Description : Working with big data can be complex and challenging, in part because of the multiple analysis frameworks and tools required. Apache Spark is a big data processing framework perfect for analyzing near-real-time streams and discovering historical patterns in batched data sets. But Spark goes much further than other frameworks. By including machine learning and graph processing capabilities, it makes many specialized data processing platforms obsolete. Spark's unified framework and programming model significantly lowers the initial infrastructure investment, and Spark's core abstractions are intuitive for most Scala, Java, and Python developers. Spark in Action teaches readers to use Spark for stream and batch data processing. It starts with an introduction to the Spark architecture and ecosystem followed by a taste of Spark's command line interface. Readers then discover the most fundamental concepts and abstractions of Spark, particularly Resilient Distributed Datasets (RDDs) and the basic data transformations that RDDs provide. The first part of the book covers writing Spark applications using the the core APIs. Readers also learn how to work with structured data using Spark SQL, how to process near-real time data with Spark Streaming, how to apply machine learning algorithms with Spark MLlib, how to apply graph algorithms on graph-shaped data using Spark GraphX, and an introduction to Spark clustering. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Description : This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. The Comprehensive, Up-to-Date Apache Hadoop Administration Handbook and Reference “Sam Alapati has worked with production Hadoop clusters for six years. His unique depth of experience has enabled him to write the go-to resource for all administrators looking to spec, size, expand, and secure production Hadoop clusters of any size.” —Paul Dix, Series Editor In Expert Hadoop® Administration, leading Hadoop administrator Sam R. Alapati brings together authoritative knowledge for creating, configuring, securing, managing, and optimizing production Hadoop clusters in any environment. Drawing on his experience with large-scale Hadoop administration, Alapati integrates action-oriented advice with carefully researched explanations of both problems and solutions. He covers an unmatched range of topics and offers an unparalleled collection of realistic examples. Alapati demystifies complex Hadoop environments, helping you understand exactly what happens behind the scenes when you administer your cluster. You’ll gain unprecedented insight as you walk through building clusters from scratch and configuring high availability, performance, security, encryption, and other key attributes. The high-value administration skills you learn here will be indispensable no matter what Hadoop distribution you use or what Hadoop applications you run. Understand Hadoop’s architecture from an administrator’s standpoint Create simple and fully distributed clusters Run MapReduce and Spark applications in a Hadoop cluster Manage and protect Hadoop data and high availability Work with HDFS commands, file permissions, and storage management Move data, and use YARN to allocate resources and schedule jobs Manage job workflows with Oozie and Hue Secure, monitor, log, and optimize Hadoop Benchmark and troubleshoot Hadoop
Description : Mit etwa 11.000 Einträgen in der deutschen und ca. 17.000 Einträgen in der englischen Spalte umfasst dieses Taschenwörterbuch folgende Bereiche: - Grundlegender technischer Wortschatz - Maschinenbau - Handwerkzeuge - Werkzeugmaschinen - Anlagenbau - Fördertechnik, insbesondere Aufzugstechnik als Anwendungsgebiet - Werkstofftechnik mit Werkstoffprüfung - Elektrotechnik - Elektronik - Steuerungs- und Regelungstechnik - Fachsprachliche Redewendungen - Fachgebietsübergreifende Begriffe
Description : Twelve-year-old Tom Elm, his raccoon friend Roderick, Percival, Abbey, and Barclay Bone, warrior priest Randolf, and forest woman Lorimar join in a quest to find the pieces of the Spark that can save Dreaming--and the Waking World--from a Darkness created by the Nacht.
Description : A structured approach to advocacy for K-12 school librarians focuses their energy on an active path that showcases library programs and resources and expresses the essential role librarians serve in school and student success. • Ideas and templates to help librarians systematically bring library programs into the stakeholder's field of vision • Quizzes to reinforce suggested actions
Description : Gender and the Politics of Possibilities explores the lesser-known side of globalization beyond the effects of national governments and multinational cooperations by taking a look at grassroots movements by women that have and continue to shape globalization today. Manisha Desai highlights the significant role that women play in cross-border trade in Africa, in transborder activism on issues that affect women, and in cultural change and social justice.
Description : A guide to using Windows PowerShell to script Windows administrative tasks and control Windows from the command line.
Description : Unleash the data processing and analytics capability of Apache Spark with the language of choice-JavaAbout This Book* Perform Big Data processing with Spark-without having to learn Scala!* Use the Spark Java API to implement efficient enterprise-grade applications for data processing and analytics* Go beyond the mainstream data processing by adding querying capability, machine learning, and graph processing using SparkWho This Book Is ForIf you are a Java developer interested in learning to use the popular Apache Spark framework, this book is the resource you need to get started. Apache Spark developers who are looking to build enterprise-grade applications in Java will also find this book very useful.What You Will Learn* Process data using different file formats such as XML, JSON, CSV, and plain and delimited text using Spark core Library* Perform analytics on data from various data sources such as Kafka, Flume, and Twitter using Spark Streaming Library* Learn SQL schema creation and analysis of structured data using various SQL functions including Windowing functions of Spark SQL Library* Explore the Spark Mlib APIs while implementing machine learning techniques to solve real-world problems* Get to know Spark GraphX so you understand various Graph-based analytics that can be performed with SparkIn DetailApache Spark is the buzzword in the Big Data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities of the Apache Spark framework in Java, without stepping out of your comfort zone.The book starts with introduction to the Apache Spark ecosystem, followed by explaining the Spark installation and configuration, and refreshes the Java concepts that will be useful to you when consuming Apache Spark's APIs. You will explore RDD and its associated common Action and Transformation Java APIs, set up a production-like clustered environment, and work with Spark SQL. Moving on, you will perform near real-time processing with Spark streaming, machine learning analytics with Spark MLlib, and graph processing with GraphX using the various Java packages.By the end of the book, you will have a solid foundation in implementing the components in the Spark framework in Java to build fast, real-time applications
Description : Written by an experienced author and teacher of students with a wide range of abilities, Advanced Biology will spark interest and motivate A-Level students.