Spark

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Spark Discharge

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Author : Eduard M. Bazelyan
language : en
Publisher: CRC Press
Release Date : 1997-08-21

Spark Discharge written by Eduard M. Bazelyan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-08-21 with Science categories.

Spark Discharge is a first-of-its-kind text, providing a comprehensive and systematic description of the spark breakdown of long gas gaps. It discusses the nature of a long spark, physical peculiarities of relevant gas discharge processes, methods and results of experimental studies, and analytical and numerical models. The most important applications in high-voltage engineering are covered in a single volume. The straightforward presentation of complicated materials, the deep insight into the nature of the processes, and the simplified mathematical descriptions of the phenomena, make Spark Discharge an excellent textbook for students and an indispensable reference for researchers, physicists, and engineers.

Learning Real Time Processing With Spark Streaming

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Author : Sumit Gupta
language : en
Publisher:
Release Date : 2015-09-28

Learning Real Time Processing With Spark Streaming written by Sumit Gupta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-28 with Computers categories.

Building scalable and fault-tolerant streaming applications made easy with Spark streamingAbout This Book• Process live data streams more efficiently with better fault recovery using Spark Streaming• Implement and deploy real-time log file analysis• Learn about integration with Advance Spark Libraries – GraphX, Spark SQL, and MLib.Who This Book Is ForThis book is intended for big data developers with basic knowledge of Scala but no knowledge of Spark. It will help you grasp the basics of developing real-time applications with Spark and understand efficient programming of core elements and applications.What You Will Learn• Install and configure Spark and Spark Streaming to execute applications• Explore the architecture and components of Spark and Spark Streaming to use it as a base for other libraries• Process distributed log files in real-time to load data from distributed sources• Apply transformations on streaming data to use its functions• Integrate Apache Spark with the various advance libraries like MLib and GraphX• Apply production deployment scenarios to deploy your applicationIn DetailUsing practical examples with easy-to-follow steps, this book will teach you how to build real-time applications with Spark Streaming.Starting with installing and setting the required environment, you will write and execute your first program for Spark Streaming. This will be followed by exploring the architecture and components of Spark Streaming along with an overview of libraries/functions exposed by Spark. Next you will be taught about various client APIs for coding in Spark by using the use-case of distributed log file processing. You will then apply various functions to transform and enrich streaming data. Next you will learn how to cache and persist datasets. Moving on you will integrate Apache Spark with various other libraries/components of Spark like Mlib, GraphX, and Spark SQL. Finally, you will learn about deploying your application and cover the different scenarios ranging from standalone mode to distributed mode using Mesos, Yarn, and private data centers or on cloud infrastructure.Style and approachA Step-by-Step approach to learn Spark Streaming in a structured manner, with detailed explanation of basic and advance features in an easy-to-follow Style. Each topic is explained sequentially and supported with real world examples and executable code snippets that appeal to the needs of readers with the wide range of experiences.

The Spark

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Author : Chris Downie
language : en
Publisher: Hay House, Inc
Release Date : 2009-12-29

The Spark written by Chris Downie and has been published by Hay House, Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-29 with Health & Fitness categories.

From the experts who created SparkPeople.com, one of the most successful online weight-loss programs to date, comes The Spark, a ground-breaking book that focuses on what you can do, instead of what you can't do.

Big Data Processing With Apache Spark

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Author : Srini Penchikala
language : en
Publisher: Lulu.com
Release Date : 2018-03-13

Big Data Processing With Apache Spark written by Srini Penchikala and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-13 with Computers categories.

Apache Spark is a popular open-source big-data processing framework thatÕs built around speed, ease of use, and unified distributed computing architecture. Not only it supports developing applications in different languages like Java, Scala, Python, and R, itÕs also hundred times faster in memory and ten times faster even when running on disk compared to traditional data processing frameworks. Whether you are currently working on a big data project or interested in learning more about topics like machine learning, streaming data processing, and graph data analytics, this book is for you. You can learn about Apache Spark and develop Spark programs for various use cases in big data analytics using the code examples provided. This book covers all the libraries in Spark ecosystem: Spark Core, Spark SQL, Spark Streaming, Spark ML, and Spark GraphX.

Scaling Machine Learning With Spark

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Author : Adi Polak
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-03-07

Scaling Machine Learning With Spark written by Adi Polak and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-07 with Computers categories.

Learn how to build end-to-end scalable machine learning solutions with Apache Spark. With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals--allowing data and ML practitioners to collaborate and understand each other better. Scaling Machine Learning with Spark examines several technologies for building end-to-end distributed ML workflows based on the Apache Spark ecosystem with Spark MLlib, MLflow, TensorFlow, and PyTorch. If you're a data scientist who works with machine learning, this book shows you when and why to use each technology. You will: Explore machine learning, including distributed computing concepts and terminology Manage the ML lifecycle with MLflow Ingest data and perform basic preprocessing with Spark Explore feature engineering, and use Spark to extract features Train a model with MLlib and build a pipeline to reproduce it Build a data system to combine the power of Spark with deep learning Get a step-by-step example of working with distributed TensorFlow Use PyTorch to scale machine learning and its internal architecture

Muriel Spark

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Author : David Herman
language : en
Publisher: JHU Press
Release Date : 2010-06

Muriel Spark written by David Herman and has been published by JHU Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06 with Literary Criticism categories.

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

The Black Madonna By Muriel Spark Analysis And Comment

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Author : Lukas Lischeid
language : en
Publisher: GRIN Verlag
Release Date : 2011-01-11

The Black Madonna By Muriel Spark Analysis And Comment written by Lukas Lischeid and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-11 with Foreign Language Study categories.

Presentation / Essay (Pre-University) from the year 2010 in the subject Didactics for the subject English - Literature, Works, grade: "-", Geschwister-Scholl-Gymnasium Lüdenscheid (Lüdenscheid), language: English, abstract: The short story “The Black Madonna“, written by Muriel Spark, gives a vivid portrait of the dormant and hidden racism of British inhabitants in the 1950s. It can also be understood as a criticism on people who pretend to be religious but do not behave like that.

Building High Integrity Applications With Spark

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Author : John W. McCormick
language : en
Publisher: Cambridge University Press
Release Date : 2015-08-31

Building High Integrity Applications With Spark written by John W. McCormick and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-31 with Computers categories.

Software is pervasive in our lives. We are accustomed to dealing with the failures of much of that software - restarting an application is a very familiar solution. Such solutions are unacceptable when the software controls our cars, airplanes and medical devices or manages our private information. These applications must run without error. SPARK provides a means, based on mathematical proof, to guarantee that a program has no errors. SPARK is a formally defined programming language and a set of verification tools specifically designed to support the development of software used in high integrity applications. Using SPARK, developers can formally verify properties of their code such as information flow, freedom from runtime errors, functional correctness, security properties and safety properties. Written by two SPARK experts, this is the first introduction to the just-released 2014 version. It will help students and developers alike master the basic concepts for building systems with SPARK.

Apache Spark Quick Start Guide

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Author : Shrey Mehrotra
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-31

Apache Spark Quick Start Guide written by Shrey Mehrotra and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-31 with Computers categories.

A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark. Key FeaturesLearn about the core concepts and the latest developments in Apache SparkMaster writing efficient big data applications with Spark’s built-in modules for SQL, Streaming, Machine Learning and Graph analysisGet introduced to a variety of optimizations based on the actual experienceBook Description Apache Spark is a flexible framework that allows processing of batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to get started with Apache Spark 2.0 and write big data applications for a variety of use cases. It will also introduce you to Apache Spark – one of the most popular Big Data processing frameworks. Although this book is intended to help you get started with Apache Spark, but it also focuses on explaining the core concepts. This practical guide provides a quick start to the Spark 2.0 architecture and its components. It teaches you how to set up Spark on your local machine. As we move ahead, you will be introduced to resilient distributed datasets (RDDs) and DataFrame APIs, and their corresponding transformations and actions. Then, we move on to the life cycle of a Spark application and learn about the techniques used to debug slow-running applications. You will also go through Spark’s built-in modules for SQL, streaming, machine learning, and graph analysis. Finally, the book will lay out the best practices and optimization techniques that are key for writing efficient Spark applications. By the end of this book, you will have a sound fundamental understanding of the Apache Spark framework and you will be able to write and optimize Spark applications. What you will learnLearn core concepts such as RDDs, DataFrames, transformations, and moreSet up a Spark development environmentChoose the right APIs for your applicationsUnderstand Spark’s architecture and the execution flow of a Spark applicationExplore built-in modules for SQL, streaming, ML, and graph analysisOptimize your Spark job for better performanceWho this book is for If you are a big data enthusiast and love processing huge amount of data, this book is for you. If you are data engineer and looking for the best optimization techniques for your Spark applications, then you will find this book helpful. This book also helps data scientists who want to implement their machine learning algorithms in Spark. You need to have a basic understanding of any one of the programming languages such as Scala, Python or Java.

Big Data Analytics With Spark

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Author : Mohammed Guller
language : en
Publisher: Apress
Release Date : 2015-12-29

Big Data Analytics With Spark written by Mohammed Guller and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-29 with Computers categories.

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert. Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics. This book provides an introduction to Spark and related big-data technologies. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy professionals who prefer learning a new technology from a consolidated source instead of spending countless hours on the Internet trying to pick bits and pieces from different sources. The book also provides a chapter on Scala, the hottest functional programming language, and the program that underlies Spark. You’ll learn the basics of functional programming in Scala, so that you can write Spark applications in it. What's more, Big Data Analytics with Spark provides an introduction to other big data technologies thatare commonly used along with Spark, like Hive, Avro, Kafka and so on. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to know is programming in any language. There is a critical shortage of people with big data expertise, so companies are willing to pay top dollar for people with skills in areas like Spark and Scala. So reading this book and absorbing its principles will provide a boost—possibly a big boost—to your career.