279,99 zł

Big Data Analytics With R And Hadoop

Książki Obcojęzyczne>Nieprzypisane

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Sklep: Gigant.pl

211,13 zł

Modern Big Data Processing with Hadoop Packt Publishing Limited

Książki / Literatura obcojęzyczna

This book presents unique techniques to conquer different Big Data processing and analytics challenges using Hadoop. Practical examples are provided to boost your understanding of Big Data concepts and their implementation. By the end of the book, you will have all the knowledge and skills you need to become a true Big Data expert.

Sklep: Libristo.pl

216,66 zł

Foundations of Data Intensive Applications - Large Scale Data Analytics under the Hood John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

PEEK "UNDER THE HOOD" OF BIG DATA ANALYTICSThe world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of big data to software development for optimal performance.The authors discuss foundational components of large-scale data systems and walk readers through the major software design decisions that define performance, application type, and usability. You???ll learn how to recognize problems in your applications resulting in performance and distributed operation issues, diagnose them, and effectively eliminate them by relying on the bedrock big data principles explained within.Moving beyond individual frameworks and APIs for data processing, this book unlocks the theoretical ideas that operate under the hood of every big data processing system.Ideal for data scientists, data architects, dev-ops engineers, and developers, Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood shows readers how to:* Identify the foundations of large-scale, distributed data processing systems* Make major software design decisions that optimize performance* Diagnose performance problems and distributed operation issues* Understand state-of-the-art research in big data* Explain and use the major big data frameworks and understand what underpins them* Use big data analytics in the real world to solve practical problems

Sklep: Libristo.pl

25,45 zł

Zwinna analiza danych. Apache Hadoop dla każdego - Russell Jurney

Książki & Multimedia > Książki

Opis - Duże zbiory danych dla każdego! W dobie Big Data klasyczne podejście do analizy danych nie przynosi już pożądanych wyników. Skuteczna analiza gigantycznych zbiorów informacji, wyciąganie interesujących wniosków i prezentowanie ich w przejrzystej formie użytkownikowi wymagają mnóstwa czasu i środków. Zastanawiasz się, jak podejść do tego problemu, by zminimalizować ryzyko niepowodzenia? Na to i wiele innych pytań odpowiada ta fantastyczna książka. Dzięki niej dowiesz się, jak zaprząc platformę Hadoop do własnych celów. Skorzystasz z prostych narzędzi, takich jak język Python , biblioteka D3.js oraz Apache Pig , i zastosujesz zwinne podejście do problemu, by osiągnąć zaskakujące efekty. Ponadto przekonasz się, jak łatwo można publikować dane w MongoDB , stosować wyszukiwarkę ElasticSearch oraz wykorzystać potencjał chmur obliczeniowych . Nauczysz się także wizualizować dane na wykresach, prognozować oraz podejmować właściwe działania. Książka ta jest doskonałą lekturą dla wszystkich osób stojących przed problemem skutecznej pracy z ogromnymi zbiorami danych. Dzięki tej książce: poznasz najlepsze narzędzia do przetwarzania zbiorów danych wykorzystasz możliwości języka Python sprawdzisz możliwości chmur obliczeniowych błyskawicznie wyszukasz dane za pomocą ElasticSearch zwizualizujesz dane z użyciem D3.js Zwinnie rozwiąż problemy z dużymi zbiorami danych! "Przy tak dużej popularności zagadnień Big Data i Data Science, lektura praktycznego instruktażu budowy aplikacji analitycznych jest mocno odświeżająca. Russel Jurney wprowadza nas, małymi porcjami implementacji, w swoją filozofię zwinności w dziedzinie analizy i aplikacyjnego wykorzystywania danych." Mat Kelcey , matpalm.com Nazwa - Zwinna analiza danych. Apache Hadoop dla każdego Oryginalny tytuł - Agile Data Science: Building Data Analytics Applications with Hadoop Autor - Russell Jurney Oprawa - Miękka Wydawca - Helion Kod ISBN - 9788324699445 Kod EAN - 9788324699445 Wydanie - - Rok wydania - 2015 Język - PL Tłumacz - Przemysław Szeremiota Seria wydawnicza - - Format - 140x208 Ilość stron - 184 Podatek VAT - 5% Premiera - 2015-01-16

Sklep: InBook.pl

120,69 zł

Hadoop For Dummies John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

Let Hadoop For Dummies help harness the power of your data and rein in the information overload§Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters.§Explains the origins of Hadoop, its economic benefits, and its functionality and practical applications§Helps you find your way around the Hadoop ecosystem, program MapReduce, utilize design patterns, and get your Hadoop cluster up and running quickly and easily§Details how to use Hadoop applications for data mining, web analytics and personalization, large-scale text processing, data science, and problem-solving§Shows you how to improve the value of your Hadoop cluster, maximize your investment in Hadoop, and avoid common pitfalls when building your Hadoop cluster§From programmers challenged with building and maintaining affordable, scaleable data systems to administrators who must deal with huge volumes of information effectively and efficiently, this how-to has something to help you with Hadoop.

Sklep: Libristo.pl

159,08 zł

Beginning Big Data with Power BI and Excel 2013 APress

Książki / Literatura obcojęzyczna

Big data is all the rage. So you better buckle down and learn the ins and outs of Hadoop, Hive, Pig, Solr, Spark, and all the other Apache tools people say are absolutely required to take advantage of the revolution. Right? Maybe not. As Neil Dunlop, chair of the Computer Science Department at Berkeley City College in California demonstrates in Big Data for the Little Guy , it turns out that a data analyst or tech-savvy IT or business manager armed with the latest versions of Excel and Power BI can import data into them and perform valuable, professional analyses of a company's Big Data assets.§§While Big Data for the Little Guy: Big Data Processing and Analysis Using Power BI in Excel 2013 covers prominent tools such as Hadoop and the NoSQL database Cassandra, it recognizes that most small and medium-sized businesses don't have the Big Data processing needs of a Netflix, Target, or Facebook. Instead, it shows how to import data and use the self-service analytics available in Excel with Power BI. As you'll see through the book's numerous case examples, these tools - which you already know how to use - can perform many of the same functions as the higher-end Apache tools many people believe are required to carry out in Big Data projects.§§To set the business context, veteran programmer/developer, teacher, and Excel/Power BI expert Neil Dunlop starts by reviewing the importance of analyzing data before making important business decisions and then determining when higher-end tools such as Hadoop and Cassandra are necessary. He then shows in great depth how small and medium-sized businesses can meet most of their data analysis needs using Excel with Power BI.§Through instruction, insight, advice, and case studies, Big Data for the Little Guy will show you how to:§§Import and mash up data from web pages, SQL and NoSQL databases, the Azure Marketplace and other sources.§Tap into the analytical power of PivotTables and PivotCharts and develop relational data models to track trends and make predictions based on a wide range of data.§Understand basic statistics and use Excel with PowerBI to do sophisticated statistical analysis - including identifying trends and correlations.§Use SQL within Excel to do sophisticated queries across multiple tables, including NoSQL databases.§Create complex formulas to solve real-world business problems using Data Analysis Expressions (DAX). §Along the way, you'll learn how to present the data using visual tools such as slicers, dashboards that summarize real-time results in relation to goals, data-driven maps, and OLAP cubes for multidimensional analysis. Through the book's emphasis on real-world cases and examples, you'll understand how to meet most of your big data analysis and decision needs using Excel and Power BI. That will save you time, money, and effort while providing the answers you need to critical business questions - faster and more accurately than ever.§§

Sklep: Libristo.pl

216,66 zł

Scalable Big Data Architecture APress

Książki / Literatura obcojęzyczna

Most people think that Big Data projects start directly with the deployment of large distributed clusters of heavy map reduce jobs, whereas reality shows that there isn't any unique/perfect solution to solving problems when dealing with large volumes of data.§§By knowing the different Big Data integration patterns, you will understand why most of the time you will have to deploy a heterogeneous architecture that fulfills different needs, and furthermore what limits each pattern that may lead you to choose effective alternates.§§We will go through real concrete industry use cases that leverage these patterns such as REST API which requests large amount of data stored in No-SQL like Couchbase and Elasticsearch. We will see how massive data processing can be done in such No-SQL databases without the need of diving deep into Big Data.§§But when the volume is too high and the data structures gets too complex, the kind of pattern being employed reaches its limits and that's when we can start thinking of delegating complex data processing jobs to, for example, a Hadoop based Big Data architecture.§§The difficulty is to then choose a relevant combination of big data technologies available within the Hadoop ecosystem. We will focus on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern will be illustrated with practical examples, which uses the different apache projects such as Avro, Spark, Kafka, and so on.§§Traditional Big Data infrastructures are built for digesting and rendering data synthesis and analytics from large amount of data. This book will also help you to understand why you should consider using machine learning algorithms early on in the project, before being overwhelmed by constraints implied by dealing with high throughput of Big data.§§

Sklep: Libristo.pl

204,10 zł

Big Data Fundamentals Pearson Education

Książki / Literatura obcojęzyczna

Big Data Science Fundamentals offers a comprehensive, easy-to-understand, and up-to-date understanding of Big Data for all business professionals and technologists. Leading enterprise technology author Thomas Erl introduces key Big Data concepts, theory, terminology, technologies, key analysis/analytics techniques, and more - all logically organized, presented in plain English, and supported by easy-to-understand diagrams and case study examples. Erl provides a uniquely valuable methodology for Big Data analysis, and introduces the underlying analysis techniques and enabling technological constructs that constitute a Big Data solution environment. He presents vendor-neutral guidance on implementing Big Data for competitive advantage; and for successfully integrating Big Data with existing enterprise systems.Coverage includes: *Big Data's fundamental concepts and key business/technology drivers*"5 V" characteristics of data in Big Data environments: volume, velocity, variety, veracity, and value*Types of Big Data: structured, unstructured, semi-structured, and meta-data*Big Data's relationships with OLTP, OLAP, ETL, data warehouses, and data marts*Fundamental types of analysis, analytics, and machine learning*Requirements and tools for visualizing big data*Adoption and planning: business cases, privacy, security, provenance, performance, governance, and more*Big Data technologies, including clusters, NoSQL, distributed and parallel data processing, Hadoop, cloud computing, and storage*Big Data analysis and analytics across the full lifecycle*And much more

Sklep: Libristo.pl

324,69 zł

Spring Cloud Data Flow APress

Książki / Literatura obcojęzyczna

Pro Spring XD is your authoritative guide to using the Spring XD platform. This integral Spring set of tools lets you build applications or application aspects that take advantage of big data. Spring XD is essentially a unified, distributed, and extensible system for data ingestion, real time analytics, batch processing, and data export. It also lets you work with third party big data processing engines like the very popular Hadoop and more.§§In this book, you'll develop a foundation for creating applications that use real time data streaming starting with your first Spring XD application. Then, you'll examine the Spring XD internals such as XD components such as jobs, taps and even more on streams. Additionally, you'll understand Spring XD architecture, messaging and DSLs.§§Furthermore, while building up your case study application, you'll learn and examine Spring XD's administration and monitoring tools, development and deployment tools, the Spring XD Rest APIs. Finally, you'll learn how to extend and use the available Spring XD modules and extensions and integrate with the Spring Integration framework for a most robust Spring XD application.§

Sklep: Libristo.pl

411,72 zł

Data Warehouse Systems Springer, Berlin

Książki / Literatura obcojęzyczna

With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes "Fundamental Concepts" including conceptual and logical data warehouse design, as well as querying using MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services. Part II details "Implementation and Deployment," including physical design, ETL and data warehouse design methodologies. Part III covers "Advanced Topics" and it is almost completely new in this second edition. This part includes chapters with an in-depth coverage of temporal, spatial, and mobility data warehousing. Graph data warehouses are also covered in detail using Neo4j. The last chapter extensively studies big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL and NewSQL database systems, and data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. KPIs and Dashboards are now also developed using DAX and Power BI, and the chapter on ETL has been expanded with the implementation of ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style."I can only invite you to dive into the contents of the book, feeling certain that once you have completed its reading (or maybe, targeted parts of it), you will join me in expressing our gratitude to Alejandro and Esteban, for providing such a comprehensive textbook for the field of data warehousing in the first place, and for keeping it up to date with the recent developments, in this current second edition."From the foreword by Panos Vassiliadis, University of Ioannina, Greece.

Sklep: Libristo.pl

516,14 zł

Data Warehouse Systems Springer-Verlag Berlin and Heidelberg GmbH & Co....

Książki / Literatura obcojęzyczna

With this textbook, Vaisman and Zimányi deliver excellent coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. To this end, their work is structured into three parts. Part I describes "Fundamental Concepts" including multi-dimensional models; conceptual and logical data warehouse design; and MDX, DAX and SQL/OLAP. This part also covers data analytics using Power BI and Analysis Services for producing indicators and dashboards. Subsequently, Part II details "Implementation and Deployment," which includes physical data warehouse design; data extraction, transformation, and loading (ETL); and data warehouse design methodologies. Lastly, Part III covers "Advanced Topics". This part is almost completely new in this second edition and includes chapters with an in-depth coverage of temporal data warehouses as well as graph data warehouses using Neo4j. The chapter on spatial data warehouses includes a detailed coverage of mobility analysis and mobility data warehousing using MobilityDB moving object database. The last chapter covering recent developments in data warehousing includes an extensive study of big data management and the usage of Hadoop, Spark, distributed, in-memory, columnar, NoSQL, and NewSQL database systems, as well as data lakes in the context of analytical data processing. As a key characteristic of the book, most of the topics are presented and illustrated using application tools. Specifically, a case study based on the well-known Northwind database illustrates how the concepts presented in the book can be implemented using Microsoft Analysis Services and Power BI. All chapters have been revised and updated to the latest versions of the software tools used. For querying, KPIs, and reporting, DAX and Power BI have been added. All examples presented in SQL and MDX in the first edition, are now also developed in DAX. Dashboards are implemented in Power BI and Reporting Services. The chapter on ETL has been expanded for implementing ETL processes in PostgreSQL. Review questions and exercises complement each chapter to support comprehensive student learning. Supplemental material to assist instructors using this book as a course text is available online and includes electronic versions of the figures, solutions to all exercises, and a set of slides accompanying each chapter. Overall, students, practitioners and researchers alike will find this book the most comprehensive reference work on data warehouses, with key topics described in a clear and educational style.

Sklep: Libristo.pl

139,88 zł

NoSQL For Dummies John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

Get up to speed on the nuances of NoSQL databases and what they mean for your organization This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you. Featuring specific evaluation criteria for NoSQL databases, along with a look into the pros and cons of the most popular options, NoSQL For Dummies provides the fastest and easiest way to dive into the details of this incredible technology. You'll gain an understanding of how to use NoSQL databases for mission-critical enterprise architectures and projects, and real-world examples reinforce the primary points to create an action-oriented resource for IT pros. If you're planning a big data project or platform, you probably already know you need to select a NoSQL database to complete your architecture. But with options flooding the market and updates and add-ons coming at a rapid pace, determining what you require now, and in the future, can be a tall task. This is where NoSQL For Dummies comes in!Learn the basic tenets of NoSQL databases and why they have come to the forefront as data has outpaced the capabilities of relational databases Discover major players among NoSQL databases, including Cassandra, MongoDB, MarkLogic, Neo4J, and others Get an in-depth look at the benefits and disadvantages of the wide variety of NoSQL database options Explore the needs of your organization as they relate to the capabilities of specific NoSQL databases Big data and Hadoop get all the attention, but when it comes down to it, NoSQL databases are the engines that power many big data analytics initiatives. With NoSQL For Dummies , you'll go beyond relational databases to ramp up your enterprise's data architecture in no time.

Sklep: Libristo.pl

182,69 zł

Beginning Apache Spark 2 APress

Książki / Literatura obcojęzyczna

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 platformUse and manipulate RDDsDeal with structured data using Spark SQLBuild real-time applications using Spark Structured StreamingDevelop 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.

Sklep: Libristo.pl

366,59 zł

SPARK IN ACTION SECOND EDITION JEAN GEORGES PERRIN WYDAWCA

Podręczniki, artykuły szkolne > Podręczniki do szkół podst. i średnich

Spark in Action, Second Edition   The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In  Spark in Action, Second Edition , you

Sklep: ksiazkitanie.pl

332,03 zł

Pro Tableau APress

Książki / Literatura obcojęzyczna

The book will discuss the significance of Visualization in Business Intelligence and Data Science Using Tableau. It will explore the power of statistics and data mining to help with the understanding of data and make compelling dashboards to enable quicker decision making. The book will encourage self-service BI by placing power directly in the hands of business users. It will be intuitive enough to help pull together good visualization quickly yet leave room for deeper exploration. The book will cover the connectivity to varied data sources such as spreadsheets (Excel), text files (.txt), MS access databases (.accdb), RDBMSs (MS SQL Server, Oracle, MySQL), NoSQL (MongoDB, Cassandra), Big Data (Cloudera Hadoop), R Scripts (.rdata), etc. The book will have detailed steps on connecting to single and multiple (similar and disparate) data sources. The book will discuss several types of charts (bar, stacked bar, combination charts, dual axis charts, area charts, bubble charts, heat maps, tree maps, highlight tables, pie charts, histogram, box and whisker plot, etc). The book will have a complete section dedicated to data mining. This will be covered by bringing together R analytics with Tableau. The power of visual analytics to tell a compelling story will be discussed with a couple of good use cases. What you will learn: -How to connect various data sources such as structured RDBMS (SQL Server, Oracle), non-relational databases (NoSQL such as MongoDB, Cassandra), multi-dimensional data structure (cube in SSAS), and also write your own custom SQL, etc. -How to Perform logistics regression and statistical analysis in tableau using R -How to Integrate Tableau with R -Telling a meaningful story with data by creating highly interactive dashboards Who this book is for: The audience for this book includes all levels of IT professionals, from executives responsible for determining IT strategies to systems administrators, to data analysts, to decision makers responsible for driving strategic initiatives, etc. It will help to chart your journey from a novice to a professional visualization expert.

Sklep: Libristo.pl

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