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Proven strategies for implementing the right data warehouse and business intelligence solutions for current and future business needs

This guide is an ideal learning tool and reference for Apache Pig, the programming language that helps you describe and run large data projects on Hadoop. With Pig, you can analyze data without having to create a full-fledged application - making it easy for you to experiment with new data sets. This book shows you how.

Since the first edition of "Data Warehousing Fundamentals," there has been an increase in enterprises either already having or in the process of obtaining the data warehousing programs. "Data Warehousing Fundamentals" not only explores important topics, like planning requirements, architecture, infrastructure, data preparation, and information delivery, but also the most up-to-date research on are...

Featuring 300 ready-to-use, downloadable queries, this solutions-oriented guide explains how to extract actionable business intelligence and increase effective decision-making by maximizing the power of MDX queries.

In an increasingly digital economy, mastering the quality of data is an increasingly vital yet still, in most organizations, a considerable task. The necessity of better governance and reinforcement of international rules and regulatory or oversight structures (Sarbanes Oxley, Basel II, Solvency II, IAS-IFRS, etc.

This comprehensive revision of the premier resource on master data management (MDM) provides a common framework for the understanding and implementation of MDM initiatives.

The first book to apply the modern principles of software engineering to building data warehouses

Presents guidelines for designing dimensional models through the use of real-world data warehouse. This work also draws case studies a variety of business application areas and industries. It also covers the original set of Lifecycle methods and techniques. It explains steps of designing, developing, and deploying a data warehousing system.

Data Warehousing Design and Advanced Engineering Applications: Methods for Complex Construction covers the process of analyzing data to extract, transform, load, and manage the essential components of a data warehousing system.

Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design presents up-to-date techniques for addressing data management problems with logic and memory use.

Practical and informal, this manual clearly defines Master Data Management (MDM), a set of processes and tools that consistently define and manage the nontransactional data entities of an organization. Demonstrating how to implement MDM and how to make it complement other IT solutions, this handbook proves that MDM is a fascinating and up-and-coming approach that allows organizations to run custom...

Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications provides a comprehensive analysis of current issues and trends in retrieval expansion.

A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998.