Bioinformatics: Managing Scientific Data (Multimedia Information and Systems) Bioinformatics can refer to almost any collaborative effort between biologists or geneticists and computer scientists and thus covers a wide variety of traditional computer science domains, including data modeling, data retrieval, data mining, data integration, data managing, data warehousing, data cleaning, ontologies, simulation, parallel... Building Data Science Teams
Starting in 2008, Jeff Hammerbacher (@hackingdata) and I sat down to share
our experiences building the data and analytics groups at Facebook and LinkedIn.
In many ways, that meeting was the start of data science as a distinct
professional specialization (see “What Makes a Data Scientist?”
on page 11 for the story on... Data Modeling Fundamentals: A Practical Guide for IT Professionals The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model...
The Profit Impact of Business Intelligence Business Intelligence (BI): Its not just a technology. Its not just a methodology. Its a powerful new management approach that when done right can deliver knowledge, efficiency, better decisions, and profit to almost any organization that uses it.
When BI first came on the scene, it promised a lot but often failed to deliver. The...
Business Information Warehouse for SAP (Prima Tech's SAP Book Series) Gain an understanding of what it takes to implement SAP BW. Follow along as the author explains the evolution of SAP BW architecture and its components. This book describes the roots of SAP BW and how it has evolved from a simple operational reporting environment to a full-featured information warehouse. Profit from a description of the...
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