Ibm Cognos Tm1 The Official Guide

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IBM Cognos TM1 The Official Guide

Author : Karsten Oehler,Jochen Gruenes,Christopher Ilacqua
Publisher : McGraw Hill Professional
Page : 802 pages
File Size : 54,8 Mb
Release : 2012-03-14
Category : Computers
ISBN : 9780071765695

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IBM Cognos TM1 The Official Guide by Karsten Oehler,Jochen Gruenes,Christopher Ilacqua Pdf

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.The only official guide to IBM Cognos TM1 Deliver timely, accurate, and actionable performance management solutions to users across your enterprise. Filled with expert advice from a team of IBM professionals, IBM Cognos TM1: The Official Guide shows you how to deploy and maintain a dynamic planning, forecasting, and scenario analytic solution. Learn the latest Cognos TM1 10.1 best practices on how to model Cognos TM1 cubes, develop highly agile performance management solutions, generate feature-rich reports, and employ dashboards and scorecards. Securing, sizing, and performance tuning are also covered in this IBM-authorized resource. This book can also be used with former TM1 versions. Build Cognos TM1 models with cubes, dimensions, rules, and TurboIntegrator processes Load data and establish workflow using the TurboIntegrator Model and analyze multidimensional business processes Develop applications using Excel and Cognos TM1 Web Manage high user volumes with scaling and concurrency Assign and enforce roles, privileges, and permissions Deliver custom reports to end users through dashboards Use KPIs and balanced scorecards to monitor performance From the Authors Why We Wrote This Book It is not surprising that in 25 years, best practices and fantastic ideas of how to use Cognos TM1 have evolved. For many business problems, excellent solutions already exist. We participated in this development process and learned from experienced people. But knowledge about Cognos has been like a patchwork. Only a few sites and communities exist, and most experience has been gained by intuition and trial and error. Every novice has to go the hard way and build solid knowledge from various more or less trustworthy sources. It often takes years to become an expert. We have felt this ourselves: to train our colleagues in the secrets of Cognos TM1 takes time and effort. Our intention is to increase the speed of the diffusion of Cognos TM1 into the business world. For this, of course, marketing is necessary, but good and comprehensive knowledge is more important. So we want to provide everything that is necessary to work with Cognos TM1 effectively, or at least what we think is necessary to work with it. The obvious question is: why hasn’t there been a book about Cognos TM1 before now? Perhaps Cognos TM1 has been a tool for insiders. You definitely need critical mass for a book project. However, with Cognos TM1 becoming part of the IBM software family, the time is right: the first comprehensive book is now available. Who This Book Is For Who should read this book? Everybody who is interested in increasing their company’s performance can profit from it. External and internal consultants in particular will find a broad range of solutions. Do you already work with Cognos TM1? Do you want to improve your existing applications? You can find lots of practical tips and tricks for projects and your daily work in this book. If you are a consultant, you can find ideas to improve your service offerings. Are you an implementer or a so-called end user? Although we provide concrete implementation advice, our conceptual proposals help users to understand better what is possible with Cognos TM1. This facilitates the communication between the user and the developers. Perhaps you plan to use Cognos TM1, or are you simply interested in the core concepts of Cognos TM1? You can see what is possible with a modern multidimensional solution. This Book Will Help You... Why should you read this book? We are convinced that you will find what you are searching

IBM Cognos Tm1 Cookbook

Author : Ankit Garg
Publisher : Packt Pub Limited
Page : 490 pages
File Size : 55,6 Mb
Release : 2011
Category : Computers
ISBN : 1849682100

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IBM Cognos Tm1 Cookbook by Ankit Garg Pdf

Each recipe comprises step-by-step instructions followed by an analysis of what was done in each task and other useful information. It is packed with useful screenshots to make your learning even easier. The book emphasizes on a learn-by-example approach so as to maximize learning. The book is intended for prospective TM1 developers or analysts who want to successfully build and manage a complete planning, budgeting and forecasting solution with IBM Cognos TM1. No previous knowledge of TM1 is expected. Existing TM1 users and developers will also benefit from the practical recipes covered in the book.

Ibm Cognos Tm1 Developer's Certification Guide

Author : James D. Miller
Publisher : Packt Publishing Ltd
Page : 334 pages
File Size : 45,7 Mb
Release : 2012-01-01
Category : Computers
ISBN : 9781849684910

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Ibm Cognos Tm1 Developer's Certification Guide by James D. Miller Pdf

This book is packed with real word examples. Each major certification topic is covered in a separate chapter, which helps to make understanding of concepts easier. At the end of each chapter, you will find a variety of practice questions to strengthen and test your learning. If you are a beginner to intermediate level Cognos TM1 developer looking to add an important IBM certification to your resume but don't know where to start, this book is for you!

IBM Cognos Dynamic Query

Author : Nigel Campbell,Henk Cazemier,Robert Hatfield,Martin Petitclerc,Glen Seeds,Jason Tavoularis,IBM Redbooks
Publisher : IBM Redbooks
Page : 124 pages
File Size : 46,6 Mb
Release : 2013-09-12
Category : Computers
ISBN : 9780738438726

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IBM Cognos Dynamic Query by Nigel Campbell,Henk Cazemier,Robert Hatfield,Martin Petitclerc,Glen Seeds,Jason Tavoularis,IBM Redbooks Pdf

This IBM® Redbooks® publication explains how IBM Cognos® Business Intelligence (BI) administrators, authors, modelers, and power users can use the dynamic query layer effectively. It provides guidance for determining which technology within the dynamic query layer can best satisfy your business requirements. Administrators can learn how to tune the query service effectively and preferred practices for managing their business intelligence content. This book includes information about metadata modeling of relational data sources with IBM Cognos Framework Manager. It includes considerations that can help you author high-performing applications that satisfy analytical requirements of users. This book provides guidance for troubleshooting issues related to the dynamic query layer of Cognos BI. Related documents: Solution Guide : Big Data Analytics with IBM Cognos BI Dynamic Query Blog post : IBM Cognos Dynamic Query Extensibility

IBM Cognos 10 Report Studio

Author : Filip Draskovic,Roger Johnson
Publisher : IBM Press
Page : 316 pages
File Size : 54,6 Mb
Release : 2012
Category : Computers
ISBN : 9780132656757

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IBM Cognos 10 Report Studio by Filip Draskovic,Roger Johnson Pdf

IBM Cognos 10 is the next generation of the leading performance management, analysis, and reporting standard for mid- to large-sized companies. One of the most exciting and useful aspects of IBM Cognos software is its powerful custom report creation capabilities. After learning the basics, report authors in the enterprise need to apply the technology to reports in their actual, complex work environment. This book provides that advanced know how. Using practical examples based on years of teaching experiences as IBM Cognos instructors, the authors provide you with examples of typical advanced reporting designs and complex queries in reports. The reporting solutions in this book can be directly used in a variety of real-world scenarios to provide answers to your business problems today. The complexity of the queries and the application of design principles go well beyond basic course content or introductory books. IBM Cognos 10 Report Studio: Practical Examples will help you find the answers to specific questions based on your data and your business model. It will use a combination tutorial and cookbook approach to show real-world IBM Cognos 10 Report Studio solutions. If you are still using IBM Cognos 8 BI Report Studio, many of the examples have been tested against this platform as well. The final chapter has been dedicated to showing those features that are unique to the latest version of this powerful reporting solution.

IBM Cognos Dynamic Cubes

Author : Dmitriy Beryoza,MaryAlice Campbell,Cesar Cardorelle,Tod Creasey,David Cushing,Vlaunir Da Silva,Sean David,Avery Hagleitner,Ian Henderson,Daniel Howell,Igor Kozine,Paul Prieto,Paul Thompson,Jose Vazquez,Ying Zhang,IBM Redbooks
Publisher : IBM Redbooks
Page : 584 pages
File Size : 55,9 Mb
Release : 2015-07-31
Category : Computers
ISBN : 9780738440835

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IBM Cognos Dynamic Cubes by Dmitriy Beryoza,MaryAlice Campbell,Cesar Cardorelle,Tod Creasey,David Cushing,Vlaunir Da Silva,Sean David,Avery Hagleitner,Ian Henderson,Daniel Howell,Igor Kozine,Paul Prieto,Paul Thompson,Jose Vazquez,Ying Zhang,IBM Redbooks Pdf

IBM® Cognos® Business Intelligence (BI) provides a proven enterprise BI platform with an open data strategy. Cognos BI provides customers with the ability to use data from any source, package it into a business model, and make it available to consumers in various interfaces that are tailored to the task. IBM Cognos Dynamic Cubes complements the existing Cognos BI capabilities and continues the tradition of an open data model. It focuses on extending the scalability of the IBM Cognos platform to enable speed-of-thought analytics over terabytes of enterprise data, without having to invest in a new data warehouse appliance. This capability adds a new level of query intelligence so you can unleash the power of your enterprise data warehouse. This IBM Redbooks® publication addresses IBM Cognos Business Intelligence V10.2.2 and specifically, the IBM Cognos Dynamic Cubes capabilities. This book can help you in the following ways: Understand core features of the Cognos Dynamic Cubes capabilities of Cognos BI V10.2 Learn by example with practical scenarios by using the IBM Cognos samples This book uses fictional business scenarios to demonstrate the power and capabilities of IBM Cognos Dynamic Cubes. It primarily focuses on the roles of the modeler, administrator, and IT architect.

IBM Cognos Insight

Author : Sanjeev Datta
Publisher : Packt Publishing Ltd
Page : 0 pages
File Size : 51,6 Mb
Release : 2012
Category : Business
ISBN : 184968846X

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IBM Cognos Insight by Sanjeev Datta Pdf

This book takes a practical tutorial approach to teaching users the features of Cognos Insight. New and existing users of Cognos Insight who are looking to gain more knowledge about the product and Business Analytics in general.

Successful Business Intelligence: Secrets to Making BI a Killer App

Author : Cindi Howson
Publisher : McGraw Hill Professional
Page : 258 pages
File Size : 47,9 Mb
Release : 2007-12-17
Category : Computers
ISBN : 9780071596145

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Successful Business Intelligence: Secrets to Making BI a Killer App by Cindi Howson Pdf

Praise for Successful Business Intelligence "If you want to be an analytical competitor, you've got to go well beyond business intelligence technology. Cindi Howson has wrapped up the needed advice on technology, organization, strategy, and even culture in a neat package. It's required reading for quantitatively oriented strategists and the technologists who support them." --Thomas H. Davenport, President's Distinguished Professor, Babson College and co-author, Competing on Analytics "When used strategically, business intelligence can help companies transform their organization to be more agile, more competitive, and more profitable. Successful Business Intelligence offers valuable guidance for companies looking to embark upon their first BI project as well as those hoping to maximize their current deployments." --John Schwarz, CEO, Business Objects "A thoughtful, clearly written, and carefully researched examination of all facets of business intelligence that your organization needs to know to run its business more intelligently and exploit information to its fullest extent." --Wayne Eckerson, Director, TDWI Research "Using real-world examples, Cindi Howson shows you how to use business intelligence to improve the performance, and the quality, of your company." --Bill Baker, Distinguished Engineer & GM, Business Intelligence Applications, Microsoft Corporation "This book outlines the key steps to make BI an integral part of your company's culture and demonstrates how your company can use BI as a competitive differentiator." --Robert VanHees, CFO, Corporate Express "Given the trend to expand the business analytics user base, organizations are faced with a number of challenges that affect the success rate of these projects. This insightful book provides practical advice on improving that success rate." --Dan Vesset, Vice President, Business Analytics Solution Research, IDC

Optimization and Decision Support Design Guide: Using IBM ILOG Optimization Decision Manager

Author : Axel Buecker,Yana Ageeva,Veronique Blanchard,Dr. Jeremy Bloom,Dr. Mehmet F. Candas,Joao Chaves,Guang Feng,Abhishek Raman,Dr. Hans Schlenker,IBM Redbooks
Publisher : IBM Redbooks
Page : 368 pages
File Size : 55,7 Mb
Release : 2012-10-10
Category : Computers
ISBN : 9780738437361

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Optimization and Decision Support Design Guide: Using IBM ILOG Optimization Decision Manager by Axel Buecker,Yana Ageeva,Veronique Blanchard,Dr. Jeremy Bloom,Dr. Mehmet F. Candas,Joao Chaves,Guang Feng,Abhishek Raman,Dr. Hans Schlenker,IBM Redbooks Pdf

Today many organizations face challenges when developing a realistic plan or schedule that provides the best possible balance between customer service and revenue goals. Optimization technology has long been used to find the best solutions to complex planning and scheduling problems. A decision-support environment that enables the flexible exploration of all the trade-offs and sensitivities needs to provide the following capabilities: Flexibility to develop and compare realistic planning and scheduling scenarios Quality sensitivity analysis and explanations Collaborative planning and scenario sharing Decision recommendations This IBM® Redbooks® publication introduces you to the IBM ILOG® Optimization Decision Manager (ODM) Enterprise. This decision-support application provides the capabilities you need to take full advantage of optimization technology. Applications built with IBM ILOG ODM Enterprise can help users create, compare, and understand planning or scheduling scenarios. They can also adjust any of the model inputs or goals, and fully understanding the binding constraints, trade-offs, sensitivities, and business options. This book enables business analysts, architects, and administrators to design and use their own operational decision management solution.

Statistics for Data Science

Author : James D. Miller
Publisher : Packt Publishing Ltd
Page : 279 pages
File Size : 44,8 Mb
Release : 2017-11-17
Category : Computers
ISBN : 9781788295345

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Statistics for Data Science by James D. Miller Pdf

Get your statistics basics right before diving into the world of data science About This Book No need to take a degree in statistics, read this book and get a strong statistics base for data science and real-world programs; Implement statistics in data science tasks such as data cleaning, mining, and analysis Learn all about probability, statistics, numerical computations, and more with the help of R programs Who This Book Is For This book is intended for those developers who are willing to enter the field of data science and are looking for concise information of statistics with the help of insightful programs and simple explanation. Some basic hands on R will be useful. What You Will Learn Analyze the transition from a data developer to a data scientist mindset Get acquainted with the R programs and the logic used for statistical computations Understand mathematical concepts such as variance, standard deviation, probability, matrix calculations, and more Learn to implement statistics in data science tasks such as data cleaning, mining, and analysis Learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks Get comfortable with performing various statistical computations for data science programmatically In Detail Data science is an ever-evolving field, which is growing in popularity at an exponential rate. Data science includes techniques and theories extracted from the fields of statistics; computer science, and, most importantly, machine learning, databases, data visualization, and so on. This book takes you through an entire journey of statistics, from knowing very little to becoming comfortable in using various statistical methods for data science tasks. It starts off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for statistical computation are clearly explained along with logic. You will come across various mathematical concepts, such as variance, standard deviation, probability, matrix calculations, and more. You will learn only what is required to implement statistics in data science tasks such as data cleaning, mining, and analysis. You will learn the statistical techniques required to perform tasks such as linear regression, regularization, model assessment, boosting, SVMs, and working with neural networks. By the end of the book, you will be comfortable with performing various statistical computations for data science programmatically. Style and approach Step by step comprehensive guide with real world examples

Big Data Visualization

Author : James D. Miller
Publisher : Packt Publishing Ltd
Page : 299 pages
File Size : 48,8 Mb
Release : 2017-02-28
Category : Computers
ISBN : 9781785284168

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Big Data Visualization by James D. Miller Pdf

Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About This Book This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelf Improve your decision-making by visualizing your big data the right way Who This Book Is For This book is for data analysts or those with a basic knowledge of big data analysis who want to learn big data visualization in order to make their analysis more useful. You need sufficient knowledge of big data platform tools such as Hadoop and also some experience with programming languages such as R. This book will be great for those who are familiar with conventional data visualizations and now want to widen their horizon by exploring big data visualizations. What You Will Learn Understand how basic analytics is affected by big data Deep dive into effective and efficient ways of visualizing big data Get to know various approaches (using various technologies) to address the challenges of visualizing big data Comprehend the concepts and models used to visualize big data Know how to visualize big data in real time and for different use cases Understand how to integrate popular dashboard visualization tools such as Splunk and Tableau Get to know the value and process of integrating visual big data with BI tools such as Tableau Make sense of the visualization options for big data, based upon the best suited visualization techniques for big data In Detail When it comes to big data, regular data visualization tools with basic features become insufficient. This book covers the concepts and models used to visualize big data, with a focus on efficient visualizations. This book works around big data visualizations and the challenges around visualizing big data and address characteristic challenges of visualizing like speed in accessing, understanding/adding context to, improving the quality of the data, displaying results, outliers, and so on. We focus on the most popular libraries to execute the tasks of big data visualization and explore "big data oriented" tools such as Hadoop and Tableau. We will show you how data changes with different variables and for different use cases with step-through topics such as: importing data to something like Hadoop, basic analytics. The choice of visualizations depends on the most suited techniques for big data, and we will show you the various options for big data visualizations based upon industry-proven techniques. You will then learn how to integrate popular visualization tools with graphing databases to see how huge amounts of certain data. Finally, you will find out how to display the integration of visual big data with BI using Cognos BI. Style and approach With the help of insightful real-world use cases, we'll tackle data in the world of big data. The scalability and hugeness of the data makes big data visualizations different from normal data visualizations, and this book addresses all the difficulties encountered by professionals while visualizing their big data.

Building Big Data and Analytics Solutions in the Cloud

Author : Wei-Dong Zhu,Manav Gupta,Ven Kumar,Sujatha Perepa,Arvind Sathi,Craig Statchuk,IBM Redbooks
Publisher : IBM Redbooks
Page : 101 pages
File Size : 47,6 Mb
Release : 2014-12-08
Category : Computers
ISBN : 9780738453996

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Building Big Data and Analytics Solutions in the Cloud by Wei-Dong Zhu,Manav Gupta,Ven Kumar,Sujatha Perepa,Arvind Sathi,Craig Statchuk,IBM Redbooks Pdf

Big data is currently one of the most critical emerging technologies. Organizations around the world are looking to exploit the explosive growth of data to unlock previously hidden insights in the hope of creating new revenue streams, gaining operational efficiencies, and obtaining greater understanding of customer needs. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about examining data to derive interesting and relevant trends and patterns, which can be used to inform decisions, optimize processes, and even drive new business models. With today's deluge of data comes the problems of processing that data, obtaining the correct skills to manage and analyze that data, and establishing rules to govern the data's use and distribution. The big data technology stack is ever growing and sometimes confusing, even more so when we add the complexities of setting up big data environments with large up-front investments. Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles. Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and self-sufficient. A solution architecture that can allow these mutually exclusive principles to coexist is required to truly exploit the elasticity and ease-of-use of cloud computing for big data environments. This IBM® RedpaperTM publication is aimed at chief architects, line-of-business executives, and CIOs to provide an understanding of the cloud-related challenges they face and give prescriptive guidance for how to realize the benefits of big data solutions quickly and cost-effectively.

IBM Software for SAP Solutions

Author : Yaro Dunchych,Peter Bahrs,Khirallah Birkler,Bernd Eberhardt,Navneet Goyal,James Hunter,Derek Jennings,Joe Kaczmarek,Michel Laaroussi,Michael Love,Stefan Momma,Nick Norris,Martin Oberhofer,Manfred Oevers,Paul Pacholski,Andrew Stalnecker,Jörg Stolzenberg,Pierre Valiquette,IBM Redbooks
Publisher : IBM Redbooks
Page : 352 pages
File Size : 50,7 Mb
Release : 2015-09-29
Category : Computers
ISBN : 9780738441047

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IBM Software for SAP Solutions by Yaro Dunchych,Peter Bahrs,Khirallah Birkler,Bernd Eberhardt,Navneet Goyal,James Hunter,Derek Jennings,Joe Kaczmarek,Michel Laaroussi,Michael Love,Stefan Momma,Nick Norris,Martin Oberhofer,Manfred Oevers,Paul Pacholski,Andrew Stalnecker,Jörg Stolzenberg,Pierre Valiquette,IBM Redbooks Pdf

SAP is a market leader in enterprise business application software. SAP solutions provide a rich set of composable application modules, and configurable functional capabilities that are expected from a comprehensive enterprise business application software suite. In most cases, companies that adopt SAP software remain heterogeneous enterprises running both SAP and non-SAP systems to support their business processes. Regardless of the specific scenario, in heterogeneous enterprises most SAP implementations must be integrated with a variety of non-SAP enterprise systems: Portals Messaging infrastructure Business process management (BPM) tools Enterprise Content Management (ECM) methods and tools Business analytics (BA) and business intelligence (BI) technologies Security Systems of record Systems of engagement The tooling included with SAP software addresses many needs for creating SAP-centric environments. However, the classic approach to implementing SAP functionality generally leaves the business with a rigid solution that is difficult and expensive to change and enhance. When SAP software is used in a large, heterogeneous enterprise environment, SAP clients face the dilemma of selecting the correct set of tools and platforms to implement SAP functionality, and to integrate the SAP solutions with non-SAP systems. This IBM® Redbooks® publication explains the value of integrating IBM software with SAP solutions. It describes how to enhance and extend pre-built capabilities in SAP software with best-in-class IBM enterprise software, enabling clients to maximize return on investment (ROI) in their SAP investment and achieve a balanced enterprise architecture approach. This book describes IBM Reference Architecture for SAP, a prescriptive blueprint for using IBM software in SAP solutions. The reference architecture is focused on defining the use of IBM software with SAP, and is not intended to address the internal aspects of SAP components. The chapters of this book provide a specific reference architecture for many of the architectural domains that are each important for a large enterprise to establish common strategy, efficiency, and balance. The majority of the most important architectural domain topics, such as integration, process optimization, master data management, mobile access, Enterprise Content Management, business intelligence, DevOps, security, systems monitoring, and so on, are covered in the book. However, there are several other architectural domains which are not included in the book. This is not to imply that these other architectural domains are not important or are less important, or that IBM does not offer a solution to address them. It is only reflective of time constraints, available resources, and the complexity of assembling a book on an extremely broad topic. Although more content could have been added, the authors feel confident that the scope of architectural material that has been included should provide organizations with a fantastic head start in defining their own enterprise reference architecture for many of the important architectural domains, and it is hoped that this book provides great value to those reading it. This IBM Redbooks publication is targeted to the following audiences: Client decision makers and solution architects leading enterprise transformation projects and wanting to gain further insight so that they can benefit from the integration of IBM software in large-scale SAP projects. IT architects and consultants integrating IBM technology with SAP solutions.

IBM Data Engine for Hadoop and Spark

Author : Dino Quintero,Luis Bolinches,Aditya Gandakusuma Sutandyo,Nicolas Joly,Reinaldo Tetsuo Katahira,IBM Redbooks
Publisher : IBM Redbooks
Page : 126 pages
File Size : 42,8 Mb
Release : 2016-08-24
Category : Computers
ISBN : 9780738441931

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IBM Data Engine for Hadoop and Spark by Dino Quintero,Luis Bolinches,Aditya Gandakusuma Sutandyo,Nicolas Joly,Reinaldo Tetsuo Katahira,IBM Redbooks Pdf

This IBM® Redbooks® publication provides topics to help the technical community take advantage of the resilience, scalability, and performance of the IBM Power SystemsTM platform to implement or integrate an IBM Data Engine for Hadoop and Spark solution for analytics solutions to access, manage, and analyze data sets to improve business outcomes. This book documents topics to demonstrate and take advantage of the analytics strengths of the IBM POWER8® platform, the IBM analytics software portfolio, and selected third-party tools to help solve customer's data analytic workload requirements. This book describes how to plan, prepare, install, integrate, manage, and show how to use the IBM Data Engine for Hadoop and Spark solution to run analytic workloads on IBM POWER8. In addition, this publication delivers documentation to complement available IBM analytics solutions to help your data analytic needs. This publication strengthens the position of IBM analytics and big data solutions with a well-defined and documented deployment model within an IBM POWER8 virtualized environment so that customers have a planned foundation for security, scaling, capacity, resilience, and optimization for analytics workloads. This book is targeted at technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering analytics solutions and support on IBM Power Systems.

Budgeting Basics and Beyond

Author : Jae K. Shim,Joel G. Siegel
Publisher : John Wiley & Sons
Page : 450 pages
File Size : 44,9 Mb
Release : 2008-12-03
Category : Business & Economics
ISBN : 9780470454350

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Budgeting Basics and Beyond by Jae K. Shim,Joel G. Siegel Pdf

If the very thought of budgets pushes your sanity over the limit, then this practical, easy-to-use guide is just what you need. Budgeting Basics and Beyond, Third Edition equips you with an all-in-one resource guaranteed to make the budgeting process easier, less stressful, and more effective. Written by Jae Shim and Joel Siegel, the new edition covers Balanced Scorecard, budgeting for nonprofit organizations, business simulations for executive and management training, and much more!