Download or read book Seed Spark written by 180 Studio and published by 180 Press. This book was released on 2020-10-02 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Seed + Spark takes its readers in search of a better understanding of the future of learning - and, by extension, the future of humanity. Believing "the future is already here; it's just not evenly distributed," Seed + Spark provides a framework for remaking our schools, our workspaces, and our social structures in ways that align with the design principles of the natural world. The result is an eclectic, provocative series of interviews, ideas, and case studies in which parallel worlds collide, and our basic understanding of our place on the planet is forever altered.
Download or read book House Documents written by USA House of Representatives and published by . This book was released on 1870 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Bulletin written by Georgia Experiment Station and published by . This book was released on 1912 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reports of the for written by Dominion Experimental Farms and Stations (Canada) and published by . This book was released on 1911 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book House documents written by and published by . This book was released on 1881 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reports written by Canada. Experimental Farms and published by . This book was released on 1911 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Annual Report written by USA Patent Office and published by . This book was released on 1881 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Fast Data Processing with Spark 2 written by Krishna Sankar and published by Packt Publishing Ltd. This book was released on 2016-10-24 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use Spark to process big data at speed and scale for sharper analytics. Put the principles into practice for faster, slicker big data projects. About This Book A quick way to get started with Spark – and reap the rewards From analytics to engineering your big data architecture, we've got it covered Bring your Scala and Java knowledge – and put it to work on new and exciting problems Who This Book Is For This book is for developers with little to no knowledge of Spark, but with a background in Scala/Java programming. It's recommended that you have experience in dealing and working with big data and a strong interest in data science. What You Will Learn Install and set up Spark in your cluster Prototype distributed applications with Spark's interactive shell Perform data wrangling using the new DataFrame APIs Get to know the different ways to interact with Spark's distributed representation of data (RDDs) Query Spark with a SQL-like query syntax See how Spark works with big data Implement machine learning systems with highly scalable algorithms Use R, the popular statistical language, to work with Spark Apply interesting graph algorithms and graph processing with GraphX In Detail When people want a way to process big data at speed, Spark is invariably the solution. With its ease of development (in comparison to the relative complexity of Hadoop), it's unsurprising that it's becoming popular with data analysts and engineers everywhere. Beginning with the fundamentals, we'll show you how to get set up with Spark with minimum fuss. You'll then get to grips with some simple APIs before investigating machine learning and graph processing – throughout we'll make sure you know exactly how to apply your knowledge. You will also learn how to use the Spark shell, how to load data before finding out how to build and run your own Spark applications. Discover how to manipulate your RDD and get stuck into a range of DataFrame APIs. As if that's not enough, you'll also learn some useful Machine Learning algorithms with the help of Spark MLlib and integrating Spark with R. We'll also make sure you're confident and prepared for graph processing, as you learn more about the GraphX API. Style and approach This book is a basic, step-by-step tutorial that will help you take advantage of all that Spark has to offer.
Download or read book PhenomX 1 written by John Leguizamo and published by Image Comics. This book was released on 2021-11-10 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wrongfully imprisoned and desperate to regain his freedom, Max Gomez agrees to become a subject in an underground government experiment. When the trial gives him phenomenal shape-shifting abilities, Gomez learns his new “freedom” requires surviving a superpowered war fought on the streets of NYC.
Download or read book Kabbalah written by Rabbi Lawrence Kushner and published by Crown. This book was released on 2006-10-10 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sometime, somewhere, someone is searching for answers . . . . . . in a thirteenth-century castle . . . on a train to a concentration camp . . . in a New York city apartment Hidden within the binding of an ancient text that has been passed down through the ages lies the answer to one of the heart’s eternal questions. When the text falls into the hands of Rabbi Kalman Stern, he has no idea that his lonely life of intellectual pursuits is about to change once he opens the book. Soon afterward, he meets astronomer Isabel Benveniste, a woman of science who stirs his soul as no woman has for many years. But Kalman has much to learn before he can unlock his heart and let true love into his life. The key lies in the mysterious document he finds inside the Zohar, the master text of the Kabbalah.
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 603 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 Experimental Farms written by Canada. Experimental Farms Service and published by . This book was released on 1911 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Analytics with Spark Using Python written by Jeffrey Aven and published by Addison-Wesley Professional. This book was released on 2018-06-18 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solve Data Analytics Problems with Spark, PySpark, and Related Open Source Tools Spark is at the heart of today’s Big Data revolution, helping data professionals supercharge efficiency and performance in a wide range of data processing and analytics tasks. In this guide, Big Data expert Jeffrey Aven covers all you need to know to leverage Spark, together with its extensions, subprojects, and wider ecosystem. Aven combines a language-agnostic introduction to foundational Spark concepts with extensive programming examples utilizing the popular and intuitive PySpark development environment. This guide’s focus on Python makes it widely accessible to large audiences of data professionals, analysts, and developers—even those with little Hadoop or Spark experience. Aven’s broad coverage ranges from basic to advanced Spark programming, and Spark SQL to machine learning. You’ll learn how to efficiently manage all forms of data with Spark: streaming, structured, semi-structured, and unstructured. Throughout, concise topic overviews quickly get you up to speed, and extensive hands-on exercises prepare you to solve real problems. Coverage includes: • Understand Spark’s evolving role in the Big Data and Hadoop ecosystems • Create Spark clusters using various deployment modes • Control and optimize the operation of Spark clusters and applications • Master Spark Core RDD API programming techniques • Extend, accelerate, and optimize Spark routines with advanced API platform constructs, including shared variables, RDD storage, and partitioning • Efficiently integrate Spark with both SQL and nonrelational data stores • Perform stream processing and messaging with Spark Streaming and Apache Kafka • Implement predictive modeling with SparkR and Spark MLlib
Download or read book Beginning Apache Spark 2 written by Hien Luu and published by Apress. This book was released on 2018-08-16 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, you’ll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you’ll learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. What You Will Learn Understand Spark unified data processing platform How to run Spark in Spark Shell or Databricks Use and manipulate RDDs Deal with structured data using Spark SQL through its operations and advanced functions Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library Who This Book Is For Programmers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform.
Download or read book Reports from the Director Division of Chemistry written by Canada. Experimental Farms Service and published by . This book was released on 1911 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sessional Papers written by Canada. Parliament and published by . This book was released on 1912 with total page 1022 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Report of the Dominion fishery commission on the fisheries of the province of Ontario, 1893", issued as vol. 26, no. 7, supplement.
Download or read book Farm Implement News Buyer s Guide written by Farm Implement News Co., Chicago and published by . This book was released on 1902 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:
