Implementing Ibm Infosphere Biginsights On Ibm System X

Author : Mike Ebbers,Renata Ghisloti de Souza,Marcelo Correia Lima,Peter McCullagh,Michael Nobles,Dustin VanStee,Brandon Waters,IBM Redbooks
Publisher : IBM Redbooks
Page : 224 pages
File Size : 43,6 Mb
Release : 2013-06-12
Category : Computers
ISBN : 9780738438283

Get Book

Implementing IBM InfoSphere BigInsights on IBM System x by Mike Ebbers,Renata Ghisloti de Souza,Marcelo Correia Lima,Peter McCullagh,Michael Nobles,Dustin VanStee,Brandon Waters,IBM Redbooks Pdf

As world activities become more integrated, the rate of data growth has been increasing exponentially. And as a result of this data explosion, current data management methods can become inadequate. People are using the term big data (sometimes referred to as Big Data) to describe this latest industry trend. IBM® is preparing the next generation of technology to meet these data management challenges. To provide the capability of incorporating big data sources and analytics of these sources, IBM developed a stream-computing product that is based on the open source computing framework Apache Hadoop. Each product in the framework provides unique capabilities to the data management environment, and further enhances the value of your data warehouse investment. In this IBM Redbooks® publication, we describe the need for big data in an organization. We then introduce IBM InfoSphere® BigInsightsTM and explain how it differs from standard Hadoop. BigInsights provides a packaged Hadoop distribution, a greatly simplified installation of Hadoop and corresponding open source tools for application development, data movement, and cluster management. BigInsights also brings more options for data security, and as a component of the IBM big data platform, it provides potential integration points with the other components of the platform. A new chapter has been added to this edition. Chapter 11 describes IBM Platform Symphony®, which is a new scheduling product that works with IBM Insights, bringing low-latency scheduling and multi-tenancy to IBM InfoSphere BigInsights. The book is designed for clients, consultants, and other technical professionals.

Author : Mike Ebbers,Renata De Souza,Marcelo Lima,Peter McCullagh,Michael Nobles,Dustin VanStee,Brandon Waters
Publisher : Unknown
Page : 224 pages
File Size : 52,6 Mb
Release : 2013
Category : Apache Hadoop
ISBN : OCLC:1105796436

Get Book

Implementing IBM InfoSphere BigInsights on IBM System X by Mike Ebbers,Renata De Souza,Marcelo Lima,Peter McCullagh,Michael Nobles,Dustin VanStee,Brandon Waters Pdf

As world activities become more integrated, the rate of data growth has been increasing exponentially. And as a result of this data explosion, current data management methods can become inadequate. People are using the term big data (sometimes referred to as Big Data) to describe this latest industry trend. IBM® is preparing the next generation of technology to meet these data management challenges. To provide the capability of incorporating big data sources and analytics of these sources, IBM developed a stream-computing product that is based on the open source computing framework Apache Hadoop. Each product in the framework provides unique capabilities to the data management environment, and further enhances the value of your data warehouse investment. In this IBM Redbooks® publication, we describe the need for big data in an organization. We then introduce IBM InfoSphere® BigInsights and explain how it differs from standard Hadoop. BigInsights provides a packaged Hadoop distribution, a greatly simplified installation of Hadoop and corresponding open source tools for application development, data movement, and cluster management. BigInsights also brings more options for data security, and as a component of the IBM big data platform, it provides potential integration points with the other components of the platform. A new chapter has been added to this edition. Chapter 11 describes IBM Platform Symphony®, which is a new scheduling product that works with IBM Insights, bringing low-latency scheduling and multi-tenancy to IBM InfoSphere BigInsights. The book is designed for clients, consultants, and other technical professionals.

Author : Dino Quintero,Esteban Arias Navarro,Pablo Barquero Garro,Rodrigo Ceron Ferreira de Castro,Luis Carlos Cruz Huertas,Peng Jiang,Franz Friedrich Liebinger Portela,Peter McCullagh,Ichsan Mulia Permata,Joanna Wong,John Wright,IBM Redbooks
Publisher : IBM Redbooks
Page : 236 pages
File Size : 45,7 Mb
Release : 2015-06-16
Category : Computers
ISBN : 9780738440743

Get Book

Implementing an IBM InfoSphere BigInsights Cluster using Linux on Power by Dino Quintero,Esteban Arias Navarro,Pablo Barquero Garro,Rodrigo Ceron Ferreira de Castro,Luis Carlos Cruz Huertas,Peng Jiang,Franz Friedrich Liebinger Portela,Peter McCullagh,Ichsan Mulia Permata,Joanna Wong,John Wright,IBM Redbooks Pdf

This IBM® Redbooks® publication demonstrates and documents how to implement and manage an IBM PowerLinuxTM cluster for big data focusing on hardware management, operating systems provisioning, application provisioning, cluster readiness check, hardware, operating system, IBM InfoSphere® BigInsightsTM, IBM Platform Symphony®, IBM SpectrumTM Scale (formerly IBM GPFSTM), applications monitoring, and performance tuning. This publication shows that IBM PowerLinux clustering solutions (hardware and software) deliver significant value to clients that need cost-effective, highly scalable, and robust solutions for big data and analytics workloads. This book documents and addresses topics on how to use IBM Platform Cluster Manager to manage PowerLinux BigData data clusters through IBM InfoSphere BigInsights, Spectrum Scale, and Platform Symphony. This book documents how to set up and manage a big data cluster on PowerLinux servers to customize application and programming solutions, and to tune applications to use IBM hardware architectures. This document uses the architectural technologies and the software solutions that are available from IBM to help solve challenging technical and business problems. This book is targeted at technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering cost-effective Linux on IBM Power SystemsTM solutions that help uncover insights among client's data so they can act to optimize business results, product development, and scientific discoveries.

Author : Dino Quintero,Rodrigo Ceron,Murali Dhandapani,Rodrigo Garcia da Silva,Amitava Ghosal,Victor Hu,Hua Chen Li,Kailash Marthi,Shao Feng Shi,Stefan Velica,IBM Redbooks
Publisher : IBM Redbooks
Page : 266 pages
File Size : 41,6 Mb
Release : 2013-10-28
Category : Computers
ISBN : 9780738438788

Get Book

IBM Technical Computing Clouds by Dino Quintero,Rodrigo Ceron,Murali Dhandapani,Rodrigo Garcia da Silva,Amitava Ghosal,Victor Hu,Hua Chen Li,Kailash Marthi,Shao Feng Shi,Stefan Velica,IBM Redbooks Pdf

This IBM® Redbooks® publication highlights IBM Technical Computing as a flexible infrastructure for clients looking to reduce capital and operational expenditures, optimize energy usage, or re-use the infrastructure. This book strengthens IBM SmartCloud® solutions, in particular IBM Technical Computing clouds, with a well-defined and documented deployment model within an IBM System x® or an IBM Flex SystemTM. This provides clients with a cost-effective, highly scalable, robust solution with a planned foundation for scaling, capacity, resilience, optimization, automation, and monitoring. This book is targeted toward technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) responsible for providing cloud-computing solutions and support.

Author : Prem Jain,Stewart Tate,IBM Redbooks
Publisher : IBM Redbooks
Page : 56 pages
File Size : 54,8 Mb
Release : 2013-07-12
Category : Computers
ISBN : 9780738451046

Get Book

Big Data Networked Storage Solution for Hadoop by Prem Jain,Stewart Tate,IBM Redbooks Pdf

This IBM® RedpaperTM provides a reference architecture, based on Apache Hadoop, to help businesses gain control over their data, meet tight service level agreements (SLAs) around their data applications, and turn data-driven insight into effective action. Big Data Networked Storage Solution for Hadoop delivers the capabilities for ingesting, storing, and managing large data sets with high reliability. IBM InfoSphere® Big InsightsTM provides an innovative analytics platform that processes and analyzes all types of data to turn large complex data into insight. IBM InfoSphere BigInsights brings the power of Hadoop to the enterprise. With built-in analytics, extensive integration capabilities, and the reliability, security and support that you require, IBM can help put your big data to work for you. This IBM Redpaper publication provides basic guidelines and best practices for how to size and configure Big Data Networked Storage Solution for Hadoop.

Author : Dino Quintero,Ricardo Dobelin Barros,Ashraf Gomaa,José Higino,Archana Kumar,Majid Ouassir,Adam Parker,Joanna Wong,IBM Redbooks
Publisher : IBM Redbooks
Page : 144 pages
File Size : 52,5 Mb
Release : 2013-05-01
Category : Computers
ISBN : 9780738437880

Get Book

IBM Platform Computing Integration Solutions by Dino Quintero,Ricardo Dobelin Barros,Ashraf Gomaa,José Higino,Archana Kumar,Majid Ouassir,Adam Parker,Joanna Wong,IBM Redbooks Pdf

This IBM® Redbooks® publication describes the integration of IBM Platform Symphony® with IBM BigInsightsTM. It includes IBM Platform LSF® implementation scenarios that use IBM System x® technologies. This IBM Redbooks publication is written for consultants, technical support staff, IT architects, and IT specialists who are responsible for providing solutions and support for IBM Platform Computing solutions. This book explains how the IBM Platform Computing solutions and the IBM System x platform can help to solve customer challenges and to maximize systems throughput, capacity, and management. It examines the tools, utilities, documentation, and other resources that are available to help technical teams provide solutions and support for IBM Platform Computing solutions in a System x environment. In addition, this book includes a well-defined and documented deployment model within a System x environment. It provides a planned foundation for provisioning and building large scale parallel high-performance computing (HPC) applications, cluster management, analytics workloads, and grid applications.

Author : Dino Quintero,Daniel de Souza Casali,Marcelo Correia Lima,Istvan Gabor Szabo,Maciej Olejniczak,Tiago Rodrigues de Mello,Nilton Carlos dos Santos,IBM Redbooks
Publisher : IBM Redbooks
Page : 180 pages
File Size : 51,8 Mb
Release : 2015-06-29
Category : Computers
ISBN : 9780738440774

Get Book

IBM Software Defined Infrastructure for Big Data Analytics Workloads by Dino Quintero,Daniel de Souza Casali,Marcelo Correia Lima,Istvan Gabor Szabo,Maciej Olejniczak,Tiago Rodrigues de Mello,Nilton Carlos dos Santos,IBM Redbooks Pdf

This IBM® Redbooks® publication documents how IBM Platform Computing, with its IBM Platform Symphony® MapReduce framework, IBM Spectrum Scale (based Upon IBM GPFSTM), IBM Platform LSF®, the Advanced Service Controller for Platform Symphony are work together as an infrastructure to manage not just Hadoop-related offerings, but many popular industry offeringsm such as Apach Spark, Storm, MongoDB, Cassandra, and so on. It describes the different ways to run Hadoop in a big data environment, and demonstrates how IBM Platform Computing solutions, such as Platform Symphony and Platform LSF with its MapReduce Accelerator, can help performance and agility to run Hadoop on distributed workload managers offered by IBM. This information is for technical professionals (consultants, technical support staff, IT architects, and IT specialists) who are responsible for delivering cost-effective cloud services and big data solutions on IBM Power SystemsTM to help uncover insights among client's data so they can optimize product development and business results.

Author : Dino Quintero,Daniel de Souza Casali,Marcelo Correia Lima,Istvan Gabor Szabo,Maciej Olejniczak,Tiago Rodrigues de Mello,Nilton Carlos dos Santos,IBM Redbooks
Publisher : IBM Redbooks
Page : 176 pages
File Size : 43,5 Mb
Release : 2015-06-19
Category : Computers
ISBN : 9780738440750

Get Book

IBM Platform Computing Solutions for High Performance and Technical Computing Workloads by Dino Quintero,Daniel de Souza Casali,Marcelo Correia Lima,Istvan Gabor Szabo,Maciej Olejniczak,Tiago Rodrigues de Mello,Nilton Carlos dos Santos,IBM Redbooks Pdf

This IBM® Redbooks® publication is a refresh of IBM Technical Computing Clouds, SG24-8144, Enhance Inbound and Outbound Marketing with a Trusted Single View of the Customer, SG24-8173, and IBM Platform Computing Integration Solutions, SG24-8081, with a focus on High Performance and Technical Computing on IBM Power SystemsTM. This book describes synergies across the IBM product portfolio by using case scenarios and showing solutions such as IBM SpectrumTM Scale (formerly GPFSTM). This book also reflects and documents the IBM Platform Computing Cloud Services as part of IBM Platform Symphony® for analytics workloads and IBM Platform LSF® (with new features, such as a Hadoop connector, a MapReduce accelerator, and dynamic cluster) for job scheduling. Both products are used to help customers schedule and analyze large amounts of data for business productivity and competitive advantages. This book is targeted at technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering cost-effective cloud services and big data solutions on IBM Power Systems to uncover insights among client data so that they can take actions to optimize business results, product development, and scientific discoveries.

Author : Mike Ebbers,Ahmed Abdel-Gayed,Veera Bhadran Budhi,Ferdiansyah Dolot,Vishwanath Kamat,Ricardo Picone,Joao Trevelin,IBM Redbooks
Publisher : IBM Redbooks
Page : 320 pages
File Size : 45,6 Mb
Release : 2013-03-12
Category : Computers
ISBN : 9780738437804

Get Book

Addressing Data Volume, Velocity, and Variety with IBM InfoSphere Streams V3.0 by Mike Ebbers,Ahmed Abdel-Gayed,Veera Bhadran Budhi,Ferdiansyah Dolot,Vishwanath Kamat,Ricardo Picone,Joao Trevelin,IBM Redbooks Pdf

There are multiple uses for big data in every industry—from analyzing larger volumes of data than was previously possible to driving more precise answers, to analyzing data at rest and data in motion to capture opportunities that were previously lost. A big data platform will enable your organization to tackle complex problems that previously could not be solved using traditional infrastructure. As the amount of data available to enterprises and other organizations dramatically increases, more and more companies are looking to turn this data into actionable information and intelligence in real time. Addressing these requirements requires applications that are able to analyze potentially enormous volumes and varieties of continuous data streams to provide decision makers with critical information almost instantaneously. IBM® InfoSphere® Streams provides a development platform and runtime environment where you can develop applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams based on defined, proven, and analytical rules that alert you to take appropriate action, all within an appropriate time frame for your organization. This IBM Redbooks® publication is written for decision-makers, consultants, IT architects, and IT professionals who will be implementing a solution with IBM InfoSphere Streams.

Author : Mohamed Ben Ahmed,Boudhir Anouar Abdelhakim,Bernadetta Kwintiana Ane,Didi Rosiyadi
Publisher : Springer Nature
Page : 549 pages
File Size : 42,8 Mb
Release : 2022-08-31
Category : Technology & Engineering
ISBN : 9783031151910

Get Book

Emerging Trends in Intelligent Systems & Network Security by Mohamed Ben Ahmed,Boudhir Anouar Abdelhakim,Bernadetta Kwintiana Ane,Didi Rosiyadi Pdf

This book covers selected research works presented at the fifth International Conference on Networking, Information Systems and Security (NISS 2022), organized by the Research Center for Data and Information Sciences at the National Research and Innovation Agency (BRIN), Republic of Indonesia, and Moroccan Mediterranean Association of Sciences and Sustainable Development, Morocco, during March 30–31, 2022, hosted in online mode in Bandung, Indonesia. Building on the successful history of the conference series in the recent four years, this book aims to present the paramount role of connecting researchers around the world to disseminate and share new ideas in intelligent information systems, cyber-security, and networking technologies. The 49 chapters presented in this book were carefully reviewed and selected from 115 submissions. They focus on delivering intelligent solutions through leveraging advanced information systems, networking, and security for competitive advantage and cost savings in modern industrial sectors as well as public, business, and education sectors. Authors are eminent academicians, scientists, researchers, and scholars in their respective fields from across the world.

Author : Dave Jewell,Ricardo Dobelin Barros,Stefan Diederichs,Lydia M. Duijvestijn,Michael Hammersley,Arindam Hazra,Corneliu Holban,Yan Li,Osai Osaigbovo,Andreas Plach,Ivan Portilla,Mukerji Saptarshi,Harinder P. Seera,Elisabeth Stahl,Clea Zolotow,IBM Redbooks
Publisher : IBM Redbooks
Page : 46 pages
File Size : 42,6 Mb
Release : 2014-02-07
Category : Computers
ISBN : 9780738453583

Get Book

Performance and Capacity Implications for Big Data by Dave Jewell,Ricardo Dobelin Barros,Stefan Diederichs,Lydia M. Duijvestijn,Michael Hammersley,Arindam Hazra,Corneliu Holban,Yan Li,Osai Osaigbovo,Andreas Plach,Ivan Portilla,Mukerji Saptarshi,Harinder P. Seera,Elisabeth Stahl,Clea Zolotow,IBM Redbooks Pdf

Big data solutions enable us to change how we do business by exploiting previously unused sources of information in ways that were not possible just a few years ago. In IBM® Smarter Planet® terms, big data helps us to change the way that the world works. The purpose of this IBM RedpaperTM publication is to consider the performance and capacity implications of big data solutions, which must be taken into account for them to be viable. This paper describes the benefits that big data approaches can provide. We then cover performance and capacity considerations for creating big data solutions. We conclude with what this means for big data solutions, both now and in the future. Intended readers for this paper include decision-makers, consultants, and IT architects.

Author : Krish Krishnan
Publisher : Newnes
Page : 371 pages
File Size : 44,6 Mb
Release : 2013-05-02
Category : Computers
ISBN : 9780124059207

Get Book

Data Warehousing in the Age of Big Data by Krish Krishnan Pdf

Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse. Learn how to leverage Big Data by effectively integrating it into your data warehouse. Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

Author : Jason Arnold,IBM Redbooks
Publisher : IBM Redbooks
Page : 64 pages
File Size : 55,5 Mb
Release : 2011-07-27
Category : Computers
ISBN : 9780738450452

Get Book

Implementing IBM InfoSphere Change Data Capture for DB2 z/OS V6.5 by Jason Arnold,IBM Redbooks Pdf

IBM® InfoSphereTM Change Data Capture for z/OS® uses log-based change data capture technology to provide low impact capture and rapid delivery of changes to and from DB2® z/OS in heterogeneous environments without impacting source systems. Customers get the up-to-date information they need to make actionable, trusted business decisions while optimizing MIPS costs. Change Data Capture can also be used to synchronize data in real time between multiple data environments to support active data warehousing, live reporting, operational business intelligence, application consolidations and migrations, master data management, and to deliver data to SOA environments. This IBM RedpaperTM document describes InfoSphere Change Data Capture, how to install and configure it, and how to migrate to the latest release.

Author : Dino Quintero
Publisher : Unknown
Page : 128 pages
File Size : 53,5 Mb
Release : 2015
Category : Electronic
ISBN : OCLC:1137163018

Get Book

Implementing an IBM Infosphere BigInsights Cluster Using Linux on Power by Dino Quintero Pdf

Author : Alex Louwe Kooijmans,Willie Favero,Fabricio Pimentel,IBM Redbooks
Publisher : IBM Redbooks
Page : 60 pages
File Size : 47,8 Mb
Release : 2011-04-08
Category : Computers
ISBN : 9780738451275

Get Book

Using IBM System z As the Foundation for Your Information Management Architecture by Alex Louwe Kooijmans,Willie Favero,Fabricio Pimentel,IBM Redbooks Pdf

Many companies have built data warehouses (DWs) and have embraced business intelligence (BI) and analytics solutions. Even as companies have accumulated huge amounts of data, however, it remains difficult to provide trusted information at the right time and in the right place. The amount of data collected and available throughout the enterprise continues to grow even as the complexity and urgency of receiving meaningful information continues to increase. Producing meaningful and trusted information when it is needed can only be achieved by having a proper information architecture in place and a powerful underlying infrastructure. The amounts of data to mine, cleanse, and integrate are becoming so large that increasingly the infrastructure is becoming the bottleneck. This results in low refresh rates of the data in the data warehouse and in not having the information available in time where it is needed. And even before information can become available in a BI dashboard or a report, many preceding steps must take place: the collection of raw data; integration of data from multiple data stores, business units or geographies; transformation of data from one format to another; cubing data into data cubes; and finally, loading changes to data in the data warehouse. Combining the complexity of the information requirements, the growing amounts of data, and multiple layers of the information architecture requires an extremely powerful infrastructure. This IBM® RedguideTM publication explains how you can use IBM System z® as the foundation for your information management architecture. The System z value proposition for information management is fueled by the traditional strengths of the IBM mainframe, the specific strengths of DB2® for z/OS®, and the broad functionality of the IBM information management software portfolio. For decades, System z has proven its ability to manage vast amounts of mission-critical data for many companies throughout the world; your data is safe on System z. The available information management functionality on System z has grown from database management systems to a full stack of solutions including solutions for content management, master data management, information integration, data warehousing, and business intelligence and analytics. The availability of Linux® on System z provides an excellent opportunity to place certain components in an easy-to-manage and scalable virtualized Linux server, while benefitting from the System z hardware strengths. DB2 on z/OS can remain the operational data store and the underlying database for the data warehouse. The next generation of System z is growing into a heterogeneous architecture with which you can take advantage of System z-managed "accelerators" running on IBM System x® or IBM Power Blades. The first of these accelerators is the IBM Smart Analytics Optimizer for DB2 for z/OS V1.1, an "all-in-one" solution in which System z, z/OS, DB2 on z/OS, an IBM BladeCenter®, and IBM storage work together to accelerate certain queries by one to two orders of magnitude. With the IBM Smart Analytics Optimizer, slices of data are periodically offloaded from DB2 on z/OS to the BladeCenter. After a query is launched against that data, it will automatically run against the data kept on the BladeCenter. The BladeCenter will process the query an order of magnitude faster than DB2 on z/OS, because all data is cached in internal memory on the BladeCenter and special compression techniques are used to keep the data footprint small and efficient. As a solid information management architecture ready for the future, System z has it all.