ibm-cognos-tm1-the-official-guide

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Ibm Cognos Tm1 The Official Guide

Author : Karsten Oehler
ISBN : 9780071765695
Genre : Computers
File Size : 22. 24 MB
Format : PDF, Kindle
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Explains how to create and manage performance management solutions using IBM Cognos TM1, covering such topics as planning, forecasting, and scenario analytic solutions.

Ibm Cognos Tm1 Developer S Certification Guide

Author : James D. Miller
ISBN : 9781849684910
Genre : Computers
File Size : 54. 99 MB
Format : PDF, Mobi
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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 Tm1 Developers Certification Guide

Author : James D. Miller
ISBN : 9781849684903
Genre : Computers
File Size : 25. 9 MB
Format : PDF, ePub
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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!

Learning Qlik R Sense The Official Guide

Author : Christopher Ilacqua
ISBN : 9781782173366
Genre : Computers
File Size : 36. 53 MB
Format : PDF, Mobi
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Learning Qlik® Sense is for anyone seeking to understand and utilize the revolutionary new approach to business intelligence offered by Qlik Sense. Familiarity with the basics of business intelligence will be helpful when picking up this book, but not essential.

Ibm Cognos Business Intelligence V10 1 Handbook

Author : Dean Browne
ISBN : 9780738434810
Genre : Computers
File Size : 67. 44 MB
Format : PDF, ePub, Docs
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IBM® Cognos® Business Intelligence (BI) helps organizations meet strategic objectives and provides real value for the business by delivering the information everyone needs while also reducing the burden on IT. This IBM Redbooks® publication addresses IBM Cognos Business Intelligence V10.1. You can use this book to: - Understand core features of IBM Cognos BI V10.1 - Realize the full potential of IBM Cognos BI - Learn by example with practical scenarios This book uses a fictional business scenario to demonstrate the power of IBM Cognos BI. The book is primarily focused on the roles of Advanced Business User, Professional Report Author, Modeler, Administrator, and IT Architect.

Mdx Cube Reporting Guide For Microstrategy 9 3

Author : MicroStrategy Product Manuals
ISBN : 9781936804962
Genre : Computers
File Size : 76. 91 MB
Format : PDF, Docs
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Ibm Cognos Tm1 Cookbook

Author : Ankit Garg
ISBN : 9781849682114
Genre : Computers
File Size : 38. 27 MB
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Annotation IBM Cognos TM1 is one of the most popular multidimensional analysis tools used to build collaborative planning, budgeting and forecasting solutions, as well as analytical and reporting applications. This cube-based technology does fast number crunching at the server end and helps end customers move away from manual and tedious planning, budgeting, and analytics processes.IBM Cognos TM1 Cookbook is a complete manual to building and managing applications with IBM Cognos TM1.Every important aspect of TM1 is covered with the help of practical recipes, which will make you well acquainted with the tool and you will be ready to take on TM1 projects in the real world. Existing TM1 users and developers will also benefit from the practical recipes covered in the book.The book will start with a chapter focusing on fundamentals of MOLAP and dimensional modeling, which forms the foundation on which IBM Cognos TM1 is based. Thereafter chapters will be more TM1-specific, starting with an introduction on dimensions and cubes and how to create and manage them. Further chapters will dig deeper into TM1 objects and rules.Then we will learn the more advanced features of TM1 such as automating common processes using scripts, customizing drill paths, using rules for advanced modeling, converting currencies, modeling for different fiscal requirements, and more.At the end of the book, we will cover how to present data and reports, workflows, and TM1 application security.

Learning Ibm Watson Analytics

Author : James D Miller
ISBN : 9781785882807
Genre : Computers
File Size : 20. 22 MB
Format : PDF, ePub, Docs
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Make the most advanced predictive analytical processes easy using Watson Analytics with this easy-to-follow practical guide About This Book This is the first and the only book on IBM Watson Analytics, and it shows you how to leverage Watson in an enterprise environment through rich use cases Incorporate Watson Analytics into your business strategy and confidently add this cutting edge expertise to your resume This book is written by James D Miller, IBM-certified expert and accomplished Director and Sr. Project Leader Who This Book Is For If you want to perform data discovery and analysis and make sense of data you have, this book for you. Data scientists can also use this book to explore a new way to perform data analysis tasks on cloud with ease. This book does not require a programming background. What You Will Learn Study the language of Watson while you discover how easy it is to access and configure Review what a Watson use case is, why it's important, and how to identify one Design Watson Analytical solutions based upon your use cases Understand the basic concepts behind the content analysis cycle and where Watson fits in Explore all the features of Watson, such as Explore, Predict, and Assemble Customize and extend your Watson solutions Use Watson at the Enterprise level Integrate Watson with other toolsets In Detail Today, only a small portion of businesses actually use a real analytical tool as part of routine decision making. IBM Watson Analytics is changing that making the most advanced and predictive analytical techniques understandable and usable for any industry. This book will be the vital tour guide for your trip, starting with what IBM Watson Analytics is. We'll start off with introduction to Watson Analytics and then quickly move on to various use cases under which one can use the different analytics functionalities offered by Watson. During the course of the book, you will learn how to design solutions, and customize and extend Watson analytics. We will conclude by taking Watson Analytics to enterprise and integrating it with other solutions (other IBM solutions and analytics). Now is the time for you to learn IBM Watson to compete in the world. Style and approach Watson provides individuals with the ability to perform sophisticated data discovery and analysis without all of the complexity that usually goes along with it. This book will get you started with Watson analytics and how you can use it in day-to-day data analysis. The book introduces the key concepts and terminology and then uses practical use case examples to reinforce your understanding.

Ibm Cognos Insight

Author : Sanjeev Datta
ISBN : 184968846X
Genre : Computers
File Size : 34. 52 MB
Format : PDF, Kindle
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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.

Tibco Spotfire A Comprehensive Primer

Author : Michael Phillips
ISBN : 9781782176411
Genre : Computers
File Size : 73. 81 MB
Format : PDF, Kindle
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If you are a business user or data professional, this book will give you a solid grounding in the use of TIBCO Spotfire. This book assumes no prior knowledge of Spotfire or even basic data and visualization concepts.

Implementing Splunk

Author : Vincent Bumgarner
ISBN : 9781784399306
Genre : Computers
File Size : 46. 26 MB
Format : PDF, Mobi
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Splunk is a type of analysis and reporting software for analyzing machine-generated Big Data. It captures, indexes, and correlates real-time data in a searchable repository from which it can generate graphs, reports, alerts, dashboards, and visualizations. It aims to make machine data accessible across an organization for a variety of purposes. Implementing Splunk Second Edition is a learning guide that introduces you to all the latest features and improvements of Splunk 6.2. The book starts by introducing you to various concepts such as charting, reporting, clustering, and visualization. Every chapter is dedicated to enhancing your knowledge of a specific concept, including data models and pivots, speeding up your queries, backfilling, data replication, and so on. By the end of the book, you'll have a very good understanding of Splunk and be able to perform efficient data analysis.

Big Data Visualization

Author : James D. Miller
ISBN : 9781785284168
Genre : Computers
File Size : 76. 52 MB
Format : PDF, ePub, Docs
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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.

Kali Linux

Author : Lee Allen
ISBN : 184951948X
Genre : Computers
File Size : 70. 96 MB
Format : PDF, ePub
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Written as an interactive tutorial, this book covers the core of Kali Linux with realworld examples and stepbystep instructions to provide professional guidelines and recommendations for you. The book is designed in a simple and intuitive manner that allows you to explore the whole Kali Linux testing process or study parts of it individually.If you are an IT security professional who has a basic knowledge of Unix/Linux operating systems, including an awareness of information security factors, and want to use Kali Linux for penetration testing, then this book is for you.

Statistics For Data Science

Author : James D. Miller
ISBN : 9781788295345
Genre : Computers
File Size : 41. 33 MB
Format : PDF, Kindle
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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

Mastering Splunk

Author : James Miller
ISBN : 9781782173847
Genre : Computers
File Size : 75. 5 MB
Format : PDF, Kindle
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This book is for those Splunk developers who want to learn advanced strategies to deal with big data from an enterprise architectural perspective. You need to have good working knowledge of Splunk.

Performing Information Governance

Author : Anthony David Giordano
ISBN : 9780133385632
Genre : Business & Economics
File Size : 88. 69 MB
Format : PDF
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Make Information Governance Work : Best Practices, Step-by-Step Tasks, and Detailed Deliverables Most enterprises recognize the crucial importance of effective information governance. However, few are satisfied with the value of their efforts to date. Information governance is difficult because it is a pervasive function, touching multiple processes, systems, and stakeholders. Fortunately, there are best practices that work. Now, a leading expert in the field offers a complete, step-by-step guide to successfully governing information in your organization. Using case studies and hands-on activities, Anthony Giordano fully illuminates the “who, what, how, and when” of information governance. He explains how core governance components link with other enterprise information management disciplines, and provides workable “job descriptions” for each project participant. Giordano helps you successfully integrate key data stewardship processes as you develop large-scale applications and Master Data Management (MDM) environments. Then, once you’ve deployed an information asset, he shows how to consistently get reliable regulatory and financial information from it. Performing Information Governance will be indispensable to CIOs and Chief Data Officers…data quality, metadata, and MDM specialists…anyone responsible for making information governance work. Coverage Includes Recognizing the hidden development and operational implications of information governance—and why it needs to be integrated in the broader organization Integrating information governance activities with transactional processing, BI, MDM, and other enterprise information management functions Establishing the information governance organization: defining roles, launching projects, and integrating with ongoing operations Performing information governance in transactional projects, including those using agile methods and COTS products Bringing stronger information governance to MDM: strategy, architecture, development, and beyond Governing information throughout your BI or Big Data project lifecycle Effectively performing ongoing information governance and data stewardship operational processes Auditing and enforcing data quality management in the context of enterprise information management Maintaining and evolving metadata management for maximum business value

Implementing Splunk 7 Third Edition

Author : James D. Miller
ISBN : 9781788830508
Genre : Computers
File Size : 36. 5 MB
Format : PDF, ePub, Docs
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A comprehensive guide to making machine data accessible across the organization using advanced dashboards Key Features Enrich machine-generated data and transform it into useful, meaningful insights Perform search operations and configurations, build dashboards, and manage logs Extend Splunk services with scripts and advanced configurations to process optimal results Book Description Splunk is the leading platform that fosters an efficient methodology and delivers ways to search, monitor, and analyze growing amounts of big data. This book will allow you to implement new services and utilize them to quickly and efficiently process machine-generated big data. We introduce you to all the new features, improvements, and offerings of Splunk 7. We cover the new modules of Splunk: Splunk Cloud and the Machine Learning Toolkit to ease data usage. Furthermore, you will learn to use search terms effectively with Boolean and grouping operators. You will learn not only how to modify your search to make your searches fast but also how to use wildcards efficiently. Later you will learn how to use stats to aggregate values, a chart to turn data, and a time chart to show values over time; you'll also work with fields and chart enhancements and learn how to create a data model with faster data model acceleration. Once this is done, you will learn about XML Dashboards, working with apps, building advanced dashboards, configuring and extending Splunk, advanced deployments, and more. Finally, we teach you how to use the Machine Learning Toolkit and best practices and tips to help you implement Splunk services effectively and efficiently. By the end of this book, you will have learned about the Splunk software as a whole and implemented Splunk services in your tasks at projects What you will learn Focus on the new features of the latest version of Splunk Enterprise 7 Master the new offerings in Splunk: Splunk Cloud and the Machine Learning Toolkit Create efficient and effective searches within the organization Master the use of Splunk tables, charts, and graph enhancements Use Splunk data models and pivots with faster data model acceleration Master all aspects of Splunk XML dashboards with hands-on applications Create and deploy advanced Splunk dashboards to share valuable business insights with peers Who this book is for This book is intended for data analysts, business analysts, and IT administrators who want to make the best use of big data, operational intelligence, log management, and monitoring within their organization. Some knowledge of Splunk services will help you get the most out of the book

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