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Client/server computing --- MDX (Computer program language) --- Relational databases
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More than 80 recipes for enriching your Business Intelligence solutions with high-performance MDX calculations and flexible MDX queries in this book and eBook
MDX (Computer program language) --- Business intelligence. --- SQL server.
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Understand Microsoft's dramatically updated new release of its premier toolset for business intelligence The first major update to Microsoft's state-of-the-art, complex toolset for business intelligence (BI) in years is now available and what better way to master it than with this detailed book from key members of the product's development team? If you're a database or data warehouse developer, this is the expert resource you need to build full-scale, multi-dimensional, database applications using Microsoft's new SQL Server 2012 Analysis Services and related tools. Discover how
Database management. --- MDX (Computer program language) --- OLAP technology. --- Relational databases. --- Client/server computing. --- SQL server.
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This book is written in a recipe-based style packed full of practical tips and techniques to help you analyse multidimensional data stored in SSAS 2012 cubes. If you need to master MDX queries in SSAS, then this book is for you!If you are a Microsoft SQL Server Analysis Services developer and want to improve your solutions using MDX, then this book is for you. This book is also an essential resource for report developers who need to access the multidimensional cubes through the MDX language. The book assumes you have some basic working knowledge of MDX and a basic understanding of dimensional
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Over 70 practical recipes to analyze multi-dimensional data in SQL Server 2016 Analysis Services cubes About This Book Updated for SQL Server 2016, this book helps you take advantage of the new MDX commands and the new features introduced in SSAS Perform time-related, context-aware, and business related-calculations with ease to enrich your Business Intelligence solutions Collection of techniques to write flexible and high performing MDX queries in SSAS with carefully structured examples Who This Book Is For This book is for anyone who has been involved in working with multidimensional data. If you are a multidimensional cube developer, a multidimensional database administrator, or a report developer who writes MDX queries to access multidimensional cube, this book will help you. If you are a power cube user or an experienced business analyst, you will also find this book invaluable in your data analysis. This book is for you are interested in doing more data analysis so that the management can make timely and accurate business decisions. What You Will Learn Grasp the fundamental MDX concepts, features, and techniques Work with sets Work with Time dimension and create time-aware calculations Make analytical reports compact, concise, and efficient Navigate cubes Master MDX for reporting with Reporting Services (new) Perform business analytics Design efficient cubes and efficient MDX queries Create metadata-driven calculations (new) Capture MDX queries and many other techniques In Detail If you're often faced with MDX challenges, this is a book for you. It will teach you how to solve various real-world business requirements using MDX queries and calculations. Examples in the book introduce an idea or a problem and then guide you through the process of implementing the solution in a step-by-step manner, inform you about the best practices and offer a deep knowledge in terms of how the solution works. Recipes are organized by chapters, each covering a single topic. They start slowly and logically progress to more advanced techniques. In case of complexity, things are broken down. Instead of one, there are series of recipes built one on top of another. This way you are able to see intermediate results and debug potential errors faster. Finally, the cookbook format is here to help you quickly identify the topic of interest and in it a wide range of practical solutions, that is – MDX recipes for your success. Style and approach This book is written i...
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OLAP (On-Line Analytical Processing) is the most powerful Business Intelligence tool currently available and Microsoft's Analysis Manager makes OLAP cubes incredibly easy to build and deploy. However the real power of OLAP lies in its ability to help you solve real-life business problems; to release that power you need to use the language that controls the cubes and allows them to be queried. That language is MDX (Multi Dimensional eXpressions). Fast Track to MDX gives you all the necessary background to let you to write useful, powerful MDX expressions and introduces the most frequently used MDX functions and constructs. No prior knowledge is assumed and examples are used throughout the book to rapidly develop your MDX skills to the point where you can solve real business problems. Mark Whitehorn, co-author of the best-selling Inside Relational Databases, is renowned for his knowledge of database systems and the lucidity of his writing. Robert Zare is a Program Manager for Analysis Services at Microsoft: his inspiring talks on MDX sowed the seeds from which this book grew. Mosha Pasumansky was one of the authors of the OLEDB for OLAP specification that defined the MDX language and later he was the developer in charge of the first implementation of MDX in the Microsoft OLAP Services 7.0 product. He is currently the development lead of the Analysis Services engine team. Second Edition – It was the clarity, precision and sheer readability of the first edition that made it a best-seller. With that firmly in mind the authors have left the original 18 chapters intact (apart from minor updates); meaning that the second edition remains the best introduction to MDX that is available. What they have done is to add three brand new chapters. These introduce the topic of recursion in MDX, walk the reader through the process of creating recursive expressions and finally demonstrate how recursion can be used to effectively solve a series of business problems. Forward by Amir Netz, Product Unit Manager, SQL Server – Analysis Services at Microsoft.
MDX (Computer program language) --- OLAP technology --- MDX (Langage de programmation) --- OLAP, Technologie --- MDX (Computer program language). --- Computer Science --- Engineering & Applied Sciences --- OLAP technology. --- EPUB-LIV-FT LIVINFOR SPRINGER-B --- Online Analytical Processing technology --- Multi Dimensional eXpressions (Computer program language) --- Computer science. --- Programming languages (Electronic computers). --- Database management. --- Computer Science. --- Programming Languages, Compilers, Interpreters. --- Database Management. --- Data mining --- Decision support systems --- Online data processing --- Multidimensional databases --- 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 --- Informatics --- Science --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial
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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
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