The definitive guide to actually building your data warehouse... Utilizing recent technology, small companies can finally build a data warehouse at a very affordable cost, and keep the design (and the data!) in-house. Large companies can now build and maintain their data warehouses better than ever before: faster, cheaper, more secure, and more agile. In fact, in this hands-on guide we will show the step-by-step development of an actual data warehouse prototype, using free-trial tools. This is a practical hands-on guide, and we will stick to the relevant topics that are important to someone who actually wants to build a DW as soon as possible. We won't be pontificating on academic positions, nor fluffing up the word count. We assume that you are more anxious to roll up your sleeves and get started than to debate theory with purists. Yet at the same time, we will detail the necessary planning that you must conduct in order to maximize the success of your data warehouse program. Along the way, we will identify and avoid the common pitfalls that can lead to failure. By following this step-by-step guide, you can create a data warehouse for your company or organization. You will not need a large budget. You will not need expensive outside consultants. You will not need to share your data outside your company. You will not need specialized skills beyond those of a typical database programmer or database administrator. Yes, you can build a data warehouse: on a small budget, completely in-house, using only your current database employee(s). Martin Gandalson will show you how, step by step. This toolkit can be used to build any data warehouse, data mart, or webhouse.

Automated Data Warehousing Testing is a beginner's step by step guide for novice to intermediate level testers who want to try their hands at automated testing. It provides step by step instructions for setting up the Automation Framework from scratch. The framework is quite generic and as such can be applied to most data warehousing projects. This book concentrates on the 'practical side' of automated testing rather than the 'theoretical side'. It includes complete listings of the automated code for a sample data warehouse that is set up for testing. The code listings explain the logic for the individual tests and generic functions. The book covers: An overview of the data warehouse architecture and modelling. Set up the environment for automation. Software used is open source and freeware. Set up the Automation Framework from scratch and add important features to it like logging information to console and files. Set up the sample data warehouse for automation including the source systems and staging area. Automate the testing of staging area, dimension and fact tables. Automate the testing of CSV and Microsoft Excel data sources. Generate HTML reports of the test results. Automate Data Profiling tests.

Learn Business Intelligence Markup Language (Biml) for automating much of the repetitive, manual labor involved in data integration. We teach you how to build frameworks and use advanced Biml features to get more out of SQL Server Integration Services (SSIS), Transact-SQL (T-SQL), and SQL Server Analysis Services (SSAS) than you ever thought possible. The first part of the book starts with the basics—getting your development environment configured, Biml syntax, and scripting essentials. Whether a beginner or a seasoned Biml expert, the next part of the book guides you through the process of using Biml to build a framework that captures both your design patterns and execution management. Design patterns are reusable code blocks that standardize the approach you use to perform certain types of data integration, logging, and other key data functions. Design patterns solve common problems encountered when developing data integration solutions. Because you do not have to build the code from scratch each time, design patterns improve your efficiency as a Biml developer. In addition to leveraging design patterns in your framework, you will learn how to build a robust metadata store and how to package your framework into Biml bundles for deployment within your enterprise. In the last part of the book, we teach you more advanced Biml features and capabilities, such as SSAS development, T-SQL recipes, documentation autogeneration, and Biml troubleshooting. The Biml Book: Provides practical and applicable examples Teaches you how to use Biml to reduce development time while improving quality Takes you through solutions to common data integration and BI challenges What You'll Learn Master the basics of Business Intelligence Markup Language (Biml) Study patterns for automating SSIS package generation Build a Biml Framework Import and transform database schemas Automate generation of scripts and projects Who This Book Is For BI developers wishing to quickly locate previously tested solutions, Microsoft BI specialists, those seeking more information about solution automation and code generation, and practitioners of Data Integration Lifecycle Management (DILM) in the DevOps enterprise

The quality of a data warehouse (DWH) is the elusive aspect of it, not because it is hard to achieve [once we agree what it is], but because it is difficult to describe. We propose the notion that quality is not an attribute or a feature that a product has to possess, but rather a relationship between that product and each and every stakeholder. More specifically, the relationship between the software quality and the organization that produces the products is explored. Quality of data that populates the DWH is the main concern of the book, therefore we propose a definition for data quality as: fitness to serve each and every purpose. Methods are proposed throughout the book to help readers achieve data warehouse quality.

The warehouses of the future will come in a variety of forms, but with a few common ingredients. Firstly, human operational handling of items in warehouses is increasingly being replaced by automated item handling. Extended warehouse automation counteracts the scarcity of human operators and supports the quality of picking processes. Secondly, the development of models to simulate and analyse warehouse designs and their components facilitates the challenging task of developing warehouses that take into account each customer’s individual requirements and logistic processes. Automation in Warehouse Development addresses both types of automation from the innovative perspective of applied science. In particular, it describes the outcomes of the Falcon project, a joint endeavour by a consortium of industrial and academic partners. The results include a model-based approach to automate warehouse control design, analysis models for warehouse design, concepts for robotic item handling and computer vision, and autonomous transport in warehouses. Automation in Warehouse Development is targeted at both academic researchers and industrial practitioners. It provides state-of-the art research on warehouse automation and model-based warehouse design. These topics have been addressed from a systems engineering perspective by researchers from different disciplines including software, control, and mechanical engineering, with a clear focus on the industrial applications of their research.

Through expanded intelligence, the use of robotics has fundamentally transformed the business industry. Providing successful techniques in robotic design allows for increased autonomous mobility, which leads to a greater productivity and production level. Rapid Automation: Concepts, Methodologies, Tools, and Applications provides innovative insights into the state-of-the-art technologies in the design and development of robotics and their real-world applications in business processes. Highlighting a range of topics such as workflow automation tools, human-computer interaction, and swarm robotics, this multi-volume book is ideally designed for computer engineers, business managers, robotic developers, business and IT professionals, academicians, and researchers.

Does the data warehouse automation product have built-in intelligence to support data screens? What additional software products must be licensed in order to run the data warehouse automation software? Can the data warehouse automation product be integrated into an existing data warehouse? What is data warehouse automation? Does the data warehouse automation product support the detection of reserved words in identifier names? This powerful Data Warehouse Automation self-assessment will make you the entrusted Data Warehouse Automation domain expert by revealing just what you need to know to be fluent and ready for any Data Warehouse Automation challenge. How do I reduce the effort in the Data Warehouse Automation work to be done to get problems solved? How can I ensure that plans of action include every Data Warehouse Automation task and that every Data Warehouse Automation outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Warehouse Automation costs are low? How can I deliver tailored Data Warehouse Automation advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Warehouse Automation essentials are covered, from every angle: the Data Warehouse Automation self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Warehouse Automation outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Warehouse Automation practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Warehouse Automation are maximized with professional results. Your purchase includes access details to the Data Warehouse Automation self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Warehouse Automation Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.