Download or read book Spark in Time written by Toni Raben and published by Xlibris Corporation. This book was released on 2014-07-24 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: SPARK IN TIME is Toni Raben’s long-awaited follow-up to her acclaimed debut TERRACOTTA SMOKE in 2011. Here again, Ms. Raben creates provocative, often spellbinding poetry. Rich in her trademark, ethereal imagery and one-of-a-kind voice that ranges from lush to blunt, SPARK IN TIME seamlessly weaves moments that are hard-hitting, heartbreaking and even hilarious. There is only one Toni Raben. SPARK IN TIME is more evidence of her unique presence in the poetry world.
Download or read book Apache Spark in 24 Hours Sams Teach Yourself written by Jeffrey Aven and published by Sams Publishing. This book was released on 2016-08-31 with total page 1353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apache Spark is a fast, scalable, and flexible open source distributed processing engine for big data systems and is one of the most active open source big data projects to date. In just 24 lessons of one hour or less, Sams Teach Yourself Apache Spark in 24 Hours helps you build practical Big Data solutions that leverage Spark’s amazing speed, scalability, simplicity, and versatility. This book’s straightforward, step-by-step approach shows you how to deploy, program, optimize, manage, integrate, and extend Spark–now, and for years to come. You’ll discover how to create powerful solutions encompassing cloud computing, real-time stream processing, machine learning, and more. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success. Whether you are a data analyst, data engineer, data scientist, or data steward, learning Spark will help you to advance your career or embark on a new career in the booming area of Big Data. Learn how to • Discover what Apache Spark does and how it fits into the Big Data landscape • Deploy and run Spark locally or in the cloud • Interact with Spark from the shell • Make the most of the Spark Cluster Architecture • Develop Spark applications with Scala and functional Python • Program with the Spark API, including transformations and actions • Apply practical data engineering/analysis approaches designed for Spark • Use Resilient Distributed Datasets (RDDs) for caching, persistence, and output • Optimize Spark solution performance • Use Spark with SQL (via Spark SQL) and with NoSQL (via Cassandra) • Leverage cutting-edge functional programming techniques • Extend Spark with streaming, R, and Sparkling Water • Start building Spark-based machine learning and graph-processing applications • Explore advanced messaging technologies, including Kafka • Preview and prepare for Spark’s next generation of innovations Instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid pitfalls. By the time you're finished, you'll be comfortable using Apache Spark to solve a wide spectrum of Big Data problems.
Download or read book Spark in Action written by Jean-Georges Perrin and published by Simon and Schuster. This book was released on 2020-05-12 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition, you’ll learn to take advantage of Spark’s core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Spark skills are a hot commodity in enterprises worldwide, and with Spark’s powerful and flexible Java APIs, you can reap all the benefits without first learning Scala or Hadoop. Foreword by Rob Thomas. About the technology Analyzing enterprise data starts by reading, filtering, and merging files and streams from many sources. The Spark data processing engine handles this varied volume like a champ, delivering speeds 100 times faster than Hadoop systems. Thanks to SQL support, an intuitive interface, and a straightforward multilanguage API, you can use Spark without learning a complex new ecosystem. About the book Spark in Action, Second Edition, teaches you to create end-to-end analytics applications. In this entirely new book, you’ll learn from interesting Java-based examples, including a complete data pipeline for processing NASA satellite data. And you’ll discover Java, Python, and Scala code samples hosted on GitHub that you can explore and adapt, plus appendixes that give you a cheat sheet for installing tools and understanding Spark-specific terms. What's inside Writing Spark applications in Java Spark application architecture Ingestion through files, databases, streaming, and Elasticsearch Querying distributed datasets with Spark SQL About the reader This book does not assume previous experience with Spark, Scala, or Hadoop. About the author Jean-Georges Perrin is an experienced data and software architect. He is France’s first IBM Champion and has been honored for 12 consecutive years. Table of Contents PART 1 - THE THEORY CRIPPLED BY AWESOME EXAMPLES 1 So, what is Spark, anyway? 2 Architecture and flow 3 The majestic role of the dataframe 4 Fundamentally lazy 5 Building a simple app for deployment 6 Deploying your simple app PART 2 - INGESTION 7 Ingestion from files 8 Ingestion from databases 9 Advanced ingestion: finding data sources and building your own 10 Ingestion through structured streaming PART 3 - TRANSFORMING YOUR DATA 11 Working with SQL 12 Transforming your data 13 Transforming entire documents 14 Extending transformations with user-defined functions 15 Aggregating your data PART 4 - GOING FURTHER 16 Cache and checkpoint: Enhancing Spark’s performances 17 Exporting data and building full data pipelines 18 Exploring deployment
Download or read book The Very Fine Clock written by Muriel Spark and published by . This book was released on 1968 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because Ticky, the clock, is extremely wise, the professor and his friends vote to bestow upon him the title of Professor. But Ticky declines the honor.
Download or read book Pro Spark Streaming written by Zubair Nabi and published by Apress. This book was released on 2016-06-13 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications. This book walks you through end-to-end real-time application development using real-world applications, data, and code. Taking an application-first approach, each chapter introduces use cases from a specific industry and uses publicly available datasets from that domain to unravel the intricacies of production-grade design and implementation. The domains covered in Pro Spark Streaming include social media, the sharing economy, finance, online advertising, telecommunication, and IoT. In the last few years, Spark has become synonymous with big data processing. DStreams enhance the underlying Spark processing engine to support streaming analysis with a novel micro-batch processing model. Pro Spark Streaming by Zubair Nabi will enable you to become a specialist of latency sensitive applications by leveraging the key features of DStreams, micro-batch processing, and functional programming. To this end, the book includes ready-to-deploy examples and actual code. Pro Spark Streaming will act as the bible of Spark Streaming. What You'll Learn Discover Spark Streaming application development and best practices Work with the low-level details of discretized streams Optimize production-grade deployments of Spark Streaming via configuration recipes and instrumentation using Graphite, collectd, and Nagios Ingest data from disparate sources including MQTT, Flume, Kafka, Twitter, and a custom HTTP receiver Integrate and couple with HBase, Cassandra, and Redis Take advantage of design patterns for side-effects and maintaining state across the Spark Streaming micro-batch model Implement real-time and scalable ETL using data frames, SparkSQL, Hive, and SparkR Use streaming machine learning, predictive analytics, and recommendations Mesh batch processing with stream processing via the Lambda architecture Who This Book Is For Data scientists, big data experts, BI analysts, and data architects.
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
Download or read book Spark written by Sarah Beth Durst and published by Clarion Books. This book was released on 2019 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Naturally quiet since birth, Mina and her stormbeast, Pixit, lead others like themselves in defying authority and attempting to spread the truth that Alorria's idyllic weather comes at a steep cost.
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
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
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 594 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
Download or read book Frank Kane s Taming Big Data with Apache Spark and Python written by Frank Kane and published by Packt Publishing Ltd. This book was released on 2017-06-30 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. About This Book Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Who This Book Is For If you are a data scientist or data analyst who wants to learn Big Data processing using Apache Spark and Python, this book is for you. If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, Frank Kane's Taming Big Data with Apache Spark and Python will also help you. What You Will Learn Find out how you can identify Big Data problems as Spark problems Install and run Apache Spark on your computer or on a cluster Analyze large data sets across many CPUs using Spark's Resilient Distributed Datasets Implement machine learning on Spark using the MLlib library Process continuous streams of data in real time using the Spark streaming module Perform complex network analysis using Spark's GraphX library Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster In Detail Frank Kane's Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you'll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jobs quickly using Python. Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis, making it an essential tool in many modern businesses. Frank has packed this book with over 15 interactive, fun-filled examples relevant to the real world, and he will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease. Style and approach Frank Kane's Taming Big Data with Apache Spark and Python is a hands-on tutorial with over 15 real-world examples carefully explained by Frank in a step-by-step manner. The examples vary in complexity, and you can move through them at your own pace.
Download or read book SPARK written by Tracey Jones and published by . This book was released on 2020-06-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Each Tiny Spark written by Pablo Cartaya and published by Penguin. This book was released on 2019-08-06 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: From award-winning author Pablo Cartaya comes a deeply moving middle grade novel about a daughter and father finding their way back to each other in the face of their changing family and community. A SCHNEIDER FAMILY BOOK AWARD HONOR FOR MIDDLE GRADE Emilia Torres has a wandering mind. It's hard for her to follow along at school, and sometimes she forgets to do what her mom or abuela asks. But she remembers what matters: a time when her family was whole and home made sense. When Dad returns from deployment, Emilia expects that her life will get back to normal. Instead, it unravels. Dad shuts himself in the back stall of their family's auto shop to work on an old car. Emilia peeks in on him daily, mesmerized by his welder. One day, Dad calls Emilia over. Then, he teaches her how to weld. And over time, flickers of her old dad reappear. But as Emilia finds a way to repair the relationship with her father at home, her community ruptures with some of her classmates, like her best friend, Gus, at the center of the conflict. Each Tiny Spark by Pablo Cartaya is a tender story about asking big questions and being brave enough to reckon with the answers.
Download or read book A Kind of Spark written by Elle McNicoll and published by Crown Books for Young Readers. This book was released on 2021-10-19 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perfect for readers of Song for a Whale and Counting by 7s, a neurodivergent girl campaigns for a memorial when she learns that her small Scottish town used to burn witches simply because they were different. "A must-read for students and adults alike." -School Library Journal, Starred Review Ever since Ms. Murphy told us about the witch trials that happened centuries ago right here in Juniper, I can’t stop thinking about them. Those people weren’t magic. They were like me. Different like me. I’m autistic. I see things that others do not. I hear sounds that they can ignore. And sometimes I feel things all at once. I think about the witches, with no one to speak for them. Not everyone in our small town understands. But if I keep trying, maybe someone will. I won’t let the witches be forgotten. Because there is more to their story. Just like there is more to mine. Award-winning and neurodivergent author Elle McNicoll delivers an insightful and stirring debut about the European witch trials and a girl who refuses to relent in the fight for what she knows is right.
Download or read book Time Zones Starter Pamphlet written by Nicholas Beare and published by National Geographic Society. This book was released on 2014-11-14 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time Zones, Second Edition is a four-skills program designed to teach teenagers how to use English effectively, developing them into successful global citizens.
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 200 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.
Download or read book War of the Spark Ravnica Magic The Gathering written by Greg Weisman and published by Random House Worlds. This book was released on 2019-04-23 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER • Experience the first official adventure in Magic: The Gathering’s multiverse in nearly a decade as the ultimate battle begins on Ravnica. Teyo Verada wants nothing more than to be a shieldmage, wielding arcane energies to protect his people from his world’s vicious diamondstorms. When he’s buried alive in the aftermath of his first real tempest, the young mage’s life is about to end before it can truly begin—until it doesn’t. In a flash, a power he didn’t know he had whisks him away from his home, to a world of stone, glass, and wonder: Ravnica. Teyo is a Planeswalker, one of many to be called to the world-spanning city—all lured by Nicol Bolas, the Elder Dragon. Bolas lays siege to the city of Ravnica, hungry for the ultimate prize: godhood itself. His unparalleled magic and unstoppable army appear poised to bring the city to utter ruin. Among those who stand in the way of Bolas’s terrifying machinations are the Gatewatch, Planeswalkers sworn to defeat evil, no matter where it’s found. But as they work to unite the other mages and mount a defense of the city and its people, the terrifying truth of Bolas’s plan becomes clear. The Elder Dragon has prepared a trap to ensnare the most powerful mages from across the Multiverse—and it’s too late to escape. As forces great and small converge on the city and the battle rages, the stakes could not be higher. If the Gatewatch falters and the Planeswalkers fail, the curtain will fall on the age of heroes—and rise on the infinite reign of Nicol Bolas.
