Download or read online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get book now. This site is like a library, Use search box in the widget to get ebook that you want.

Practical Hadoop Migration

Practical Hadoop Migration Author Bhushan Lakhe
ISBN-10 9781484212875
Release 2016-08-10
Pages 305
Download Link Click Here

Re-architect relational applications to NoSQL, integrate relational database management systems with the Hadoop ecosystem, and transform and migrate relational data to and from Hadoop components. This book covers the best-practice design approaches to re-architecting your relational applications and transforming your relational data to optimize concurrency, security, denormalization, and performance. Winner of IBM’s 2012 Gerstner Award for his implementation of big data and data warehouse initiatives and author of Practical Hadoop Security, author Bhushan Lakhe walks you through the entire transition process. First, he lays out the criteria for deciding what blend of re-architecting, migration, and integration between RDBMS and HDFS best meets your transition objectives. Then he demonstrates how to design your transition model. Lakhe proceeds to cover the selection criteria for ETL tools, the implementation steps for migration with SQOOP- and Flume-based data transfers, and transition optimization techniques for tuning partitions, scheduling aggregations, and redesigning ETL. Finally, he assesses the pros and cons of data lakes and Lambda architecture as integrative solutions and illustrates their implementation with real-world case studies. Hadoop/NoSQL solutions do not offer by default certain relational technology features such as role-based access control, locking for concurrent updates, and various tools for measuring and enhancing performance. Practical Hadoop Migration shows how to use open-source tools to emulate such relational functionalities in Hadoop ecosystem components. What You'll Learn Decide whether you should migrate your relational applications to big data technologies or integrate them Transition your relational applications to Hadoop/NoSQL platforms in terms of logical design and physical implementation Discover RDBMS-to-HDFS integration, data transformation, and optimization techniques Consider when to use Lambda architecture and data lake solutions Select and implement Hadoop-based components and applications to speed transition, optimize integrated performance, and emulate relational functionalities Who This Book Is For Database developers, database administrators, enterprise architects, Hadoop/NoSQL developers, and IT leaders. Its secondary readership is project and program managers and advanced students of database and management information systems.



Next Generation Databases

Next Generation Databases Author Guy Harrison
ISBN-10 9781484213292
Release 2015-12-30
Pages 235
Download Link Click Here

"It’s not easy to find such a generous book on big data and databases. Fortunately, this book is the one." Feng Yu. Computing Reviews. June 28, 2016. This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex decision with significant implications. The relational database (RDBMS) model completely dominated database technology for over 20 years. Today this "one size fits all" stability has been disrupted by a relatively recent explosion of new database technologies. These paradigm-busting technologies are powering the "Big Data" and "NoSQL" revolutions, as well as forcing fundamental changes in databases across the board. Deciding to use a relational database was once truly a no-brainer, and the various commercial relational databases competed on price, performance, reliability, and ease of use rather than on fundamental architectures. Today we are faced with choices between radically different database technologies. Choosing the right database today is a complex undertaking, with serious economic and technological consequences. Next Generation Databases demystifies today’s new database technologies. The book describes what each technology was designed to solve. It shows how each technology can be used to solve real word application and business problems. Most importantly, this book highlights the architectural differences between technologies that are the critical factors to consider when choosing a database platform for new and upcoming projects. Introduces the new technologies that have revolutionized the database landscape Describes how each technology can be used to solve specific application or business challenges Reviews the most popular new wave databases and how they use these new database technologies



Practical Hadoop Security

Practical Hadoop Security Author Bhushan Lakhe
ISBN-10 9781430265450
Release 2014-12-12
Pages 220
Download Link Click Here

Practical Hadoop Security is an excellent resource for administrators planning a production Hadoop deployment who want to secure their Hadoop clusters. A detailed guide to the security options and configuration within Hadoop itself, author Bhushan Lakhe takes you through a comprehensive study of how to implement defined security within a Hadoop cluster in a hands-on way. You will start with a detailed overview of all the security options available for Hadoop, including popular extensions like Kerberos and OpenSSH, and then delve into a hands-on implementation of user security (with illustrated code samples) with both in-the-box features and with security extensions implemented by leading vendors. No security system is complete without a monitoring and tracing facility, so Practical Hadoop Security next steps you through audit logging and monitoring technologies for Hadoop, as well as ready to use implementation and configuration examples--again with illustrated code samples. The book concludes with the most important aspect of Hadoop security – encryption. Both types of encryptions, for data in transit and data at rest, are discussed at length with leading open source projects that integrate directly with Hadoop at no licensing cost. Practical Hadoop Security: Explains importance of security, auditing and encryption within a Hadoop installation Describes how the leading players have incorporated these features within their Hadoop distributions and provided extensions Demonstrates how to set up and use these features to your benefit and make your Hadoop installation secure without impacting performance or ease of use



NoSQL Distilled

NoSQL Distilled Author Pramod J. Sadalage
ISBN-10 9780321826626
Release 2013
Pages 164
Download Link Click Here

The need to handle increasingly larger data volumes is one factor driving the adoption of a new class of nonrelational “NoSQL” databases. Advocates of NoSQL databases claim they can be used to build systems that are more performant, scale better, and are easier to program. NoSQL Distilled is a concise but thorough introduction to this rapidly emerging technology. Pramod J. Sadalage and Martin Fowler explain how NoSQL databases work and the ways that they may be a superior alternative to a traditional RDBMS. The authors provide a fast-paced guide to the concepts you need to know in order to evaluate whether NoSQL databases are right for your needs and, if so, which technologies you should explore further. The first part of the book concentrates on core concepts, including schemaless data models, aggregates, new distribution models, the CAP theorem, and map-reduce. In the second part, the authors explore architectural and design issues associated with implementing NoSQL. They also present realistic use cases that demonstrate NoSQL databases at work and feature representative examples using Riak, MongoDB, Cassandra, and Neo4j. In addition, by drawing on Pramod Sadalage's pioneering work, NoSQL Distilled shows how to implement evolutionary design with schema migration: an essential technique for applying NoSQL databases. The book concludes by describing how NoSQL is ushering in a new age of Polyglot Persistence, where multiple data-storage worlds coexist, and architects can choose the technology best optimized for each type of data access.



Managing Data in Motion

Managing Data in Motion Author April Reeve
ISBN-10 9780123977915
Release 2013-02-26
Pages 204
Download Link Click Here

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types Explains, in non-technical terms, the architecture and components required to perform data integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"



From Mom to Me Again

From Mom to Me Again Author Melissa Shultz
ISBN-10 9781492618447
Release 2016-07-05
Pages 224
Download Link Click Here

Live your best life—even after your kids leave home When her children left for college, Melissa Shultz was certain that she had prepared them well for their new lives-but her own life was a different matter entirely. Her house was empty, her purpose unclear. If her life was no longer dominated by the day-to-day demands of being "Mom," then who exactly was she? And how would she ever move forward? From Mom to Me Again is the story of one woman's reinvention. Shultz's struggle with the empty nest and the transformation of her marriage, friendships, career, and ultimately herself, is part memoir and part self-help guide. Funny, poignant, and practical, this book tells Shultz's personal story and provides valuable advice for readers preparing to send their children off into the world. She shows women that while they'll always be mothers, it's time for them to take center stage in their own lives once again.



Threat Forecasting

Threat Forecasting Author John Pirc
ISBN-10 9780128004784
Release 2016-05-17
Pages 188
Download Link Click Here

Drawing upon years of practical experience and using numerous examples and illustrative case studies, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop threat forecasting techniques, and how to use threat data visualization techniques and threat simulation tools. Readers will gain valuable security insights into unstructured big data, along with tactics on how to use the data to their advantage to reduce risk. Presents case studies and actual data to demonstrate threat data visualization techniques and threat simulation tools Explores the usage of kill chain modelling to inform actionable security intelligence Demonstrates a methodology that can be used to create a full threat forecast analysis for enterprise networks of any size



Relational Psychotherapy

Relational Psychotherapy Author Patricia A. DeYoung
ISBN-10 9781317528753
Release 2015-03-24
Pages 228
Download Link Click Here

The new edition of Relational Psychotherapy offers a theory that’s immediately applicable to everyday practice, from opening sessions through intensive engagement to termination. In clear, engaging prose, the new edition makes explicit the ethical framework implied in the first edition, addresses the major concepts basic to relational practice, and elucidates the lessons learned since the first edition's publication. It’s the ideal guide for beginning practitioners but will also be useful to experienced practitioners and to clients interested in the therapy process.



Securing Hadoop

Securing Hadoop Author Sudheesh Narayanan
ISBN-10 9781783285266
Release 2013-11-22
Pages 116
Download Link Click Here

This book is a step-by-step tutorial filled with practical examples which will focus mainly on the key security tools and implementation techniques of Hadoop security.This book is great for Hadoop practitioners (solution architects, Hadoop administrators, developers, and Hadoop project managers) who are looking to get a good grounding in what Kerberos is all about and who wish to learn how to implement end-to-end Hadoop security within an enterprise setup. It’s assumed that you will have some basic understanding of Hadoop as well as be familiar with some basic security concepts.



Big Data Processing with Apache Spark

Big Data Processing with Apache Spark Author Srini Penchikala
ISBN-10 9781387659951
Release
Pages
Download Link Click Here

Big Data Processing with Apache Spark has been writing in one form or another for most of life. You can find so many inspiration from Big Data Processing with Apache Spark also informative, and entertaining. Click DOWNLOAD or Read Online button to get full Big Data Processing with Apache Spark book for free.



Hadoop for Finance Essentials

Hadoop for Finance Essentials Author Rajiv Tiwari
ISBN-10 9781784396329
Release 2015-04-30
Pages 168
Download Link Click Here

This book is perfect for developers, analysts, architects or managers who would like to perform big data analytics with Hadoop for the financial sector. This book is also helpful for technology professionals from other industry sectors who have recently switched or like to switch their business domain to financial sector. Familiarity with big data, Java programming, database and data warehouse, and business intelligence would be beneficial.



Moving Hadoop to the Cloud

Moving Hadoop to the Cloud Author Bill Havanki
ISBN-10 9781491959602
Release 2017-07-14
Pages 338
Download Link Click Here

Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there’s a lot more to deploying Hadoop to the public cloud than simply renting machines. This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, and manage cloud-born clusters efficiently. You’ll learn how to architect clusters that work with cloud-provider features—not just to avoid pitfalls, but also to take full advantage of these services. You’ll also compare the Amazon, Google, and Microsoft clouds, and learn how to set up clusters in each of them. Learn how Hadoop clusters run in the cloud, the problems they can help you solve, and their potential drawbacks Examine the common concepts of cloud providers, including compute capabilities, networking and security, and storage Build a functional Hadoop cluster on cloud infrastructure, and learn what the major providers require Explore use cases for high availability, relational data with Hive, and complex analytics with Spark Get patterns and practices for running cloud clusters, from designing for price and security to dealing with maintenance



Super Sneaky Uses for Everyday Things

Super Sneaky Uses for Everyday Things Author Cy Tymony
ISBN-10 9781449419752
Release 2011-11-01
Pages 160
Download Link Click Here

As the eighth book in Cy Tymony's Sneaky Uses series Super Sneaky Uses for Everyday Things includes never-before-seen activities, including Sneaky Fashion such as Light-up Nails and Sneaky Belts and Bracelets. Over 30 new inventions are outlined inside Super Sneaky Uses for Everyday Things, and most projects can be completed in just minutes using common items already found around the house. Each activity begins with a complete list of materials and continues with easy-to-follow, step-by-step instructions paired with helpful illustrations. Fans of all ages will use their ingenuity to turn ordinary, everyday objects into something extraordinary with the help of Super Sneaky Uses for Everyday Things.



Big Data Application Architecture Q A

Big Data Application Architecture Q A Author Nitin Sawant
ISBN-10 9781430262930
Release 2014-01-24
Pages 172
Download Link Click Here

Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to attain real-time profits. Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time 'how do you select the best end-to-end architecture to solve your big data problem?'. The book deals with various mission critical problems encountered by solution architects, consultants, and software architects while dealing with the myriad options available for implementing a typical solution, trying to extract insight from huge volumes of data in real–time and across multiple relational and non-relational data types for clients from industries like retail, telecommunication, banking, and insurance. The patterns in this book provide the strong architectural foundation required to launch your next big data application. The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures compared to the traditional monolithic and hugely expensive options that exist currently. This book describes and evaluates the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of trade-offs and validation of 'fitness-for-purpose' of the solution.



Hands on DevOps

Hands on DevOps Author Sricharan Vadapalli
ISBN-10 9781788476041
Release 2017-12-20
Pages 424
Download Link Click Here

Transform yourself into a specialist in DevOps adoption for Big Data on cloud About This Book Learn the concepts of Bigdata and Devops and Implement them Get Acquainted with DevOps Frameworks Methodologies and Tools A practical approach to build and work efficiently with your big data cluster Get introduced to multiple flavors of tools and platforms from vendors on Hadoop, Cloud, Containers and IoT Offerings In-Depth Technology understanding on Data Sciences, Microservices, Bigdata Who This Book Is For If you are a Big Data Architects, solutions provider, or any stakeholder working in big data environment and wants to implement the strategy of DevOps, then this book is for you. What You Will Learn Learn about the DevOps culture, its frameworks, maturity, and design patterns Get acquainted with multiple niche technologies microservices, containers, kubernetes, IoT, and cloud Build big data clusters, enterprise applications and data science models Apply DevOps concepts for continuous integration, delivery, deployment and monitoring Get introduced to Open source tools, service offerings from multiple vendors Start digital journey to apply DevOps concepts to migrate big data, cloud, microservices, IoT, security, ERP systems In Detail DevOps strategies have really become an important factor for big data environments. This book initially provides an introduction to big data, DevOps, and Cloud computing along with the need for DevOps strategies in big data environments. We move on to explore the adoption of DevOps frameworks and business scenarios. We then build a big data cluster, deploy it on the cloud, and explore DevOps activities such as CI/CD and containerization. Next, we cover big data concepts such as ETL for data sources, Hadoop clusters, and their applications. Towards the end of the book, we explore ERP applications useful for migrating to DevOps frameworks and examine a few case studies for migrating big data and prediction models. By the end of this book, you will have mastered implementing DevOps tools and strategies for your big data clusters. Style and approach A clear, concise, and straightforward book that will enable you to use and implement DevOps on big data to improve the efficiency.



Virtualizing Hadoop

Virtualizing Hadoop Author George Trujillo
ISBN-10 9780133811131
Release 2015-07-14
Pages 480
Download Link Click Here

Plan and Implement Hadoop Virtualization for Maximum Performance, Scalability, and Business Agility Enterprises running Hadoop must absorb rapid changes in big data ecosystems, frameworks, products, and workloads. Virtualized approaches can offer important advantages in speed, flexibility, and elasticity. Now, a world-class team of enterprise virtualization and big data experts guide you through the choices, considerations, and tradeoffs surrounding Hadoop virtualization. The authors help you decide whether to virtualize Hadoop, deploy Hadoop in the cloud, or integrate conventional and virtualized approaches in a blended solution. First, Virtualizing Hadoop reviews big data and Hadoop from the standpoint of the virtualization specialist. The authors demystify MapReduce, YARN, and HDFS and guide you through each stage of Hadoop data management. Next, they turn the tables, introducing big data experts to modern virtualization concepts and best practices. Finally, they bring Hadoop and virtualization together, guiding you through the decisions you’ll face in planning, deploying, provisioning, and managing virtualized Hadoop. From security to multitenancy to day-to-day management, you’ll find reliable answers for choosing your best Hadoop strategy and executing it. Coverage includes the following: • Reviewing the frameworks, products, distributions, use cases, and roles associated with Hadoop • Understanding YARN resource management, HDFS storage, and I/O • Designing data ingestion, movement, and organization for modern enterprise data platforms • Defining SQL engine strategies to meet strict SLAs • Considering security, data isolation, and scheduling for multitenant environments • Deploying Hadoop as a service in the cloud • Reviewing the essential concepts, capabilities, and terminology of virtualization • Applying current best practices, guidelines, and key metrics for Hadoop virtualization • Managing multiple Hadoop frameworks and products as one unified system • Virtualizing master and worker nodes to maximize availability and performance • Installing and configuring Linux for a Hadoop environment



Disruptive Possibilities How Big Data Changes Everything

Disruptive Possibilities  How Big Data Changes Everything Author Jeffrey Needham
ISBN-10 9781449369002
Release 2013-05-06
Pages 90
Download Link Click Here

Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies. Disruptive Possibilities provides an historically-informed overview through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds. This relentlessly innovative form of computing will soon become standard practice for organizations of any size attempting to derive insight from the tsunami of data engulfing them. Replacing legacy silos—whether they’re infrastructure, organizational, or vendor silos—with a platform-centric perspective is just one of the big stories of big data. To reap maximum value from the myriad forms of data, organizations and vendors will have to adopt highly collaborative habits and methodologies.