Programming Elastic Mapreduce

Programming Elastic Mapreduce Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Programming Elastic Mapreduce book. This book definitely worth reading, it is an incredibly well-written.

Programming Elastic MapReduce

Kevin Schmidt,Christopher Phillips
Programming Elastic MapReduce Book PDF

Author : Kevin Schmidt,Christopher Phillips
Publisher : "O'Reilly Media, Inc."
Page : 264 pages
File Size : 48,8 Mb
Release : 2013-12-10
Category : Computers
ISBN : 9781449364045

Get Book

Programming Elastic MapReduce by Kevin Schmidt,Christopher Phillips Pdf

Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS). Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you’ll learn how to assemble the building blocks necessary to solve your biggest data analysis problems. Get an overview of the AWS and Apache software tools used in large-scale data analysis Go through the process of executing a Job Flow with a simple log analyzer Discover useful MapReduce patterns for filtering and analyzing data sets Use Apache Hive and Pig instead of Java to build a MapReduce Job Flow Learn the basics for using Amazon EMR to run machine learning algorithms Develop a project cost model for using Amazon EMR and other AWS tools

Programming Elastic MapReduce

Kevin Schmidt,Christopher Phillips
Programming Elastic MapReduce Book PDF

Author : Kevin Schmidt,Christopher Phillips
Publisher : "O'Reilly Media, Inc."
Page : 173 pages
File Size : 48,6 Mb
Release : 2013-12-10
Category : Computers
ISBN : 9781449364052

Get Book

Programming Elastic MapReduce by Kevin Schmidt,Christopher Phillips Pdf

Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS). Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, you’ll learn how to assemble the building blocks necessary to solve your biggest data analysis problems. Get an overview of the AWS and Apache software tools used in large-scale data analysis Go through the process of executing a Job Flow with a simple log analyzer Discover useful MapReduce patterns for filtering and analyzing data sets Use Apache Hive and Pig instead of Java to build a MapReduce Job Flow Learn the basics for using Amazon EMR to run machine learning algorithms Develop a project cost model for using Amazon EMR and other AWS tools

Functional Programming in C#

Oliver Sturm
Functional Programming in C Book PDF

Author : Oliver Sturm
Publisher : John Wiley and Sons
Page : 288 pages
File Size : 54,6 Mb
Release : 2011-04-11
Category : Computers
ISBN : 9780470744581

Get Book

Functional Programming in C# by Oliver Sturm Pdf

Presents a guide to the features of C♯, covering such topics as functions, generics, iterators, currying, caching, order functions, sequences, monads, and MapReduce.

Web-Scale Data Management for the Cloud

Wolfgang Lehner,Kai-Uwe Sattler
Web Scale Data Management for the Cloud Book PDF

Author : Wolfgang Lehner,Kai-Uwe Sattler
Publisher : Springer Science & Business Media
Page : 209 pages
File Size : 44,5 Mb
Release : 2013-04-06
Category : Computers
ISBN : 9781461468561

Get Book

Web-Scale Data Management for the Cloud by Wolfgang Lehner,Kai-Uwe Sattler Pdf

The efficient management of a consistent and integrated database is a central task in modern IT and highly relevant for science and industry. Hardly any critical enterprise solution comes without any functionality for managing data in its different forms. Web-Scale Data Management for the Cloud addresses fundamental challenges posed by the need and desire to provide database functionality in the context of the Database as a Service (DBaaS) paradigm for database outsourcing. This book also discusses the motivation of the new paradigm of cloud computing, and its impact to data outsourcing and service-oriented computing in data-intensive applications. Techniques with respect to the support in the current cloud environments, major challenges, and future trends are covered in the last section of this book. A survey addressing the techniques and special requirements for building database services are provided in this book as well.

Programming Hive

Edward Capriolo,Dean Wampler,Jason Rutherglen
Programming Hive Book PDF

Author : Edward Capriolo,Dean Wampler,Jason Rutherglen
Publisher : "O'Reilly Media, Inc."
Page : 351 pages
File Size : 47,5 Mb
Release : 2012-09-26
Category : Computers
ISBN : 9781449319335

Get Book

Programming Hive by Edward Capriolo,Dean Wampler,Jason Rutherglen Pdf

Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem. This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data. Use Hive to create, alter, and drop databases, tables, views, functions, and indexes Customize data formats and storage options, from files to external databases Load and extract data from tables—and use queries, grouping, filtering, joining, and other conventional query methods Gain best practices for creating user defined functions (UDFs) Learn Hive patterns you should use and anti-patterns you should avoid Integrate Hive with other data processing programs Use storage handlers for NoSQL databases and other datastores Learn the pros and cons of running Hive on Amazon’s Elastic MapReduce

Programming MapReduce with Scalding

Antonios Chalkiopoulos
Programming MapReduce with Scalding Book PDF

Author : Antonios Chalkiopoulos
Publisher : Packt Publishing Ltd
Page : 225 pages
File Size : 54,8 Mb
Release : 2014-06-25
Category : Computers
ISBN : 9781783287024

Get Book

Programming MapReduce with Scalding by Antonios Chalkiopoulos Pdf

This book is an easy-to-understand, practical guide to designing, testing, and implementing complex MapReduce applications in Scala using the Scalding framework. It is packed with examples featuring log-processing, ad-targeting, and machine learning. This book is for developers who are willing to discover how to effectively develop MapReduce applications. Prior knowledge of Hadoop or Scala is not required; however, investing some time on those topics would certainly be beneficial.

Programming Hive

Edward Capriolo,Dean Wampler,Jason Rutherglen
Programming Hive Book PDF

Author : Edward Capriolo,Dean Wampler,Jason Rutherglen
Publisher : "O'Reilly Media, Inc."
Page : 350 pages
File Size : 41,7 Mb
Release : 2012-09-19
Category : Computers
ISBN : 9781449326975

Get Book

Programming Hive by Edward Capriolo,Dean Wampler,Jason Rutherglen Pdf

Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem. This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data. Use Hive to create, alter, and drop databases, tables, views, functions, and indexes Customize data formats and storage options, from files to external databases Load and extract data from tables—and use queries, grouping, filtering, joining, and other conventional query methods Gain best practices for creating user defined functions (UDFs) Learn Hive patterns you should use and anti-patterns you should avoid Integrate Hive with other data processing programs Use storage handlers for NoSQL databases and other datastores Learn the pros and cons of running Hive on Amazon’s Elastic MapReduce

Frank Kane's Taming Big Data with Apache Spark and Python

Frank Kane
Frank Kane s Taming Big Data with Apache Spark and Python Book PDF

Author : Frank Kane
Publisher : Packt Publishing Ltd
Page : 289 pages
File Size : 46,7 Mb
Release : 2017-06-30
Category : Computers
ISBN : 9781787288300

Get Book

Frank Kane's Taming Big Data with Apache Spark and Python by Frank Kane Pdf

Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. About This Book Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Who This Book Is For If you are a data scientist or data analyst who wants to learn Big Data processing using Apache Spark and Python, this book is for you. If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, Frank Kane's Taming Big Data with Apache Spark and Python will also help you. What You Will Learn Find out how you can identify Big Data problems as Spark problems Install and run Apache Spark on your computer or on a cluster Analyze large data sets across many CPUs using Spark's Resilient Distributed Datasets Implement machine learning on Spark using the MLlib library Process continuous streams of data in real time using the Spark streaming module Perform complex network analysis using Spark's GraphX library Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster In Detail Frank Kane's Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you'll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jobs quickly using Python. Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis, making it an essential tool in many modern businesses. Frank has packed this book with over 15 interactive, fun-filled examples relevant to the real world, and he will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease. Style and approach Frank Kane's Taming Big Data with Apache Spark and Python is a hands-on tutorial with over 15 real-world examples carefully explained by Frank in a step-by-step manner. The examples vary in complexity, and you can move through them at your own pace.

Network Programming and Automation Essentials

Claus Topke
Network Programming and Automation Essentials Book PDF

Author : Claus Topke
Publisher : Packt Publishing Ltd
Page : 296 pages
File Size : 51,5 Mb
Release : 2023-04-07
Category : Computers
ISBN : 9781803240152

Get Book

Network Programming and Automation Essentials by Claus Topke Pdf

Unleash the power of automation by mastering network programming fundamentals using Python and Go best practices Purchase of the print or Kindle book includes a free PDF eBook Key Features Understand the fundamentals of network programming and automation Learn tips and tricks to transition from traditional networking to automated networks Solve everyday problems with automation frameworks in Python and Go Book Description Network programming and automation, unlike traditional networking, is a modern-day skill that helps in configuring, managing, and operating networks and network devices. This book will guide you with important information, helping you set up and start working with network programming and automation. With Network Programming and Automation Essentials, you'll learn the basics of networking in brief. You'll explore the network programming and automation ecosystem, learn about the leading programmable interfaces, and go through the protocols, tools, techniques, and technologies associated with network programming. You'll also master network automation using Python and Go with hands-on labs and real network emulation in this comprehensive guide. By the end of this book, you'll be well equipped to program and automate networks efficiently. What you will learn Understand the foundation of network programming Explore software-defined networks and related families Recognize the differences between Go and Python through comparison Leverage the best practices of Go and Python Create your own network automation testing framework using network emulation Acquire skills in using automation frameworks and strategies for automation Who this book is for This book is for network architects, network engineers, and software professionals looking to integrate programming into networks. Network engineers following traditional techniques can use this book to transition into modern-day network automation and programming. Familiarity with networking concepts is a prerequisite.

Enterprise Data Workflows with Cascading

Paco Nathan
Enterprise Data Workflows with Cascading Book PDF

Author : Paco Nathan
Publisher : "O'Reilly Media, Inc."
Page : 170 pages
File Size : 51,7 Mb
Release : 2013-07-11
Category : Computers
ISBN : 9781449359607

Get Book

Enterprise Data Workflows with Cascading by Paco Nathan Pdf

There is an easier way to build Hadoop applications. With this hands-on book, you’ll learn how to use Cascading, the open source abstraction framework for Hadoop that lets you easily create and manage powerful enterprise-grade data processing applications—without having to learn the intricacies of MapReduce. Working with sample apps based on Java and other JVM languages, you’ll quickly learn Cascading’s streamlined approach to data processing, data filtering, and workflow optimization. This book demonstrates how this framework can help your business extract meaningful information from large amounts of distributed data. Start working on Cascading example projects right away Model and analyze unstructured data in any format, from any source Build and test applications with familiar constructs and reusable components Work with the Scalding and Cascalog Domain-Specific Languages Easily deploy applications to Hadoop, regardless of cluster location or data size Build workflows that integrate several big data frameworks and processes Explore common use cases for Cascading, including features and tools that support them Examine a case study that uses a dataset from the Open Data Initiative

Learning Big Data with Amazon Elastic MapReduce

Amarkant Singh,Vijay Rayapati
Learning Big Data with Amazon Elastic MapReduce Book PDF

Author : Amarkant Singh,Vijay Rayapati
Publisher : Unknown
Page : 242 pages
File Size : 43,6 Mb
Release : 2014-10-10
Category : Computers
ISBN : 1782173439

Get Book

Learning Big Data with Amazon Elastic MapReduce by Amarkant Singh,Vijay Rayapati Pdf

This book is aimed at developers and system administrators who want to learn about Big Data analysis using Amazon Elastic MapReduce. Basic Java programming knowledge is required. You should be comfortable with using command-line tools. Prior knowledge of AWS, API, and CLI tools is not assumed. Also, no exposure to Hadoop and MapReduce is expected.

Data Wrangling with Python

Jacqueline Kazil,Katharine Jarmul
Data Wrangling with Python Book PDF

Author : Jacqueline Kazil,Katharine Jarmul
Publisher : "O'Reilly Media, Inc."
Page : 501 pages
File Size : 45,8 Mb
Release : 2016-02-04
Category : Computers
ISBN : 9781491956809

Get Book

Data Wrangling with Python by Jacqueline Kazil,Katharine Jarmul Pdf

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process

Cloud Computing

Christian Baun,Marcel Kunze,Jens Nimis,Stefan Tai
Cloud Computing Book PDF

Author : Christian Baun,Marcel Kunze,Jens Nimis,Stefan Tai
Publisher : Springer Science & Business Media
Page : 105 pages
File Size : 48,7 Mb
Release : 2011-07-14
Category : Computers
ISBN : 9783642209178

Get Book

Cloud Computing by Christian Baun,Marcel Kunze,Jens Nimis,Stefan Tai Pdf

Cloud computing is a buzz-word in today’s information technology (IT) that nobody can escape. But what is really behind it? There are many interpretations of this term, but no standardized or even uniform definition. Instead, as a result of the multi-faceted viewpoints and the diverse interests expressed by the various stakeholders, cloud computing is perceived as a rather fuzzy concept. With this book, the authors deliver an overview of cloud computing architecture, services, and applications. Their aim is to bring readers up to date on this technology and thus to provide a common basis for discussion, new research, and novel application scenarios. They first introduce the foundation of cloud computing with its basic technologies, such as virtualization and Web services. After that they discuss the cloud architecture and its service modules. The following chapters then cover selected commercial cloud offerings (including Amazon Web Services and Google App Engine) and management tools, and present current related open-source developments (including Hadoop, Eucalyptus, and Open CirrusTM). Next, economic considerations (cost and business models) are discussed, and an evaluation of the cloud market situation is given. Finally, the appendix contains some practical examples of how to use cloud resources or cloud applications, and a glossary provides concise definitions of key terms. The authors’ presentation does not require in-depth technical knowledge. It is equally intended as an introduction for students in software engineering, web technologies, or business development, for professional software developers or system architects, and for future-oriented decision-makers like top executives and managers.

Agile Data Science

Russell Jurney
Agile Data Science Book PDF

Author : Russell Jurney
Publisher : "O'Reilly Media, Inc."
Page : 177 pages
File Size : 54,7 Mb
Release : 2013-10-15
Category : Computers
ISBN : 9781449326920

Get Book

Agile Data Science by Russell Jurney Pdf

Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop. Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. You’ll learn an iterative approach that enables you to quickly change the kind of analysis you’re doing, depending on what the data is telling you. All example code in this book is available as working Heroku apps. Create analytics applications by using the agile big data development methodology Build value from your data in a series of agile sprints, using the data-value stack Gain insight by using several data structures to extract multiple features from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future, and translate predictions into action Get feedback from users after each sprint to keep your project on track

Foundations of Python Network Programming

John Goerzen,Tim Bower,Brandon Rhodes
Foundations of Python Network Programming Book PDF

Author : John Goerzen,Tim Bower,Brandon Rhodes
Publisher : Apress
Page : 361 pages
File Size : 45,7 Mb
Release : 2011-02-24
Category : Computers
ISBN : 9781430230045

Get Book

Foundations of Python Network Programming by John Goerzen,Tim Bower,Brandon Rhodes Pdf

This second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Python has made great strides since Apress released the first edition of this book back in the days of Python 2.3. The advances required new chapters to be written from the ground up, and others to be extensively revised. You will learn fundamentals like IP, TCP, DNS and SSL by using working Python programs; you will also be able to familiarize yourself with infrastructure components like memcached and message queues. You can also delve into network server designs, and compare threaded approaches with asynchronous event-based solutions. But the biggest change is this edition's expanded treatment of the web. The HTTP protocol is covered in extensive detail, with each feature accompanied by sample Python code. You can use your HTTP protocol expertise by studying an entire chapter on screen scraping and you can then test lxml and BeautifulSoup against a real-world web site. The chapter on web application programming now covers both the WSGI standard for component interoperability, as well as modern web frameworks like Django. Finally, all of the old favorites from the first edition are back: E-mail protocols like SMTP, POP, and IMAP get full treatment, as does XML-RPC. You can still learn how to code Python network programs using the Telnet and FTP protocols, but you are likely to appreciate the power of more modern alternatives like the paramiko SSH2 library. If you are a Python programmer who needs to learn the network, this is the book that you want by your side.