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Learning Spark

Learning Spark Book
Author : Holden Karau,Andy Konwinski,Patrick Wendell,Matei Zaharia
Publisher : "O'Reilly Media, Inc."
Release : 2015-01-28
ISBN : 1449359051
Language : En, Es, Fr & De

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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

Spark Book
Author : John Twelve Hawks
Publisher : Random House
Release : 2014-10-09
ISBN : 1448171628
Language : En, Es, Fr & De

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Book Description :

This standout, distinctive novel will shake your perception of what a thriller should be, and what it can do. From the elusive Sunday Times bestselling author John Twelve Hawks, for fans of Scott Mariani, Philip K. Dick and Michael Connolly. 'Breathless action. . . . Twelve Hawks sets up the battles in Spark as more than simple combat. His appeal lies in his pairing of one system of belief against another and letting them duke it out.' - THE NEW YORK TIMES 'Like Philip K Dick's best novels, [Spark] is insidious and troubling, its most profound points made with disarming casualness.' - THE GUARDIAN 'A fantastic blend of action and deeper questions about what it means to be human.' - THE WASHINGTON POST 'Twelve Hawks, like a character in his story, is untethered by technology and unreachable by the tentacles of the Vast Machine. He is a free spirit, a lone voice of reason in a data-fogged world.' - SAN FRANCISCO CHRONICLE ********************************************************************** JACOB UNDERWOOD IS NOT LIKE OTHER PEOPLE. He has Cotard's Syndrome. He believes he is dead. This makes his job as a hired assassin neutralising 'problems' for DBG, a massive multinational corporation, very simple. He carries out the task - and feels nothing. Now DBG has such a problem. A key employee, Emily Buchanan, has disappeared, taking with her a fortune and priceless information which could destroy the company. Jacob must track her down. In previous assignments, he had worked with cold logical precision, but this time he has to confront a threat that he first must understand before it destroys him... Further praise for SPARK: 'Darkly futuristic . . . with a protagonist unlike any other.' - Austin Chronicle 'An adrenaline-charged thriller- endlessly inventive- that winds through a landscape of cutting-edge technology with great assurance and skill.' - Lincoln Child, New York Times bestselling author of The Third Gate 'Spark is a marvel. An utterly gripping, unbelievably imaginative tale with all the heart, drive, and humanity that its hero, Jacob Underwood, a contract assassin, lacks. . . . At once a heart pounding thriller, a bitter indictment of our growing surveillance state, and a life affirming story of the indomitability of the human heart.' - Christopher Reich, New York Times bestselling author of Rules of Deception 'From start to finish Spark defies expectation, joining a 'dead' man's cold regard with suspense at fever pitch.' - Locus 'As good as the Fourth Realm books were, this one may be even more appealing: less fantastic, more grounded in a contemporary real world, with a narrator who is deeply scarred and endlessly fascinating.' - Booklist (starred review)

Apache Spark Graph Processing

Apache Spark Graph Processing Book
Author : Rindra Ramamonjison
Publisher : Packt Publishing Ltd
Release : 2015-09-10
ISBN : 1784398950
Language : En, Es, Fr & De

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Book Description :

Build, process and analyze large-scale graph data effectively with Spark About This Book Find solutions for every stage of data processing from loading and transforming graph data to Improve the scalability of your graphs with a variety of real-world applications with complete Scala code. A concise guide to processing large-scale networks with Apache Spark. Who This Book Is For This book is for data scientists and big data developers who want to learn the processing and analyzing graph datasets at scale. Basic programming experience with Scala is assumed. Basic knowledge of Spark is assumed. What You Will Learn Write, build and deploy Spark applications with the Scala Build Tool. Build and analyze large-scale network datasets Analyze and transform graphs using RDD and graph-specific operations Implement new custom graph operations tailored to specific needs. Develop iterative and efficient graph algorithms using message aggregation and Pregel abstraction Extract subgraphs and use it to discover common clusters Analyze graph data and solve various data science problems using real-world datasets. In Detail Apache Spark is the next standard of open-source cluster-computing engine for processing big data. Many practical computing problems concern large graphs, like the Web graph and various social networks. The scale of these graphs - in some cases billions of vertices, trillions of edges - poses challenges to their efficient processing. Apache Spark GraphX API combines the advantages of both data-parallel and graph-parallel systems by efficiently expressing graph computation within the Spark data-parallel framework. This book will teach the user to do graphical programming in Apache Spark, apart from an explanation of the entire process of graphical data analysis. You will journey through the creation of graphs, its uses, its exploration and analysis and finally will also cover the conversion of graph elements into graph structures. This book begins with an introduction of the Spark system, its libraries and the Scala Build Tool. Using a hands-on approach, this book will quickly teach you how to install and leverage Spark interactively on the command line and in a standalone Scala program. Then, it presents all the methods for building Spark graphs using illustrative network datasets. Next, it will walk you through the process of exploring, visualizing and analyzing different network characteristics. This book will also teach you how to transform raw datasets into a usable form. In addition, you will learn powerful operations that can be used to transform graph elements and graph structures. Furthermore, this book also teaches how to create custom graph operations that are tailored for specific needs with efficiency in mind. The later chapters of this book cover more advanced topics such as clustering graphs, implementing graph-parallel iterative algorithms and learning methods from graph data. Style and approach A step-by-step guide that will walk you through the key ideas and techniques for processing big graph data at scale, with practical examples that will ensure an overall understanding of the concepts of Spark.

High Performance Spark

High Performance Spark Book
Author : Holden Karau,Rachel Warren
Publisher : "O'Reilly Media, Inc."
Release : 2017-05-25
ISBN : 1491943173
Language : En, Es, Fr & De

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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

Student book

Student book Book
Author : Virginia Evans,Jenny Dooley
Publisher : Unknown
Release : 2010*
ISBN : 9781849746670
Language : En, Es, Fr & De

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Book Description :

Download Student book book written by Virginia Evans,Jenny Dooley, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Inner Spark

Inner Spark Book
Author : Kristin Vikjord
Publisher : Pan Macmillan
Release : 2020-09-17
ISBN : 1529043611
Language : En, Es, Fr & De

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Book Description :

'Inner Spark is a book that will help you move through difficult times, and remind you of your own greatness.' – Deepak Chopra 'Where psychological insight meets day-to-day wellbeing' Stylist Kristin Vikjord presents a practical toolkit of exercises to help find, regain and nurture your inner spark. Drawing on her experiences as a Clinical Psychologist and yoga and mindfulness facilitator, Kristin combines these complementary, integrative therapies for a book that has the scientific mind of a psychologist and the heart and soul of yoga teacher. In Inner Spark, Kristin offers practical activities that match up to the three sections of the book and explains how pathways in the brain work, showing how, and crucially why, it's important for anyone navigating a difficult time, physically or mentally, to have a toolkit for re-connection. Kristin Vikjord has effectively harnessed the long Scandinavian winters to stoke her own inner spark and created this guide that will help readers embrace the challenges of modern life, from burnout to navigating new parenthood.

Muriel Spark

Muriel Spark Book
Author : David Herman
Publisher : JHU Press
Release : 2010-06
ISBN : 0801895537
Language : En, Es, Fr & De

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Book Description :

"A substantial addition to Spark criticism, of which there has been surprisingly little published in recent years."--Aileen Christianson, University of Edinburgh --Book Jacket.

Spark to a Waiting Fuse

Spark to a Waiting Fuse Book
Author : James K. Baxter,Noel Ginn
Publisher : Victoria University Press
Release : 2001
ISBN : 9780864734006
Language : En, Es, Fr & De

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Book Description :

A landmark in New Zealand literary scholarship, this book provides an extraordinary insight into the formative years of one of New Zealand's most significant poets. Included are 56 letters written by James K. Baxter to his slightly older friend, Noel Ginn, who was at the time imprisoned as a conscientious objector. In these letters, a teenage Baxter pours out his ideas and feelings on life, philosophy, and his own work. Included are the complete texts of the 255 poems written at the time and discussed in the letters. The introduction, an important work of biographical criticism in its own right, puts Baxter's ideas and interests within the context of the wider public events and intellectual and spiritual currents of his time.

Pro Spark Streaming

Pro Spark Streaming Book
Author : Zubair Nabi
Publisher : Apress
Release : 2016-06-13
ISBN : 148421479X
Language : En, Es, Fr & De

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Book Description :

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.

Spark

Spark Book
Author : Michelle M. Pillow
Publisher : The Raven Books LLC
Release : 2016-10-01
ISBN : 1625011393
Language : En, Es, Fr & De

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Book Description :

Earth women better watch out. Things are about to heat up. NYT Bestselling Author, Michelle M. Pillow, shows what happens when hot aliens looking for love land in Las Vegas, the city of decadence and sin. Mining ash on a remote planet where temperatures reach hellish degrees doesn't leave Kal (aka Spark) much room for dating. Lucky for this hard-working man, a new corporation Galaxy Alien Mail Order Brides is ready to help him find the girl of his dreams. Does it really matter that he lied on his application and really isn’t looking for long term, but rather some fast action? Earth women better watch out. Things are about to heat up. Galaxy Alien Mail Order Brides series: Spark Flame Blaze Ice Frost Snow Genres: Paranormal, Science Fiction, Fantasy, Sci-Fi, Alien Romance, Paranormal Romance, Alpha Male, Romance, fated mates, action and adventure, romantic comedy, fantasy, sci-fi, Science Fiction & Fantasy, First Contact, alien contact, comedy, galactic romance, galactic quest, hea, humor, humorous romance, romance, romantic adventure, sfr, sci-fi romance, space adventure, space adventure, space exploration, space romance, miner, blue collar hero, contemporary, Las Vegas, mail order brides, interstellar romance A Qurilixen World Novella The Qurilixen World is an extensive collection of paranormal, fantasy, and science fiction romance novels by award-winning author, Michelle M. Pillow, and includes several series installments: Dragon Lords, Lords of the Var, Space Lords, Captured by a Dragon-shifter, Galaxy Alien Mail Order Brides, Dynasty Lords, Qurilixen Lords, and more. Intergalactic Dating Agency

Learning Spark SQL

Learning Spark SQL Book
Author : Aurobindo Sarkar
Publisher : Packt Publishing Ltd
Release : 2017-09-07
ISBN : 1785887351
Language : En, Es, Fr & De

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Book Description :

Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API About This Book Learn about the design and implementation of streaming applications, machine learning pipelines, deep learning, and large-scale graph processing applications using Spark SQL APIs and Scala. Learn data exploration, data munging, and how to process structured and semi-structured data using real-world datasets and gain hands-on exposure to the issues and challenges of working with noisy and "dirty" real-world data. Understand design considerations for scalability and performance in web-scale Spark application architectures. Who This Book Is For If you are a developer, engineer, or an architect and want to learn how to use Apache Spark in a web-scale project, then this is the book for you. It is assumed that you have prior knowledge of SQL querying. A basic programming knowledge with Scala, Java, R, or Python is all you need to get started with this book. What You Will Learn Familiarize yourself with Spark SQL programming, including working with DataFrame/Dataset API and SQL Perform a series of hands-on exercises with different types of data sources, including CSV, JSON, Avro, MySQL, and MongoDB Perform data quality checks, data visualization, and basic statistical analysis tasks Perform data munging tasks on publically available datasets Learn how to use Spark SQL and Apache Kafka to build streaming applications Learn key performance-tuning tips and tricks in Spark SQL applications Learn key architectural components and patterns in large-scale Spark SQL applications In Detail In the past year, Apache Spark has been increasingly adopted for the development of distributed applications. Spark SQL APIs provide an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Hence, understanding the design and implementation best practices before you start your project will help you avoid these problems. This book gives an insight into the engineering practices used to design and build real-world, Spark-based applications. The book's hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL. It starts by familiarizing you with data exploration and data munging tasks using Spark SQL and Scala. Extensive code examples will help you understand the methods used to implement typical use-cases for various types of applications. You will get a walkthrough of the key concepts and terms that are common to streaming, machine learning, and graph applications. You will also learn key performance-tuning details including Cost Based Optimization (Spark 2.2) in Spark SQL applications. Finally, you will move on to learning how such systems are architected and deployed for a successful delivery of your project. Style and approach This book is a hands-on guide to designing, building, and deploying Spark SQL-centric production applications at scale.

Scala and Spark for Big Data Analytics

Scala and Spark for Big Data Analytics Book
Author : Md. Rezaul Karim,Sridhar Alla
Publisher : Packt Publishing Ltd
Release : 2017-07-25
ISBN : 1783550503
Language : En, Es, Fr & De

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Book Description :

Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye! About This Book Learn Scala's sophisticated type system that combines Functional Programming and object-oriented concepts Work on a wide array of applications, from simple batch jobs to stream processing and machine learning Explore the most common as well as some complex use-cases to perform large-scale data analysis with Spark Who This Book Is For Anyone who wishes to learn how to perform data analysis by harnessing the power of Spark will find this book extremely useful. No knowledge of Spark or Scala is assumed, although prior programming experience (especially with other JVM languages) will be useful to pick up concepts quicker. What You Will Learn Understand object-oriented & functional programming concepts of Scala In-depth understanding of Scala collection APIs Work with RDD and DataFrame to learn Spark's core abstractions Analysing structured and unstructured data using SparkSQL and GraphX Scalable and fault-tolerant streaming application development using Spark structured streaming Learn machine-learning best practices for classification, regression, dimensionality reduction, and recommendation system to build predictive models with widely used algorithms in Spark MLlib & ML Build clustering models to cluster a vast amount of data Understand tuning, debugging, and monitoring Spark applications Deploy Spark applications on real clusters in Standalone, Mesos, and YARN In Detail Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you. The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment. You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio. By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big. Style and approach Filled with practical examples and use cases, this book will hot only help you get up and running with Spark, but will also take you farther down the road to becoming a data scientist.

IBM Data Engine for Hadoop and Spark

IBM Data Engine for Hadoop and Spark Book
Author : Dino Quintero,Luis Bolinches,Aditya Gandakusuma Sutandyo,Nicolas Joly,Reinaldo Tetsuo Katahira,IBM Redbooks
Publisher : IBM Redbooks
Release : 2016-08-24
ISBN : 0738441937
Language : En, Es, Fr & De

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Book Description :

This IBM® Redbooks® publication provides topics to help the technical community take advantage of the resilience, scalability, and performance of the IBM Power SystemsTM platform to implement or integrate an IBM Data Engine for Hadoop and Spark solution for analytics solutions to access, manage, and analyze data sets to improve business outcomes. This book documents topics to demonstrate and take advantage of the analytics strengths of the IBM POWER8® platform, the IBM analytics software portfolio, and selected third-party tools to help solve customer's data analytic workload requirements. This book describes how to plan, prepare, install, integrate, manage, and show how to use the IBM Data Engine for Hadoop and Spark solution to run analytic workloads on IBM POWER8. In addition, this publication delivers documentation to complement available IBM analytics solutions to help your data analytic needs. This publication strengthens the position of IBM analytics and big data solutions with a well-defined and documented deployment model within an IBM POWER8 virtualized environment so that customers have a planned foundation for security, scaling, capacity, resilience, and optimization for analytics workloads. This book is targeted at technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering analytics solutions and support on IBM Power Systems.

Spark

Spark Book
Author : Amy Kathleen Ryan
Publisher : Pan Macmillan
Release : 2012-08-02
ISBN : 1447230329
Language : En, Es, Fr & De

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Book Description :

The heart-stopping, action-packed sequel to GLOW. Onboard the Empyrean - Seth is mysteriously released from his cell in the brig when an explosion rocks the ship. Kieran accuses Seth of causing the explosion but it has in fact been caused by a saboteur - a stowaway from the New Horizon - who is using Seth to cover his tracks. Waverly agrees to help Seth on his mission to find the stowaway, but is punished by Kieran for colluding with Seth. How will the thorny, passionate love triangle between Waverly, Seth and Kieran resolve itself?

Spark

Spark Book
Author : John Twelve Hawks
Publisher : Vintage
Release : 2014-10-07
ISBN : 0385538685
Language : En, Es, Fr & De

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Book Description :

THE MOST DANGEROUS ASSASSIN IS THE ONE WHO BELIEVES HE IS ALREADY DEAD. A razor-sharp, high-tech, wildly imaginative new novel from internationally bestselling author John Twelve Hawks, Spark features a narrator unlike any in recent fiction—a man whose view of life and death is different from anything you’ve ever imagined. Jacob Underwood is a contract employee of the Special Services Section, a small shadow department buried within the multinational corporation DBG, headquartered in New York City. Jacob is not a businessman . . . he is a hired assassin . . . and his job is to neutralize problems deemed unacceptable by the corporation. But Jacob is not like other employees, nor is he like other people. After a catastrophic motorcycle accident leaves him with Cotard’s syndrome—an actual condition that causes those afflicted to believe they are dead—Jacob perceives himself as nothing but a “Shell,” with no emotions and no tether to the concept of right and wrong. Emily Buchanan is a bright young second-year associate for DBG, and she has disappeared without a trace. Suspecting that Emily has stolen either vast sums of money or valuable information from the company, Ms. Holquist, Jacob’s handler at DBG, assigns him the task of tracking down the young woman and neutralizing her. Jacob’s condition allows him to carry out assignments with ruthless, logical precision, devoid of guilt, fear, or dishonor. But as his new assignment draws him inside a labyrinthine network of dark dealings, Jacob finds himself up against something he is completely incapable of understanding. Shifting with riveting precision from New York to London, Paris to New Delhi, Spark is a thriller that delves into the surveillance state we prognosticate today . . . and will live in tomorrow. In the hands of master storyteller John Twelve Hawks, a unique character’s startling transformation comes to life, making Spark a thriller that resonates and satisfies on many levels.

Apache Spark Deep Learning Cookbook

Apache Spark Deep Learning Cookbook Book
Author : Ahmed Sherif,Amrith Ravindra
Publisher : Packt Publishing Ltd
Release : 2018-07-13
ISBN : 1788471555
Language : En, Es, Fr & De

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Book Description :

A solution-based guide to put your deep learning models into production with the power of Apache Spark Key Features Discover practical recipes for distributed deep learning with Apache Spark Learn to use libraries such as Keras and TensorFlow Solve problems in order to train your deep learning models on Apache Spark Book Description With deep learning gaining rapid mainstream adoption in modern-day industries, organizations are looking for ways to unite popular big data tools with highly efficient deep learning libraries. As a result, this will help deep learning models train with higher efficiency and speed. With the help of the Apache Spark Deep Learning Cookbook, you’ll work through specific recipes to generate outcomes for deep learning algorithms, without getting bogged down in theory. From setting up Apache Spark for deep learning to implementing types of neural net, this book tackles both common and not so common problems to perform deep learning on a distributed environment. In addition to this, you’ll get access to deep learning code within Spark that can be reused to answer similar problems or tweaked to answer slightly different problems. You will also learn how to stream and cluster your data with Spark. Once you have got to grips with the basics, you’ll explore how to implement and deploy deep learning models, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) in Spark, using popular libraries such as TensorFlow and Keras. By the end of the book, you'll have the expertise to train and deploy efficient deep learning models on Apache Spark. What you will learn Set up a fully functional Spark environment Understand practical machine learning and deep learning concepts Apply built-in machine learning libraries within Spark Explore libraries that are compatible with TensorFlow and Keras Explore NLP models such as Word2vec and TF-IDF on Spark Organize dataframes for deep learning evaluation Apply testing and training modeling to ensure accuracy Access readily available code that may be reusable Who this book is for If you’re looking for a practical and highly useful resource for implementing efficiently distributed deep learning models with Apache Spark, then the Apache Spark Deep Learning Cookbook is for you. Knowledge of the core machine learning concepts and a basic understanding of the Apache Spark framework is required to get the best out of this book. Additionally, some programming knowledge in Python is a plus.

Big Data Processing with Apache Spark

Big Data Processing with Apache Spark Book
Author : Srini Penchikala
Publisher : Lulu.com
Release : 2021-09-21
ISBN : 1387659952
Language : En, Es, Fr & De

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Book Description :

Download Big Data Processing with Apache Spark book written by Srini Penchikala, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Spark

Spark Book
Author : Jennifer Ryder,Lauren Clark
Publisher : Jennifer Ryder
Release : 2021-01-18
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Not many people know that I, Eevie Lawson, have a problem. An addiction to romance novels. I eat them for breakfast. I hide it the best I can, but I need them to breathe. It’s how I cope. I’ve had a swag of book boyfriends, but now that I’m free from the responsibility of caring for my three younger brothers, it’s time to find one in the flesh. In real life, no girl meets their hero on page one, or even at the end of chapter one. I should know. My journey is real. It’s not perfect, and it sure as hell isn’t easy—but the fight for something worthwhile never is. *Recommended for readers over 18 as contains adult themes.

Spark

Spark Book
Author : Catherine Friend
Publisher : Bold Strokes Books Inc
Release : 2017-08-15
ISBN : 162639931X
Language : En, Es, Fr & De

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Book Description :

Jamie Maddox is worried about her grip on reality. Has her consciousness really been transported back to 1560, landing in the body of Blanche Nottingham? Not good, since Blanche, a lady-in-waiting for Queen Elizabeth I, is plotting a murder. The other possibility that Jamie faces? She’s had a psychotic break that has trapped her in an Elizabethan fantasy while another personality—let’s call her Blanche—has taken control of Jamie’s life and is jeopardizing everything. Jamie is repeatedly zapped back and forth between the present and 1560 (or in and out of that twisted fantasy). Betrayal, murder, thunderstorms, and two doctors complicate everything as Jamie and Blanche battle to control Jamie’s body. Just as Jamie is running out of both hope and time, help—and love—come from a most unexpected place.

Spark

Spark Book
Author : Emily Parfett
Publisher : Lulu.com
Release : 2021-09-21
ISBN : 1471768589
Language : En, Es, Fr & De

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Book Description :

Download Spark book written by Emily Parfett, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.