Virtualized Business Intelligence With Infosphere Warehouse
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| Author | : Adriana Carvajal |
| Publisher | : IBM Redbooks |
| Total Pages | : 246 |
| Release | : 2012-10-05 |
| Genre | : Computers |
| ISBN | : 0738437417 |
With the benefit of advanced analytics such as online analytical processing (OLAP), data mining, and text analytics, the IBM® InfoSphere® Warehouse Enterprise Edition brings sophisticated business intelligence (BI) to warehouse users. InfoSphere Warehouse allows you to run extreme concurrent query volumes that can help answer questions for all types of business users, while consistently meeting service level requirements. Combined with a virtualization platform and a solid BI solution, such as IBM Cognos®, you can deliver BI cloud services with improved flexibility and speed to your clients, thereby presenting a new avenue for which your services can be offered. This IBM Redbooks® publication discusses the deployment of a BI cloud solution. It includes details such as understanding the architecture of a cloud, planning implementation, integrating various software components, and understanding the preferred practices of running a cloud deployment. Essentially, this book can be used as a guide by anyone who is interested in deploying a virtualized environment for a BI cloud solution.
| Author | : Chuck Ballard |
| Publisher | : IBM Redbooks |
| Total Pages | : 636 |
| Release | : 2010-06-22 |
| Genre | : Computers |
| ISBN | : 0738434329 |
In this IBM® Redbooks® publication we describe and demonstrate Version 9.7 of IBM InfoSphereTM Warehouse. InfoSphere Warehouse is a comprehensive platform with all the functionality required for developing robust infrastructure for business intelligence solutions. It enables companies to access and analyze operational and historical information, whether structured or unstructured, to gain business insight for improved decision making. InfoSphere Warehouse solutions simplify the processes of developing and maintaining a data warehousing infrastructure and can significantly enhance the time to value for business analytics. The InfoSphere Warehouse platform provides a fully integrated environment built around IBM DB2® 9.7 server technology on Linux®, UNIX® and Microsoft® Windows® platforms, as well as System z®. Common user interfaces support application development, data modeling and mapping, SQL transformation, online application processing (OLAP) and data mining functionality from virtually all types of information. Composed of a component-based architecture, it extends the DB2 data warehouse with design-side tooling and runtime infrastructure for OLAP, data mining, inLine analytics and intra-warehouse data movement and transformation, on a common platform.
| Author | : Whei-Jen Chen |
| Publisher | : IBM Redbooks |
| Total Pages | : 506 |
| Release | : 2012-10-02 |
| Genre | : Computers |
| ISBN | : 0738437255 |
IBM® InfoSphere® Warehouse is the IBM flagship data warehouse platform for departmental data marts and enterprise data warehouses. It offers leading architecture, performance, backup, and recovery tools that help improve efficiency and reduce time to market through increased understanding of current data assets, while simplifying the daily operations of managing complex warehouse deployments. InfoSphere Warehouse Advanced Enterprise Edition delivers an enhanced set of database performance, management, and design tools. These tools assist companies in maintaining and increasing value from their warehouses, while helping to reduce the total cost of maintaining these complex environments. In this IBM Redbooks® publication we explain how you can build a business intelligence system with InfoSphere Warehouse Advanced Enterprise to manage and support daily business operations for an enterprise, to generate more income with lower cost. We describe the foundation of the business analytics, the Data Warehouse features and functions, and the solutions that can deliver immediate analytics solutions and help you drive better business outcomes. We show you how to use the advanced analytics of InfoSphere Warehouse Advanced Enterprise Edition and integrated tools for data modeling, mining, text analytics, and identifying and meeting the data latency requirements. We describe how the performance and storage optimization features can make building and managing a large data warehouse more affordable, and how they can help significantly reduce the cost of ownership. We also cover data lifecycle management and the key features of IBM Cognos® Business Intelligence. This book is intended for data warehouse professionals who are interested in gaining in-depth knowledge about the operational business intelligence solution for a data warehouse that the IBM InfoSphere Warehouse Advanced Enterprise Edition offers.
| Author | : Mayank Yuvaraj |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 207 |
| Release | : 2020-10-12 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 3110606011 |
Cloud computing is a model where computing resources (processors, storage, software) are offered as a utility from an indistinct location and boundaries to the user. Adoption of Cloud computing in recent years has gained momentum within various avenues round the globe due to its characteristics like elasticity, virtualization and pay-as-you-go pricing. In tune with the trend various companies have evolved which are offering web applications. These companies provide the system required to host the application to users on lease which saves them from purchasing. The book combines both theoretical and practical perspectives of cloud computing with a slant towards library and information centres. The book describes in detail about various companies which are providing cloud computing solutions and infrastructure for library and information centres. Intiatives of OCLC and best practices adopted in other libraries around the world has been discussed at length. Many avenues of the implementation of cloud computing has been identified in the present study. Various initiatives of the library professionals to move their internet sites, their integrated library system for cataloguing and acquisition, Cloud based library apps, Cloud based Stack Map and their repository systems and inter library loan systems to the cloud has been mentioned. The book further proposes a model which may serve as a blueprint for implementation of cloud computing technologies in libraries. With the timely publication of book, library and information service practitioners after going through the book can outsource the task of maintaining the computer infrastructure and focus on their mission to serve people with right information at right point of time.
| Author | : |
| Publisher | : |
| Total Pages | : 228 |
| Release | : 2012 |
| Genre | : Data warehousing |
| ISBN | : |
| Author | : Rick van der Lans |
| Publisher | : Elsevier |
| Total Pages | : 297 |
| Release | : 2012-07-25 |
| Genre | : Business & Economics |
| ISBN | : 0123944252 |
Annotation In this book, Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects.
| Author | : Raj, Pethuru |
| Publisher | : IGI Global |
| Total Pages | : 592 |
| Release | : 2014-03-31 |
| Genre | : Computers |
| ISBN | : 1466658657 |
Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.
| Author | : G. Kousalya |
| Publisher | : Springer |
| Total Pages | : 238 |
| Release | : 2017-05-25 |
| Genre | : Computers |
| ISBN | : 3319569821 |
This timely text/reference presents a comprehensive review of the workflow scheduling algorithms and approaches that are rapidly becoming essential for a range of software applications, due to their ability to efficiently leverage diverse and distributed cloud resources. Particular emphasis is placed on how workflow-based automation in software-defined cloud centers and hybrid IT systems can significantly enhance resource utilization and optimize energy efficiency. Topics and features: describes dynamic workflow and task scheduling techniques that work across multiple (on-premise and off-premise) clouds; presents simulation-based case studies, and details of real-time test bed-based implementations; offers analyses and comparisons of a broad selection of static and dynamic workflow algorithms; examines the considerations for the main parameters in projects limited by budget and time constraints; covers workflow management systems, workflow modeling and simulation techniques, and machine learning approaches for predictive workflow analytics. This must-read work provides invaluable practical insights from three subject matter experts in the cloud paradigm, which will empower IT practitioners and industry professionals in their daily assignments. Researchers and students interested in next-generation software-defined cloud environments will also greatly benefit from the material in the book.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 2523 |
| Release | : 2016-04-20 |
| Genre | : Computers |
| ISBN | : 1466698411 |
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.
| Author | : LindaMay Patterson |
| Publisher | : IBM Redbooks |
| Total Pages | : 204 |
| Release | : 2010-07-12 |
| Genre | : Computers |
| ISBN | : 0738450073 |
The IBM® Midmarket Software Buying and Selling Guide is tailored specifically to help the management and IT staff of small and midsized businesses evaluate how the IBM midmarket portfolio can provide simple and cost-effective solutions to common business problems. Along with a midmarket customer focus, this IBM RedpaperTM publication is designed to help IBM teams and Business Partners be more effective in serving small and midsized businesses. We illustrate how IBM software for the midmarket can help businesses use the Web to reduce expenses, improve customer service, and expand into new markets. We cover the IBM software offering for the midmarket, which includes what the software does, the platforms it runs on, where to find more information, and how it can help your business become more profitable: - IBM Business Partners often keep a printed copy of this guide in their briefcases for software references - Customers can view this guide online and look up software-value messages and IBM product family offering comparisons - IBM Sales Representatives can print parts of this guide as "leave-behinds" for customers, to give them extra collateral on midmarket software of interest To make sure that you have the latest version of this guide, download it from this web address: http://www.redbooks.ibm.com/abstracts/redp3975.html?Open
