Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset is an introduction for
developers and architects anyone else interested in big data to using
the Apache Hadoop toolset. It includes a description of all tool capabilities
as well as in-depth instructions to build and test a working system.
BizTalk 2013 EDI for Healthcare – EDI 834Enrollment Solutions demonstrates how to build both inbound and outbound EDI 834 processes in BizTalk server that follow the required patterns for integrations with health exchanges. Archiving, mapping,reconstituting EDI 837 data, exception handling and advanced logging and reporting are all covered.
If you want to learn how to write stored procedures and triggers for Microsoft SQL Server, this is the book for you. You'll learn "real-world" coding and how to build non-trivial applications. All of the examples covered in the book are available for download, making it easier to work through over 5,000 lines of sample code.
In Cost-Based Oracle Fundamentals, the first book in a series of three, Jonathan Lewisone of the foremost authorities in this fielddescribes the most commonly used parts of the model, what the optimizer does with your statistics, and why things go wrong.
This book is not just another theoretical text about statistics or data mining. No, instead it is aimed for database administrators who want to use SQL or bolster their understanding of statistics to support data mining and customer relationship management analytics.
Data Modeling of Financial Derivatives: A Conceptual Approach introduces data modelers, financial analysts, and IT professionals to the fascinating world of financial derivatives. Covering futures, forwards, options, swaps, and forward rate agreements, the book shows how to structure and describe derivatives using advanced data modeling techniques.
In Date on Database: Writings 2000-2006, relational database pioneer C. J. Date tackles topics that are important to database professionals, including the difference between model and implementation, data integrity, data redundancy, deviations in SQL from the relational model, and much more.