1.
par
Gard, Ankit.
Numéro de rayon préféré
658.4038011 23
Date de publication
2012
Résumé
Create custom dashboards and share using IBM Cognos BI 10.1.
Format :
Ressources électroniques
Pertinence:
4.7370
par
García, Miguel.
Numéro de rayon préféré
005.758
Date de publication
2012
Résumé
It will be a step-by-step tutorial that will discuss best practices. The book is structured in such a way that it can be read both from start to end or can be dipped into. If you are a developer who is looking to learn a fast and easy way to learn to develop your business intelligence apps with QlikView, then this book is for you. If you are a power-user in a QlikView environment, then you will find quicker ways of working with QlikView. You should know the basics of business intelligence before you pick up this book. This book covers QlikView Desktop Personal Edition. Deployments to QlikView.
Format :
Ressources électroniques
Pertinence:
4.6430
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par
Riaz, Ned.
Numéro de rayon préféré
658.4038011 22
Date de publication
2009
Format :
Ressources électroniques
Pertinence:
4.5449
par
Heaton, John.
Numéro de rayon préféré
658.4038011 23
Date de publication
2012
Résumé
Over 80 quick and advanced recipes that focus on real world techniques and solutions to manage, design, and build data warehouse and business intelligence projects with this book and ebook.
Format :
Ressources électroniques
Pertinence:
4.4930
par
Kleine, Hendrik, author.
Numéro de rayon préféré
001.4226 23
Date de publication
2021
Résumé
Explore common and not-so-common data transformation scenarios and solutions to become well-versed with Tableau Prep and create efficient and powerful data pipelines Key Features Combine, clean, and shape data for analysis using self-service data preparation techniques Become proficient with Tableau Prep for building and managing data flows across your organization Learn how to combine multiple data transformations in order to build a robust dataset Book DescriptionTableau Prep is a tool in the Tableau software suite, created specifically to develop data pipelines. This book will describe, in detail, a variety of scenarios that you can apply in your environment for developing, publishing, and maintaining complex Extract, Transform and Load (ETL) data pipelines. The book starts by showing you how to set up Tableau Prep Builder. You’ll learn how to obtain data from various data sources, including files, databases, and Tableau Extracts. Next, the book demonstrates how to perform data cleaning and data aggregation in Tableau Prep Builder. You’ll also gain an understanding of Tableau Prep Builder and how you can leverage it to create data pipelines that prepare your data for downstream analytics processes, including reporting and dashboard creation in Tableau. As part of a Tableau Prep flow, you’ll also explore how to use R and Python to implement data science components inside a data pipeline. In the final chapter, you’ll apply the knowledge you’ve gained to build two use cases from scratch, including a data flow for a retail store to prepare a robust dataset using multiple disparate sources and a data flow for a call center to perform ad hoc data analysis. By the end of this book, you’ll be able to create, run, and publish Tableau Prep flows and implement solutions to common problems in data pipelines. What you will learn Perform data cleaning and preparation techniques for advanced data analysis Understand how to combine multiple disparate datasets Prepare data for different Business Intelligence (BI) tools Apply Tableau Prep’s calculation language to create powerful calculations Use Tableau Prep for ad hoc data analysis and data science flows Deploy Tableau Prep flows to Tableau Server and Tableau Online Who this book is for This book is for business intelligence professionals, data analysts, and Tableau users looking to learn Tableau Prep essentials and create data pipelines or ETL processes using it. Beginner-level knowledge of data management will be beneficial to understand the concepts covered in this Tableau cookbook more effectively.
Format :
Ressources électroniques
Pertinence:
0.2873
par
Du, Gordon.
Numéro de rayon préféré
005.756 23
Date de publication
2011
Format :
Ressources électroniques
Pertinence:
0.2411
par
Ward, John.
Numéro de rayon préféré
658.472 22
Date de publication
2010
Résumé
Annotation BIRT is an Eclipse-based open source reporting system for web applications based on Java and Java EE. To address a wide range of reporting needs within a typical application, ranging from operational or enterprise reporting to multi-dimensional online analytical processing (OLAP), you need to know BIRT from head to toe. If you wish to start making reports easily and quickly, and also want to be up-to-date with the latest developments in BIRT, then this book is for you. It will guide you from scratch to develop reports using the Eclipse BIRT project. You will learn how to connect to data, use report items to display and format data, and use scripting to build advanced reports and charts.<br /><br />The book steers you through each step of report setup, to creating, designing, formatting, and deploying reports with data from a wide range of data sources. Its focus is on familiarizing you with the most visible and familiar product built with the BIRT framework _ the BIRT Report Designer. It starts by introducing the concepts of business intelligence and open source software, and different installation methods. It will introduce you to the various visual report elements that can be used to design BIRT reports, such as the Palette and Grid components. You will learn the details of the data components of BIRT (the Data Source and the Data Set), different types of source data that BIRT supports such as XML files, flat text files, and databases, and the creation of all of the elements while connecting to Data Sources in reports and Report Projects. By the end of the book, you will be able to enhance the presentation of your report using Charts, Hyperlinks, and Drill Through. You will also be able to take advantage of the scripting capabilities that BIRT has to offer with Expressions and Event Handlers and successfully deploy BIRT reports.<br /><br />The book includes a case study at the end along with a real-world example that runs throughout the book.<br /><br />Learn to develop reports quickly using BIRT 2.5.
Format :
Ressources électroniques
Pertinence:
0.2357
par
Dewald, Baya.
Numéro de rayon préféré
005.7585 23
Date de publication
2013
Résumé
A practical cookbook packed with recipes to help developers produce data cubes as quickly as possible by following step by step instructions, rather than explaining data mining concepts with SSAS. If you are a BI or ETL developer using SQL Server Analysis services to build OLAP cubes, this book is ideal for you. Prior knowledge of relational databases and experience with Excel as well as SQL development is required.
Format :
Ressources électroniques
Pertinence:
0.2212
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