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Apache Spark 2 X For Java Developers

Apache Spark 2 x for Java Developers PDF
Author: Sourav Gulati
Publisher: Packt Publishing Ltd
Release: 2017-07-26
ISBN: 178712942X
Size: 74.21 MB
Format: PDF, Docs
Category : Computers
Languages : un
Pages : 350
View: 3758

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Apache Spark 2 X For Java Developers

by Sourav Gulati, Apache Spark 2 X For Java Developers Books available in PDF, EPUB, Mobi Format. Download Apache Spark 2 X For Java Developers books, Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java About 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 mainstream data processing by adding querying capability, Machine Learning, and graph processing using Spark Who This Book Is For If 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 the Spark core Library. Perform analytics on data from various data sources such as Kafka, and Flume using Spark Streaming Library Learn SQL schema creation and the analysis of structured data using various SQL functions including Windowing functions in the Spark SQL Library Explore 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 Spark In Detail Apache 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 an introduction to the Apache Spark 2.x ecosystem, followed by explaining how to install and configure Spark, 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, all using various Java packages. By the end of the book, you will have a solid foundation in implementing components in the Spark framework in Java to build fast, real-time applications. Style and approach This practical guide teaches readers the fundamentals of the Apache Spark framework and how to implement components using the Java language. It is a unique blend of theory and practical examples, and is written in a way that will gradually build your knowledge of Apache Spark.



Mastering Apache Cassandra 3 X

Mastering Apache Cassandra 3 x PDF
Author: Aaron Ploetz
Publisher: Packt Publishing Ltd
Release: 2018-10-31
ISBN: 1789132800
Size: 18.93 MB
Format: PDF
Category : Computers
Languages : en
Pages : 348
View: 622

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Mastering Apache Cassandra 3 X

by Aaron Ploetz, Mastering Apache Cassandra 3 X Books available in PDF, EPUB, Mobi Format. Download Mastering Apache Cassandra 3 X books, Build, manage, and configure high-performing, reliable NoSQL database for your applications with Cassandra Key Features Write programs more efficiently using Cassandra's features with the help of examples Configure Cassandra and fine-tune its parameters depending on your needs Integrate Cassandra database with Apache Spark and build strong data analytics pipeline Book Description With ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features. Once you’ve covered a brief recap of the basics, you’ll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You’ll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You’ll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark. By the end of this book, you’ll be able to analyse big data, and build and manage high-performance databases for your application. What you will learn Write programs more efficiently using Cassandra's features more efficiently Exploit the given infrastructure, improve performance, and tweak the Java Virtual Machine (JVM) Use CQL3 in your application in order to simplify working with Cassandra Configure Cassandra and fine-tune its parameters depending on your needs Set up a cluster and learn how to scale it Monitor a Cassandra cluster in different ways Use Apache Spark and other big data processing tools Who this book is for Mastering Apache Cassandra 3.x is for you if you are a big data administrator, database administrator, architect, or developer who wants to build a high-performing, scalable, and fault-tolerant database. Prior knowledge of core concepts of databases is required.



Learning Apache Spark 2

Learning Apache Spark 2 PDF
Author: Muhammad Asif Abbasi
Publisher: Packt Publishing Ltd
Release: 2017-03-28
ISBN: 1785889583
Size: 30.19 MB
Format: PDF, Kindle
Category : Computers
Languages : un
Pages : 356
View: 3362

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Learning Apache Spark 2

by Muhammad Asif Abbasi, Learning Apache Spark 2 Books available in PDF, EPUB, Mobi Format. Download Learning Apache Spark 2 books, Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analytics About This Book Exclusive guide that covers how to get up and running with fast data processing using Apache Spark Explore and exploit various possibilities with Apache Spark using real-world use cases in this book Want to perform efficient data processing at real time? This book will be your one-stop solution. Who This Book Is For This guide appeals to big data engineers, analysts, architects, software engineers, even technical managers who need to perform efficient data processing on Hadoop at real time. Basic familiarity with Java or Scala will be helpful. The assumption is that readers will be from a mixed background, but would be typically people with background in engineering/data science with no prior Spark experience and want to understand how Spark can help them on their analytics journey. What You Will Learn Get an overview of big data analytics and its importance for organizations and data professionals Delve into Spark to see how it is different from existing processing platforms Understand the intricacies of various file formats, and how to process them with Apache Spark. Realize how to deploy Spark with YARN, MESOS or a Stand-alone cluster manager. Learn the concepts of Spark SQL, SchemaRDD, Caching and working with Hive and Parquet file formats Understand the architecture of Spark MLLib while discussing some of the off-the-shelf algorithms that come with Spark. Introduce yourself to the deployment and usage of SparkR. Walk through the importance of Graph computation and the graph processing systems available in the market Check the real world example of Spark by building a recommendation engine with Spark using ALS. Use a Telco data set, to predict customer churn using Random Forests. In Detail Spark juggernaut keeps on rolling and getting more and more momentum each day. Spark provides key capabilities in the form of Spark SQL, Spark Streaming, Spark ML and Graph X all accessible via Java, Scala, Python and R. Deploying the key capabilities is crucial whether it is on a Standalone framework or as a part of existing Hadoop installation and configuring with Yarn and Mesos. The next part of the journey after installation is using key components, APIs, Clustering, machine learning APIs, data pipelines, parallel programming. It is important to understand why each framework component is key, how widely it is being used, its stability and pertinent use cases. Once we understand the individual components, we will take a couple of real life advanced analytics examples such as 'Building a Recommendation system', 'Predicting customer churn' and so on. The objective of these real life examples is to give the reader confidence of using Spark for real-world problems. Style and approach With the help of practical examples and real-world use cases, this guide will take you from scratch to building efficient data applications using Apache Spark. You will learn all about this excellent data processing engine in a step-by-step manner, taking one aspect of it at a time. This highly practical guide will include how to work with data pipelines, dataframes, clustering, SparkSQL, parallel programming, and such insightful topics with the help of real-world use cases.



Sieben Wochen Sieben Sprachen Prags

Sieben Wochen  sieben Sprachen  Prags  PDF
Author: Bruce A. Tate
Publisher: O'Reilly Germany
Release: 2011-06-30
ISBN: 3897213230
Size: 47.29 MB
Format: PDF, ePub
Category : Computers
Languages : de
Pages : 360
View: 3559

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Sieben Wochen Sieben Sprachen Prags

by Bruce A. Tate, Sieben Wochen Sieben Sprachen Prags Books available in PDF, EPUB, Mobi Format. Download Sieben Wochen Sieben Sprachen Prags books, Mit diesen sieben Sprachen erkunden Sie die wichtigsten Programmiermodelle unserer Zeit. Lernen Sie die dynamische Typisierung kennen, die Ruby, Python und Perl so flexibel und verlockend macht. Lernen Sie das Prototyp-System verstehen, das das Herzstück von JavaScript bildet. Erfahren Sie, wie das Pattern Matching in Prolog die Entwicklung von Scala und Erlang beeinflusst hat. Entdecken Sie, wie sich die rein funktionale Programmierung in Haskell von der Lisp-Sprachfamilie, inklusive Clojure, unterscheidet. Erkunden Sie die parallelen Techniken, die das Rückgrat der nächsten Generation von Internet-Anwendungen bilden werden. Finden Sie heraus, wie man Erlangs "Lass es abstürzen"-Philosophie zum Aufbau fehlertoleranter Systeme nutzt. Lernen Sie das Aktor-Modell kennen, das das parallele Design bei Io und Scala bestimmt. Entdecken Sie, wie Clojure die Versionierung nutzt, um einige der schwierigsten Probleme der Nebenläufigkeit zu lösen. Hier finden Sie alles in einem Buch. Nutzen Sie die Konzepte einer Sprache, um kreative Lösungen in einer anderen Programmiersprache zu finden – oder entdecken Sie einfach eine Sprache, die Sie bisher nicht kannten. Man kann nie wissen – vielleicht wird sie sogar eines ihrer neuen Lieblingswerkzeuge.



Kubernetes In Action

Kubernetes in Action PDF
Author: Marko Lukša
Publisher: Carl Hanser Verlag GmbH Co KG
Release: 2020-05-11
ISBN: 3446458247
Size: 19.51 MB
Format: PDF, ePub
Category : Computers
Languages : de
Pages : 670
View: 5612

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Kubernetes In Action

by Marko Lukša, Kubernetes In Action Books available in PDF, EPUB, Mobi Format. Download Kubernetes In Action books, Mit Kubernetes große Container-Infrastrukturen ausfallsicher verwalten Nach einer Einführung in die typischen Problemstellungen, mit denen Softwareentwickler und Administratoren konfrontiert sind, und wie diese mit Kubernetes gelöst werden können, lernen Sie in einem ersten Beispielprojekt die praktische Umsetzung. Es wird gezeigt, wie eine einfache in einem Container laufende Web-Applikation über ein Kubernetes-Cluster verwaltet werden kann. Im zweiten Teil des Buches lernen Sie die zu Grunde liegenden Konzepte kennen, deren Verständnis unbedingt notwendig ist, um große Container-Cluster mit Kubernetes zu betreiben. Im letzten Teil wird die Funktionsweise von Kubernetes beschrieben und auf weiterführende Aspekte eingegangen. Hier wird außerdem das erworbene Wissen aus den ersten beiden Teilen zusammengeführt, damit Sie den vollen Nutzen aus der Kubernetes-Plattform ziehen können.



Databricks Pyspark 2 X Certification Practice Questions

DataBricks   PySpark 2 x Certification Practice Questions PDF
Author: Rashmi Shah
Publisher: HadoopExam Learning Resources
Release: 2019-04-07
ISBN:
Size: 12.40 MB
Format: PDF, ePub
Category : Business & Economics
Languages : un
Pages : 175
View: 6638

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Databricks Pyspark 2 X Certification Practice Questions

by Rashmi Shah, Databricks Pyspark 2 X Certification Practice Questions Books available in PDF, EPUB, Mobi Format. Download Databricks Pyspark 2 X Certification Practice Questions books, This book contains the questions answers and some FAQ about the Databricks Spark Certification for version 2.x, which is the latest release from Apache Spark. In this book we will be having in total 75 practice questions. Almost all required question would have in detail explanation to the questions and answers, wherever required. Don’t consider this book as a guide, it is more of question and answer practice book. This book also give some references as well like how to prepare further to ensure that you clear the certification exam. This book will particularly focus on the Python version of the certification preparation material. Please note these are practice questions and not dumps, hence just memorizing the question and answers will not help in the real exam. You need to understand the concepts in detail as well as you should be able to solve the programming questions at the end in real worlds work you should be able to write code using PySpark whether you are Data Engineer, Data Analytics Engineer, Data Scientists or Programmer. Hence, take the opportunity to learn each question and also go through the explanation of the questions.



Programmieren Mit Scala

Programmieren mit Scala PDF
Author: Dean Wampler
Publisher: O'Reilly Germany
Release: 2010-10-31
ISBN: 3897216485
Size: 23.89 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : de
Pages : 480
View: 5249

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Programmieren Mit Scala

by Dean Wampler, Programmieren Mit Scala Books available in PDF, EPUB, Mobi Format. Download Programmieren Mit Scala books, Sie ist elegant, schlank, modern und flexibel: Die Rede ist von Scala, der neuen Programmiersprache für die Java Virtual Machine (JVM). Sie vereint die Vorzüge funktionaler und objektorientierter Programmierung, ist typsicherer als Java, lässt sich nahtlos in die Java-Welt integrieren – und eine in Scala entwickelte Anwendung benötigt oft nur einen Bruchteil der Codezeilen ihres Java-Pendants. Kein Wunder, dass immer mehr Firmen, deren große, geschäftskritische Anwendungen auf Java basieren, auf Scala umsteigen, um ihre Produktivität und die Skalierbarkeit ihrer Software zu erhöhen. Das wollen Sie auch? Dann lassen Sie sich von den Scala-Profis Dean Wampler und Alex Payne zeigen, wie es geht. Ihre Werkzeugkiste: Schon bevor Sie loslegen, sind Sie weiter, als Sie denken: Sie können Ihre Java-Programme weiter verwenden, Java-Bibliotheken nutzen, Java von Scala aus aufrufen und Scala von Java aus. Auch Ihre bevorzugten Entwicklungswerkzeuge wie NetBeans, IntelliJ IDEA oder Eclipse stehen Ihnen weiter zur Verfügung, dazu Kommandozeilen-Tools, Plugins für Editoren, Werkzeuge von Drittanbietern – und natürlich Ihre Programmiererfahrung. In Programmieren mit Scala erfahren Sie, wie Sie sich all das zunutze machen. Das Hybridmodell: Die Paradigmen "funktional" und "objektorientiert" sind keine Gegensätze, sondern ergänzen sich unter dem Scala-Dach zu einem sehr produktiven Ganzen. Nutzen Sie die Vorteile funktionaler Programmierung, wann immer sich das anbietet – und seien Sie so frei, auf die guten alten Seiteneffekte zu bauen, wenn Sie das für nötig halten. Futter für die Profis: Skalierbare Nebenläufigkeit mit Aktoren, Aufzucht und Pflege von XML mit Scala, Domainspezifische Sprachen, Tipps zum richtigen Anwendungsdesign – das sind nur ein paar der fortgeschrittenen Themen, in die Sie mit den beiden Autoren eintauchen. Danach sind Sie auch Profi im Programmieren mit Scala.



Apache Spark 2 Data Processing And Real Time Analytics

Apache Spark 2  Data Processing and Real Time Analytics PDF
Author: Romeo Kienzler
Publisher: Packt Publishing Ltd
Release: 2018-12-21
ISBN: 1789959918
Size: 20.85 MB
Format: PDF, Kindle
Category : Computers
Languages : un
Pages : 616
View: 5453

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Apache Spark 2 Data Processing And Real Time Analytics

by Romeo Kienzler, Apache Spark 2 Data Processing And Real Time Analytics Books available in PDF, EPUB, Mobi Format. Download Apache Spark 2 Data Processing And Real Time Analytics books, Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework Key Features Master the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways to optimize your work by using many features of Spark 2.x and Scala Book Description Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more. With this Learning Path, you can take your knowledge of Apache Spark to the next level by learning how to expand Spark's functionality and building your own data flow and machine learning programs on this platform. You will work with the different modules in Apache Spark, such as interactive querying with Spark SQL, using DataFrames and datasets, implementing streaming analytics with Spark Streaming, and applying machine learning and deep learning techniques on Spark using MLlib and various external tools. By the end of this elaborately designed Learning Path, you will have all the knowledge you need to master Apache Spark, and build your own big data processing and analytics pipeline quickly and without any hassle. This Learning Path includes content from the following Packt products: Mastering Apache Spark 2.x by Romeo Kienzler Scala and Spark for Big Data Analytics by Md. Rezaul Karim, Sridhar Alla Apache Spark 2.x Machine Learning Cookbook by Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen MeiCookbook What you will learn Get to grips with all the features of Apache Spark 2.x Perform highly optimized real-time big data processing Use ML and DL techniques with Spark MLlib and third-party tools Analyze structured and unstructured data using SparkSQL and GraphX Understand tuning, debugging, and monitoring of big data applications Build scalable and fault-tolerant streaming applications Develop scalable recommendation engines Who this book is for If you are an intermediate-level Spark developer looking to master the advanced capabilities and use-cases of Apache Spark 2.x, this Learning Path is ideal for you. Big data professionals who want to learn how to integrate and use the features of Apache Spark and build a strong big data pipeline will also find this Learning Path useful. To grasp the concepts explained in this Learning Path, you must know the fundamentals of Apache Spark and Scala.



Der Pragmatische Programmierer

Der Pragmatische Programmierer PDF
Author: David Thomas
Publisher: Carl Hanser Verlag GmbH Co KG
Release: 2021-04-06
ISBN: 3446466339
Size: 74.87 MB
Format: PDF, Docs
Category : Computers
Languages : de
Pages : 304
View: 3439

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Der Pragmatische Programmierer

by David Thomas, Der Pragmatische Programmierer Books available in PDF, EPUB, Mobi Format. Download Der Pragmatische Programmierer books, FÜR EINSTEIGER, FORTGESCHRITTENE PROGRAMMIERER UND ALTE HASEN // Erfahren Sie im Buch, wie Sie ... ... den Verfall von Software bekämpfen ... Redundanz vermeiden ... flexiblen, dynamischen und anpassungsfähigen Quelltext schreiben ... Ihr Handwerkszeug optimal nutzen ... vermeiden, mit dem Zufall zu programmieren ... die richtigen Anforderungen finden ... sich vor Sicherheitslücken schützen ... Probleme beim nebenläufigen Code lösen ... Teams aus Pragmatischen Programmierern bilden ... effektiv testen ... das Pragmatic Starter Kit implementieren ... Ihre Anwender begeistern Ihr exklusiver Vorteil: E-Book inside beim Kauf des gedruckten Buches Der Pragmatische Programmierer ist eines dieser seltenen Fachbücher, die Sie im Lauf der Jahre immer wieder lesen werden. Egal, ob Sie Programmiereinsteiger oder erfahrener Praktiker sind, stets können Sie neue Einsichten gewinnen. David Thomas und Andrew Hunt schrieben 1999 die erste Ausgabe dieses einflussreichen Buches, um ihren Kunden zu helfen, bessere Software zu entwickeln und die Freude am Programmieren wiederzuentdecken. Ihre pragmatischen Profitipps helfen bis heute einer ganzen Generation von Programmierern, den Kosmos der Software-Entwicklung zu erkunden, unabhängig von einer bestimmten Sprache oder Methodik oder einem bestimmten Framework. Ihre »Pragmatische Philosophie« hat den Weg bereitet für Hunderte von Büchern, Screencasts und Hörbüchern sowie Tausende von Karrieren und Erfolgsgeschichten. Zwanzig Jahre später untersuchen die Autoren nun erneut, was einen modernen Programmierer ausmacht. Die Themen reichen von persönlicher Verantwortung über berufliche Entwicklung bis hin zu Architekturtechniken, die Ihren Code flexibel, leicht anpassbar und wiederverwendbar halten. In kurzen Abschnitten, die auch einzeln gelesen werden können, erläutern die Autoren nicht nur die Best Practices, sondern auch Fallstricke bei der Software-Entwicklung. Anschauliche Beispiele und interessante Analogien machen dieses Buch zu einem Lesevergnügen. Egal ob Einsteiger, erfahrener Programmierer oder Manager für Softwareprojekte: Wer die Profitipps der Autoren bei der täglichen Arbeit anwendet, wird seine Produktivität, Genauigkeit und Zufriedenheit rasch steigern und damit als Pragmatischer Programmierer auch langfristig erfolgreich sein.



Mastering Apache Spark 2 X

Mastering Apache Spark 2 x PDF
Author: Romeo Kienzler
Publisher: Packt Publishing Ltd
Release: 2017-07-26
ISBN: 178528522X
Size: 24.53 MB
Format: PDF, Kindle
Category : Computers
Languages : un
Pages : 354
View: 5854

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Mastering Apache Spark 2 X

by Romeo Kienzler, Mastering Apache Spark 2 X Books available in PDF, EPUB, Mobi Format. Download Mastering Apache Spark 2 X books, Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. Extend your data processing capabilities to process huge chunk of data in minimum time using advanced concepts in Spark. Master the art of real-time processing with the help of Apache Spark 2.x Who This Book Is For If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected. What You Will Learn Examine Advanced Machine Learning and DeepLearning with MLlib, SparkML, SystemML, H2O and DeepLearning4J Study highly optimised unified batch and real-time data processing using SparkSQL and Structured Streaming Evaluate large-scale Graph Processing and Analysis using GraphX and GraphFrames Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker, Kubernetes and the IBM Cloud Understand internal details of cost based optimizers used in Catalyst, SystemML and GraphFrames Learn how specific parameter settings affect overall performance of an Apache Spark cluster Leverage Scala, R and python for your data science projects In Detail Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and SQL. This book aims to take your knowledge of Spark to the next level by teaching you how to expand Spark's functionality and implement your data flows and machine/deep learning programs on top of the platform. The book commences with an overview of the Spark ecosystem. It will introduce you to Project Tungsten and Catalyst, two of the major advancements of Apache Spark 2.x. You will understand how memory management and binary processing, cache-aware computation, and code generation are used to speed things up dramatically. The book extends to show how to incorporate H20, SystemML, and Deeplearning4j for machine learning, and Jupyter Notebooks and Kubernetes/Docker for cloud-based Spark. During the course of the book, you will learn about the latest enhancements to Apache Spark 2.x, such as interactive querying of live data and unifying DataFrames and Datasets. You will also learn about the updates on the APIs and how DataFrames and Datasets affect SQL, machine learning, graph processing, and streaming. You will learn to use Spark as a big data operating system, understand how to implement advanced analytics on the new APIs, and explore how easy it is to use Spark in day-to-day tasks. Style and approach This book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.