Spark 1 Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Spark 1 book. This book definitely worth reading, it is an incredibly well-written.
As the evil Nacht spreads his darkness across the valley, Tom and his friends, the Bone family, desperately try to find the Spark that will heal the Dreaming and save the world.
A Magic Spark: An Acorn Book (Fairylight Friends #1) by Jessica Young Pdf
Fly along with the Fairylight Friends -- Ruby, Iris, and Pip -- in this magical early reader series! Pick a Book. Grow a Reader!This series is part of Scholastic's early reader line, Acorn, aimed at children who are learning to read. With easy-to-read text, a short-story format, plenty of humor, and full-color artwork on every page, these books will boost reading confidence and fluency. Acorn books plant a love of reading and help readers grow!Ruby, Iris, and Pip go to fairy school together and they are best friends. Ruby loves to make art, Iris loves to fly fast, and Pip loves to grow things. Now, each of them must discover their special fairy power. Fly along with these fairy friends on their magical adventures, as they bake a snazzy cake, zoom across the night sky, and plan a big surprise party. With easy-to-read text and full-color artwork throughout, this sparkly early reader series is perfect for beginning readers!
Apache Spark Graph Processing by Rindra Ramamonjison Pdf
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.
Erroh has a plan. A simple plan. It'll never work. Despite his family's warrior pedigree, he'd rather gamble and drink while living from one tavern to the next. But when his wanderings bring him upon a gruesome slaughter of innocents he is torn from carefree ways. Spark City is on the horizon and with it the mysterious trials of The Cull. After a life spent rejecting his birth right, the time has come to pick up his sword and accept his destiny. With an army marching forward, and unlikely companions buy his side, does Erroh have what it takes to stop the coming war? Spark City is the gripping first novel in Robert J Power's best selling epic fantasy series. If you like spectacular combat, unlikely heroes, and slow burn romance, you'll love this thrilling tale. Now availalbe in Large Print Buy Spark City to embrace your calling today!
Death by design. Evie doesn’t have a choice. One day she’s an ordinary seventeen year old, grieving for her mother. The next, she’s a Shield, the result of a decades-old experiment gone wrong, bound by DNA to defend her best friend from an unknown killer. The threat could come at home, at school, anywhere. All Evie knows is that it will be a fight to the death. And then there’s Jamie. Irresistible. Off-limits. Spark is the first novel in a gripping young adult fiction series by New Zealand author Rachael Craw. This science fiction thriller about genetically engineered individuals with superhuman abilities is perfect for fans of Vampire Academy, Matched and Divergent. Love, chaos, murder … it all begins with a spark. How will it end? Find out in Stray (Book 2) and Shield (Book 3). To read more visit www.rachaelcraw.com “Spark is perfect for 14-year-olds who liked Scott Westerfeld’s ‘Uglies’ series and Suzanne Collins’ ‘The Hunger Games’ trilogy. 5/5 stars.” – Books+Publishing
We've all read about the experts: the artists, the scientists, the engineers—that special group of people known as Imagineers for The Walt Disney Company. But who are they? How did they join the team? What is it like to spend a day in their shoes? Disney Legend Marty Sklar wants to give back to fans and answer these burning questions. When Marty was president of Walt Disney Imagineering, he created a list of principles and ideals for the team, aptly named Mickey's Ten Commandments. Using this code of standards as his organizational flow, Marty provides readers with insights and advice from himself and dozens of hands-on Imagineers from around the globe. It's a true insider's look like no other!
He’ll do anything for his family… Donovan “Donny” Steel is on a partnership track with a major Denver law firm. He loves his city career and his luxurious downtown loft, and life is going just how he planned it…until his mother, the city attorney for his hometown of Snow Creek, Colorado, asks him to move back and work for her when her assistant retires. Mom asks? Donny goes. Because he’ll do anything for the family who took him in twenty-five years ago. The fact that he can pick up where he left off with gorgeous Callie Pike is simply a fringe benefit. Caroline “Callie” Pike was looking forward to finally beginning law school at age twenty-six, but the western slope fire that destroyed most of her family’s vineyards put that plan on hold. At least she has Donny Steel’s return to look forward to. After she spent an evening with him at a recent party, he hasn’t strayed far from her mind. When Donny and Callie meet again, sparks do more than fly. They shoot like rockets to the stars. But their chemistry can’t protect them from the emerging mysteries regarding the Steel family’s past…or the secret Callie is keeping as well.
A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters About This Book This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structured Streaming, DataFrame based ML Pipelines and SparkR. Integrations with frameworks such as HDFS, YARN and tools such as Jupyter, Zeppelin, NiFi, Mahout, HBase Spark Connector, GraphFrames, H2O and Hivemall. Who This Book Is For Though this book is primarily aimed at data analysts and data scientists, it will also help architects, programmers, and practitioners. Knowledge of either Spark or Hadoop would be beneficial. It is assumed that you have basic programming background in Scala, Python, SQL, or R programming with basic Linux experience. Working experience within big data environments is not mandatory. What You Will Learn Find out and implement the tools and techniques of big data analytics using Spark on Hadoop clusters with wide variety of tools used with Spark and Hadoop Understand all the Hadoop and Spark ecosystem components Get to know all the Spark components: Spark Core, Spark SQL, DataFrames, DataSets, Conventional and Structured Streaming, MLLib, ML Pipelines and Graphx See batch and real-time data analytics using Spark Core, Spark SQL, and Conventional and Structured Streaming Get to grips with data science and machine learning using MLLib, ML Pipelines, H2O, Hivemall, Graphx, SparkR and Hivemall. In Detail Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters. It is moving away from MapReduce to Spark. So, advantages of Spark over MapReduce are explained at great depth to reap benefits of in-memory speeds. DataFrames API, Data Sources API and new Data set API are explained for building Big Data analytical applications. Real-time data analytics using Spark Streaming with Apache Kafka and HBase is covered to help building streaming applications. New Structured streaming concept is explained with an IOT (Internet of Things) use case. Machine learning techniques are covered using MLLib, ML Pipelines and SparkR and Graph Analytics are covered with GraphX and GraphFrames components of Spark. Readers will also get an opportunity to get started with web based notebooks such as Jupyter, Apache Zeppelin and data flow tool Apache NiFi to analyze and visualize data. Style and approach This step-by-step pragmatic guide will make life easy no matter what your level of experience. You will deep dive into Apache Spark on Hadoop clusters through ample exciting real-life examples. Practical tutorial explains data science in simple terms to help programmers and data analysts get started with Data Science
Ruby, Iris, and Pip first met on their first day of fairy school, and they immediately became best friends, testing their wings, and enjoying their magical adventures--but sometimes it takes a little time for a fairy to find her true magic spark.