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Microsoft Data Mining approaches data mining from the particular perspective of IT professionals using Microsoft data management technologies. The author explains the new data mining capabilities in Microsoft's SQL Server 2000 database, Commerce Server, and other products, details the Microsoft OLE DB for Data Mining standard, and gives readers best practices for using all of them. The book bridges the previously specialized field of data mining with the new technologies and methods that are quickly making it an important mainstream tool for companies of all sizes.Data mining refers t

Data mining. --- OLE (Computer file) --- SQL server. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Microsoft SQL server --- Database searching --- Data mining --- E-books

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Microsoft Dynamics AX 2012 R3 Reporting Cookbook is recommended for Dynamics AX developers and .NET-based SSRS developers looking to familiarize themselves with the new AX reporting framework.

Business logistics --- Management information systems. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Data processing. --- Communication systems --- Microsoft Axapta. --- Axapta --- Enterprise resource planning --- Management information systems --- Enterprise resource planning systems --- ERP (Enterprise resource planning) --- ERPs (Enterprise resource planning) --- Microsoft Dynamics AX. --- SQL server. --- Microsoft SQL server --- Dynamics AX --- E-books

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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.

Client/server computing. --- Computer networks -- Security measures. --- SQL server. --- Web servers. --- Engineering & Applied Sciences --- Computer Science --- Microsoft SQL server --- Business intelligence --- Data mining --- Database management --- MDX (Computer program language) --- Multi Dimensional eXpressions (Computer program language) --- Query languages (Computer science) --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Business espionage --- Competitive intelligence --- Corporate intelligence --- Economic espionage --- Espionage, Business --- Espionage, Economic --- Espionage, Industrial --- Industrial espionage --- Intelligence, Business --- Intelligence, Corporate --- Business ethics --- Competition, Unfair --- Industrial management --- Confidential business information --- E-books