bookbugs.net

PDF download and read online

Apache Spark For Java Developers

Apache Spark for Java Developers PDF
Author: Sumit Kumar
Publisher:
Release: 2017-04-28
ISBN: 9781787126497
Size: 63.25 MB
Format: PDF, Kindle
Category :
Languages : en
Pages : 370
View: 3962

Download

Apache Spark For Java Developers

by Sumit Kumar, Apache Spark For Java Developers Books available in PDF, EPUB, Mobi Format. Download Apache Spark For Java Developers books, 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



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: 61.72 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 350
View: 1076

Download

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: 28.14 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 348
View: 7447

Download

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, This practical guide explains you to program and understand the power of Apache Cassandra 3.x. You will explore the integration and interaction of Cassandra components, and explore features such as the token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail.



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: 24.91 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 354
View: 3654

Download

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.



Learning Apache Spark 2

Learning Apache Spark 2 PDF
Author: Muhammad Asif Abbasi
Publisher: Packt Publishing Ltd
Release: 2017-03-28
ISBN: 1785889583
Size: 30.80 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 356
View: 1914

Download

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.



Cyber Physical Systems And Control

Cyber Physical Systems and Control PDF
Author: Dmitry G. Arseniev
Publisher: Springer Nature
Release: 2019-11-29
ISBN: 3030349837
Size: 58.61 MB
Format: PDF, ePub
Category : Science
Languages : en
Pages : 763
View: 7229

Download

Cyber Physical Systems And Control

by Dmitry G. Arseniev, Cyber Physical Systems And Control Books available in PDF, EPUB, Mobi Format. Download Cyber Physical Systems And Control books, This book presents the proceedings of the International Conference on Cyber-Physical Systems and Control (CPS&C'2019), held in Peter the Great St. Petersburg Polytechnic University, which is celebrating its 120th anniversary in 2019. The CPS&C'2019 was dedicated to the 35th anniversary of the partnership between Peter the Great St. Petersburg Polytechnic University and Leibniz University of Hannover. Cyber-physical systems (CPSs) are a new generation of control systems and techniques that help promote prospective interdisciplinary research. A wide range of theories and methodologies are currently being investigated and developed in this area to tackle various complex and challenging problems. Accordingly, CPSs represent a scientific and engineering discipline that is set to make an impact on future systems of industrial and social scale that are characterized by the deep integration of real-time processing, sensing, and actuation into logical and physical heterogeneous domains. The CPS&C'2019 brought together researchers and practitioners from all over the world and to discuss cross-cutting fundamental scientific and engineering principles that underline the integration of cyber and physical elements across all application fields. The participants represented research institutions and universities from Austria, Belgium, Bulgaria, China, Finland, Germany, the Netherlands, Russia, Syria, Ukraine, the USA, and Vietnam. These proceedings include 75 papers arranged into five sections, namely keynote papers, fundamentals, applications, technologies, and education and social aspects.



Programmieren Mit Scala

Programmieren mit Scala PDF
Author: Dean Wampler
Publisher: O'Reilly Germany
Release: 2010-10-31
ISBN: 3897216485
Size: 11.45 MB
Format: PDF, Docs
Category : Computers
Languages : de
Pages : 480
View: 1751

Download

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.



Machine Learning End To End Guide For Java Developers

Machine Learning  End to End guide for Java developers PDF
Author: Richard M. Reese
Publisher: Packt Publishing Ltd
Release: 2017-10-05
ISBN: 178862940X
Size: 42.58 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 1159
View: 4941

Download

Machine Learning End To End Guide For Java Developers

by Richard M. Reese, Machine Learning End To End Guide For Java Developers Books available in PDF, EPUB, Mobi Format. Download Machine Learning End To End Guide For Java Developers books, Develop, Implement and Tuneup your Machine Learning applications using the power of Java programming About This Book Detailed coverage on key machine learning topics with an emphasis on both theoretical and practical aspects Address predictive modeling problems using the most popular machine learning Java libraries A comprehensive course covering a wide spectrum of topics such as machine learning and natural language through practical use-cases Who This Book Is For This course is the right resource for anyone with some knowledge of Java programming who wants to get started with Data Science and Machine learning as quickly as possible. If you want to gain meaningful insights from big data and develop intelligent applications using Java, this course is also a must-have. What You Will Learn Understand key data analysis techniques centered around machine learning Implement Java APIs and various techniques such as classification, clustering, anomaly detection, and more Master key Java machine learning libraries, their functionality, and various kinds of problems that can be addressed using each of them Apply machine learning to real-world data for fraud detection, recommendation engines, text classification, and human activity recognition Experiment with semi-supervised learning and stream-based data mining, building high-performing and real-time predictive models Develop intelligent systems centered around various domains such as security, Internet of Things, social networking, and more In Detail Machine Learning is one of the core area of Artificial Intelligence where computers are trained to self-learn, grow, change, and develop on their own without being explicitly programmed. In this course, we cover how Java is employed to build powerful machine learning models to address the problems being faced in the world of Data Science. The course demonstrates complex data extraction and statistical analysis techniques supported by Java, applying various machine learning methods, exploring machine learning sub-domains, and exploring real-world use cases such as recommendation systems, fraud detection, natural language processing, and more, using Java programming. The course begins with an introduction to data science and basic data science tasks such as data collection, data cleaning, data analysis, and data visualization. The next section has a detailed overview of statistical techniques, covering machine learning, neural networks, and deep learning. The next couple of sections cover applying machine learning methods using Java to a variety of chores including classifying, predicting, forecasting, market basket analysis, clustering stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, and deep learning. The last section highlights real-world test cases such as performing activity recognition, developing image recognition, text classification, and anomaly detection. The course includes premium content from three of our most popular books: Java for Data Science Machine Learning in Java Mastering Java Machine Learning On completion of this course, you will understand various machine learning techniques, different machine learning java algorithms you can use to gain data insights, building data models to analyze larger complex data sets, and incubating applications using Java and machine learning algorithms in the field of artificial intelligence. Style and approach This comprehensive course proceeds from being a tutorial to a practical guide, providing an introduction to machine learning and different machine learning techniques, exploring machine learning with Java libraries, and demonstrating real-world machine learning use cases using the Java platform.



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: 44.14 MB
Format: PDF, Docs
Category : Business & Economics
Languages : en
Pages : 175
View: 6542

Download

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.



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: 45.52 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : de
Pages : 360
View: 3350

Download

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.