By Brian Larson
Implement a powerful BI answer with Microsoft SQL Server 2012
Equip your company for trained, well timed selection making utilizing the professional information and most sensible practices during this sensible consultant. Delivering company Intelligence with Microsoft SQL Server 2012, 3rd Edition explains find out how to successfully advance, customise, and distribute significant info to clients enterprise-wide. methods to construct information marts and create BI Semantic versions, paintings with the MDX and DAX languages, and percentage insights utilizing Microsoft buyer instruments. info mining and forecasting also are lined during this entire resource.
- Understand the ambitions and elements of profitable BI
- Design, installation, and deal with facts marts and OLAP cubes
- Load and cleanse information with SQL Server Integration prone
- Manipulate and examine info utilizing MDX and DAX scripts and queries
- Work with SQL Server research providers and the BI Semantic version
- Author interactive studies utilizing SQL Server information instruments
- Create KPIs and electronic dashboards
- Use facts mining to spot styles, correlations, and clusters
- Implement time-based analytics
- Embed BI reviews in customized functions utilizing ADOMD.NET
Read Online or Download Delivering Business Intelligence with Microsoft SQL Server 2012 PDF
Similar data mining books
Data Mining in Agriculture represents a entire attempt to supply graduate scholars and researchers with an analytical textual content on information mining concepts utilized to agriculture and environmental similar fields. This e-book provides either theoretical and functional insights with a spotlight on offering the context of every info mining strategy relatively intuitively with considerable concrete examples represented graphically and with algorithms written in MATLAB®.
This publication includes priceless reports in info mining from either foundational and functional views. The foundational stories of knowledge mining will help to put a high-quality starting place for information mining as a systematic self-discipline, whereas the sensible reviews of knowledge mining could lead to new info mining paradigms and algorithms.
This booklet constitutes the refereed complaints of the seventeenth foreign convention on information Warehousing and data Discovery, DaWaK 2015, held in Valencia, Spain, September 2015. The 31 revised complete papers offered have been rigorously reviewed and chosen from ninety submissions. The papers are equipped in topical sections similarity degree and clustering; info mining; social computing; heterogeneos networks and knowledge; facts warehouses; movement processing; functions of massive information research; and large information.
This ebook is dedicated to the modeling and knowing of complicated city structures. This moment quantity of knowing complicated city structures specializes in the demanding situations of the modeling instruments, referring to, e. g. , the standard and volume of knowledge and the choice of an acceptable modeling process. it's intended to help city decision-makers—including municipal politicians, spatial planners, and citizen groups—in making a choice on a suitable modeling technique for his or her specific modeling requisites.
- Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning
- Machine Learning: A Probabilistic Perspective (4th Printing) (Adaptive Computation and Machine Learning)
- Information Security Theory and Practice: 9th IFIP WG 11.2 International Conference, WISTP 2015, Heraklion, Crete, Greece, August 24-25, 2015. Proceedings
- Guide to DataFlow Supercomputing: Basic Concepts, Case Studies, and a Detailed Example
Additional resources for Delivering Business Intelligence with Microsoft SQL Server 2012
At any rate, this is not what we are going to focus on in this book. The bulk of business intelligence for most organizations comes from something they already have: their transactional data. Transactional Data Most organizations need to keep track of the things they do to conduct their business. Orders taken, products produced, services rendered, payments received from clients, and payments made to vendors are all interactions that usually result in one or more entries in some type of data store.
Finally, we become acquainted with Maximum Miniatures, Incorporated, the sample company we use throughout the remainder of the book. To make the business intelligence features of SQL Server 2012 easier to understand, we perform several hands-on exercises to create business intelligence solutions. Rather than looking at code snippets without any business context, we use the business needs of Maximum Miniatures. The goal of this book is not to enable you to use this or that feature of SQL Server 2012, but to help you understand how to use these features to meet business needs.
I need to thank a number of people for their assistance, professionalism, dedication, and support. So, a ginormous thank you… To Wendy Rinaldi, who allowed me to lean on her as part editor, part coach, part literary agent, and part psychoanalyst. Her professionalism, humor, understanding, and faith truly made this project possible. To Dan English and Paul Purington, co-workers who make Superior Consulting Services a fun, exciting place to work. Their technical expertise, constructive feedback, and tireless work were vital to the success of this and other SQL Server 2012 projects.