Download or read book Ibm Cognos Tm1 Developer s Certification Guide written by James D. Miller and published by Packt Publishing Ltd. This book was released on 2012-01-01 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!

Download or read book IBM Cognos Tm1 Developers Certification Guide written by James D. Miller and published by Packt Publishing, Limited. This book was released on 2012 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!

Download or read book IBM Cognos Business Intelligence 10 1 Dashboarding Cookbook written by Ankit Garg and published by Packt Publishing Ltd. This book was released on 2012-07-20 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create custom dashboards and share using IBM Cognos BI 10.1

Download or read book Statistics for Data Science written by James D. Miller and published by Packt Publishing Ltd. This book was released on 2017-11-17 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Implementing Splunk written by Vincent Bumgarner and published by Packt Publishing Ltd. This book was released on 2015-07-28 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Big Data Visualization written by James D. Miller and published by Packt Publishing Ltd. This book was released on 2017-02-28 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Mastering Splunk written by James Miller and published by Packt Publishing Ltd. This book was released on 2014-12-17 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Mastering Predictive Analytics with R written by James D. Miller and published by Packt Publishing Ltd. This book was released on 2017-08-18 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the craft of predictive modeling in R by developing strategy, intuition, and a solid foundation in essential concepts About This Book Grasping the major methods of predictive modeling and moving beyond black box thinking to a deeper level of understanding Leveraging the flexibility and modularity of R to experiment with a range of different techniques and data types Packed with practical advice and tips explaining important concepts and best practices to help you understand quickly and easily Who This Book Is For Although budding data scientists, predictive modelers, or quantitative analysts with only basic exposure to R and statistics will find this book to be useful, the experienced data scientist professional wishing to attain master level status , will also find this book extremely valuable.. This book assumes familiarity with the fundamentals of R, such as the main data types, simple functions, and how to move data around. Although no prior experience with machine learning or predictive modeling is required, there are some advanced topics provided that will require more than novice exposure. What You Will Learn Master the steps involved in the predictive modeling process Grow your expertise in using R and its diverse range of packages Learn how to classify predictive models and distinguish which models are suitable for a particular problem Understand steps for tidying data and improving the performing metrics Recognize the assumptions, strengths, and weaknesses of a predictive model Understand how and why each predictive model works in R Select appropriate metrics to assess the performance of different types of predictive model Explore word embedding and recurrent neural networks in R Train models in R that can work on very large datasets In Detail R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. The book begins with a dedicated chapter on the language of models and the predictive modeling process. You will understand the learning curve and the process of tidying data. Each subsequent chapter tackles a particular type of model, such as neural networks, and focuses on the three important questions of how the model works, how to use R to train it, and how to measure and assess its performance using real-world datasets. How do you train models that can handle really large datasets? This book will also show you just that. Finally, you will tackle the really important topic of deep learning by implementing applications on word embedding and recurrent neural networks. By the end of this book, you will have explored and tested the most popular modeling techniques in use on real- world datasets and mastered a diverse range of techniques in predictive analytics using R. Style and approach This book takes a step-by-step approach in explaining the intermediate to advanced concepts in predictive analytics. Every concept is explained in depth, supplemented with practical examples applicable in a real-world setting.

Download or read book Mastering Non Functional Requirements written by Sameer Paradkar and published by Packt Publishing Ltd. This book was released on 2017-05-18 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the most critical 24 NFRs that are applicable to IT applications and systems. About This Book Explains three stages of nonfunctional requirements, that is, analysis, architecture, and assessment In-depth knowledge of NFR framework and taxonomy that provides guidance around the modelling phase for the NFRs Coverage of 24 critical and pivotal NFRs, including the analysis, architecture, and assessment. Who This Book Is For The primary audience for this title are the gamut of roles starting from IT consultant to chief architects who are responsible to deliver strategic, tactical, and operational engagements for fortune 100 customers worldwide. Nonfunctional requirements are the key to any software / IT program. They cannot be overlooked or ignored. The book provides a comprehensive approach from analysis, architecture, and measurement of nonfunctional requirements. The book includes considerations for bespoke (Java, .Net, and COTS applications). These are applicable to IT applications from various domains. The book outlines the methodology for capturing the NFRs and also describes a framework that can be leveraged by analysts and architects for tackling NFRs for various engagements. The audience for this book include business analysts, enterprise architects, business architects, solution architects, technical architects/designers, domain/security/integration architects, software developers, support engineers and test engineers, technical project managers, project leads/technical leads/technical project managers, and students from the computer science/IT stream What You Will Learn Learn techniques related to the analysis, architecture, and monitoring of NFRs Understand the various tools, techniques, and processes in order to improve the overall quality of the desired outcomes Embrace the best practices of architecting, metrics, and success factors for NFRs Identify the common pitfalls to be avoided and the patterns to leverage Understand taxonomy and framework for NFRs Learn the design guidelines for architecting applications and systems relating to NFRs Abstract different methodologies to analyze and gather NFRs In Detail Non-functional Requirements are key to any software/IT program and cannot be overlooked or ignored. This book provides a comprehensive approach to the analysis, architecture, and measurement of NFRs. It includes considerations for bespoke Java, .NET, and COTS applications that are applicable to IT applications/systems in different domains. The book outlines the methodology for capturing the NFRs and also describes a framework that can be leveraged by analysts and architects for tackling NFRs for various engagements. This book starts off by explaining the various KPIs, taxonomies, and methods for identifying NFRs. Learn the design guidelines for architecting applications and systems relating to NFRs and design principles to achieve the desired outcome. We will then move on to various key tiers/layers and patterns pertaining to the business, database, and integrating tiers. After this, we will dive deep into the topics pertaining to techniques related to monitoring and measurement of NFRs, such as sizing, analytical modeling, and quality assurance. Lastly, we end the book by describing some pivotal NFRs and checklists for the software quality attributes related to the business, application, data, and infrastructure domains. Style and approach The book takes a pragmatic approach, describing various techniques related to the analysis of NFRs, the architecture of NFRs, and assessment of NFRs.

Download or read book IBM Cognos Business Intelligence written by Dustin Adkison and published by Packt Publishing Ltd. This book was released on 2013-05-07 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written as a practical guide, this book will show you how to manage your reporting environment using IBM Cognos 10 and make the most out of BI tools within your business - taking a hands-on approach to stimulate learning and develop your understanding, If you are an IBM Cognos or Business Intelligence developer or consultant, have a basic knowledge of Cognos 10 BI and a good level of understanding of Cognos 8 then this book is for you

Download or read book Cracking the IT Architect Interview written by Sameer Paradkar and published by Packt Publishing Ltd. This book was released on 2016-11-30 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ultimate guide to successful interviews for Enterprise, Business, Domain, Solution, and Technical Architect roles as well as IT Advisory Consultant and Software Designer roles About This Book Learn about Enterprise Architects IT strategy and NFR – this book provides you with methodologies, best practices, and frameworks to ace your interview A holistic view of key architectural skills and competencies with 500+ questions that cover 12 domains 100+ diagrams depicting scenarios, models, and methodologies designed to help you prepare for your interview Who This Book Is For This book is for aspiring enterprise, business, domain, solution, and technical architects. It is also ideal for IT advisory consultants and IT designers who wish to interview for such a role. Interviewers will be able leverage this book to make sure they hire candidates with the right competencies to meet the role requirements. What You Will Learn Learn about IT strategies, NFR, methodologies, best practices, and frameworks to ace your interview Get a holistic view of key concepts, design principles, and patterns related to evangelizing web and Java enterprise applications Discover interview preparation guidelines through case studies Use this as a reference guide for adopting best practices, standards, and design guidelines Get a better understanding with 60+ diagrams depicting various scenarios, models, and methodologies Benefit from coverage of all architecture domains including EA (Business, Data, Infrastructure, and Application), SA, integration, NFRs, security, and SOA, with extended coverage from IT strategies to the NFR domain In Detail An architect attends multiple interviews for jobs or projects during the course of his or her career. This book is an interview resource created for designers, consultants, technical, solution, domain, enterprise, and chief architects to help them perform well in interview discussions and launch a successful career. The book begins by providing descriptions of architecture skills and competencies that cover the 12 key domains, including 350+ questions relating to these domains. The goal of this book is to cover all the core architectural domains. From an architect's perspective, it is impossible to revise or learn about all these key areas without a good reference guide – this book is the solution. It shares experiences, learning, insights, and proven methodologies that will benefit practitioners, SMEs, and aspirants in the long run. This book will help you tackle the NFR domain, which is a key aspect pertaining to architecting applications. It typically takes years to understand the core concepts, fundamentals, patterns, and principles related to architecture and designs. This book is a goldmine for the typical questions asked during an interview and will help prepare you for success! Style and approach This book will help you prepare for interviews for architectural profiles by providing likely questions, explanations, and expected answers. It is an insight-rich guide that will help you develop strategic, tactical, and operational thinking for your interview.

Download or read book DIY TI Do It Yourself TI Processes for IBM TM1 and PA written by Robert J Cregan and published by . This book was released on 2020-01-19 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a guide to writing TI code for TM1 and Planning Analytics. You'll learn how to write Turbo Integrator processes that will automate tasks like loading data to your cubes, and building dimensions, hierarchies, views and subsets. See how to use variables, parameters, and functions, and programming structures like loops and IF statements.

Download or read book TIBCO Spotfire A Comprehensive Primer written by Michael Phillips and published by Packt Publishing Ltd. This book was released on 2015-02-19 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book IBM Cognos TM1 The Official Guide written by Karsten Oehler and published by McGraw Hill Professional. This book was released on 2012-03-14 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book IBM Cognos Business Intelligence V10 1 Handbook written by Dean Browne and published by IBM Redbooks. This book was released on 2010-10-25 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book IBM Cognos Dynamic Query written by Nigel Campbell and published by IBM Redbooks. This book was released on 2013-09-12 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book IBM Cognos Dynamic Cubes written by Dmitriy Beryoza and published by IBM Redbooks. This book was released on 2015-07-31 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.