guys--The Elemental Series will take your breath away." --Kim Harrington, author of Clarity

Mastering Apache Spark

Author: Mike Frampton
Publisher: Packt Publishing Ltd
ISBN: 1783987154
Size: 16.36 MB
Format: PDF, ePub, Mobi
View: 2761
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Gain expertise in processing and storing data by using advanced techniques with Apache Spark About This Book Explore the integration of Apache Spark with third party applications such as H20, Databricks and Titan Evaluate how Cassandra and Hbase can be used for storage An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities Who This Book Is For If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected. What You Will Learn Extend the tools available for processing and storage Examine clustering and classification using MLlib Discover Spark stream processing via Flume, HDFS Create a schema in Spark SQL, and learn how a Spark schema can be populated with data Study Spark based graph processing using Spark GraphX Combine Spark with H20 and deep learning and learn why it is useful Evaluate how graph storage works with Apache Spark, Titan, HBase and Cassandra Use Apache Spark in the cloud with Databricks and AWS In Detail 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 SQL. It operates at unprecedented speeds, is easy to use and offers a rich set of data transformations. This book aims to take your limited knowledge of Spark to the next level by teaching you how to expand Spark functionality. The book commences with an overview of the Spark eco-system. You will learn how to use MLlib to create a fully working neural net for handwriting recognition. You will then discover how stream processing can be tuned for optimal performance and to ensure parallel processing. The book extends to show how to incorporate H20 for machine learning, Titan for graph based storage, Databricks for cloud-based Spark. Intermediate Scala based code examples are provided for Apache Spark module processing in a CentOS Linux and Databricks cloud environment. Style and approach This book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.

Spark Joy

Author: Marie Kondo
Publisher: Ten Speed Press
ISBN: 1607749734
Size: 32.85 MB
Format: PDF, Mobi
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Japanese decluttering guru Marie Kondo’s The Life-Changing Magic of Tidying Up has revolutionized homes—and lives—across the world. Now, Kondo presents an illustrated guide to her acclaimed KonMari Method, with step-by-step folding illustrations for everything from shirts to socks, plus drawings of perfectly organized drawers and closets. She also provides advice on frequently asked questions, such as whether to keep “necessary” items that may not bring you joy. With guidance on specific categories including kitchen tools, cleaning supplies, hobby goods, and digital photos, this comprehensive companion is sure to spark joy in anyone who wants to simplify their life.

Spark In Action

Author: Petar Zecevic
Publisher: Manning Publications
ISBN: 9781617292606
Size: 14.46 MB
Format: PDF, Docs
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Working with big data can be complex and challenging, in part because of the multiple analysis frameworks and tools required. Apache Spark is a big data processing framework perfect for analyzing near-real-time streams and discovering historical patterns in batched data sets. But Spark goes much further than other frameworks. By including machine learning and graph processing capabilities, it makes many specialized data processing platforms obsolete. Spark's unified framework and programming model significantly lowers the initial infrastructure investment, and Spark's core abstractions are intuitive for most Scala, Java, and Python developers. Spark in Action teaches readers to use Spark for stream and batch data processing. It starts with an introduction to the Spark architecture and ecosystem followed by a taste of Spark's command line interface. Readers then discover the most fundamental concepts and abstractions of Spark, particularly Resilient Distributed Datasets (RDDs) and the basic data transformations that RDDs provide. The first part of the book covers writing Spark applications using the the core APIs. Readers also learn how to work with structured data using Spark SQL, how to process near-real time data with Spark Streaming, how to apply machine learning algorithms with Spark MLlib, how to apply graph algorithms on graph-shaped data using Spark GraphX, and an introduction to Spark clustering. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

High Performance Spark

Author: Holden Karau
Publisher: "O'Reilly Media, Inc."
ISBN: 1491943173
Size: 46.50 MB
Format: PDF, Docs
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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

The Half Life Of Remorse

Author: Grant Jarrett
Publisher: SparkPress
ISBN: 1943006156
Size: 12.27 MB
Format: PDF
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When two vagrants meet on the streets of Muncie, Indiana, they are both unaware that their paths crossed years before. Chic, crude and uneducated, is convinced that Sam is nothing more than a harmless lunatic, and Sam, emotionally scarred and psychologically traumatized by events long past, regards Chic as just another denizen of the street. But Chic has spent his adult life trying to purge his soul of the brutal crime he committed as a teenager―the same botched burglary that resulted in the deaths of Sam’s wife and son. Meanwhile, Sam’s daughter Claire is still unable to give up hope that her father might someday reappear. When these three lives converge, the puzzle of the past gradually falls together, but redemption commands a high price, and what is revealed will test the limits of love and challenge the human capacity for forgiveness.

Spark

Author: Frank Koller
Publisher: ReadHowYouWant.com
ISBN: 1458721280
Size: 27.72 MB
Format: PDF, ePub, Docs
View: 4081
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While factories across the Midwest shutter their doors, Cleveland-based manufacturer Lincoln Electric has thrived for more than a century. In addition to being profitable and technologically innovative, through good times and bad, the company has fulfilled its unique promise of ''guaranteed continuous employment. Workers are viewed as assets not liabilities. Through flexible hours and job assignments, as well as a merit-based bonus system, Lincoln Electric's employment policies have proven healthy for the company's bottom line its employees and its shareholders. In Spark, veteran journalist Frank Koller tells the story of how this unusual and profitable Fortune 1000 multinational company challenges the conventional wisdom shaping modern management's view of the workplace. Through insightful storytelling and extensive interviews with executives, workers, and leading business thinkers, Koller uses the Lincoln Electric example to illustrate how job security can inspire powerful growth and prosperity in our communities.