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TDWI -The Data Warehousing Institute

TDWI -The Data Warehousing Institute

Exhibitors: Gartner Business Intelligence Summit 2012 | BI and Performance Management Trade Show For today's organizations, it's all about getting to the relevant data quicker and driving strategic decisions faster. But with big data, sometimes it’s easier said than done. Good thing SAS® Business Intelligence gives you the information you need, when you need it. While other vendors provide business intelligence solely in the form of historical reports, SAS offers predictive insights. www.sas.com Native XML Database Beginner’s guide to becoming a Business Intelligence Expert | Join Sights – Johan Åhlén What makes someone a Business Intelligence expert? Is it about depth of knowledge or maybe recognition? Who decides what knowledge a Business Intelligence expert should have? How do you become a Business Intelligence expert? I think there are no simple answers to these questions, but if you want to become an expert on Microsoft Business Intelligence I hope this article will be helpful. Learning “It ain’t what people don’t know that hurts them it’s what they know that ain’t so” -commonly attributed to Mark Twain I view learning as a process in three phases The unawareness phase – For example: “There’s a red lamp lit on the instrument panel of my car but I just ignore it.”The awareness phase - where you are aware of your own limited knowledge of the topic. These phases can also be illustrated as in the picture below. Visit conferences. “The time is always right to do what is right” – Martin Luther King Jr Now you may think this all sounds great – if you only had time. Recognition Like this:

Phase C: Information Systems Architectures - Data Architecture This chapter describes the Data Architecture part of Phase C. 10.1 Objectives The objectives of the Data Architecture part of Phase C are to: Develop the Target Data Architecture that enables the Business Architecture and the Architecture Vision, while addressing the Request for Architecture Work and stakeholder concerns Identify candidate Architecture Roadmap components based upon gaps between the Baseline and Target Data Architectures 10.2 Approach 10.2.1 Key Considerations for Data Architecture When an enterprise has chosen to undertake largescale architectural transformation, it is important to understand and address data management issues. Considerations include: When an existing application is replaced, there will be a critical need to migrate data (master, transactional, and reference) to the new application. Data governance considerations ensure that the enterprise has the necessary dimensions in place to enable the transformation, as follows: 10.2.2 Architecture Repository 10.3 Inputs

World Conference Las Vegas 2012 -- TDWI Events TDWI World Conference Vendor Exhibition Come by the TDWI Exhibit Hall, where the leading providers of hardware, software, and services for BI, data warehousing, and related technologies will be demonstrating their latest solutions. Times will be set aside for visiting with these solution providers without missing any courses. Want to exhibit? Contact Steve Cissell at scissell@tdwi.org or 425.277.9135. Vendor / Exhibit Hall Events "The people who have come have been very energetic, and also, most of them have projects, which is good. — Jon Ayers, DataFlux, Exhibitor The following companies have exhibited with TDWI in the past two years:

XML representation of a relational database A relational database consists of a set of tables, where each table is a set of records. A record in turn is a set of fields and each field is a pair field-name/field-value. All records in a particular table have the same number of fields with the same field-names. This article describes an application of (a simple subset of) XML that can be used to represent such a database. The relational data-model also defines certain constraints on the tables and defines operations on them. We are not concerned with the constraints and operations here. Several such languages are possible, of course, and it not hard to come up with alternative and equally valid ones as the one described below. Introduction The description of the database above suggests a simple nesting of fields inside records inside tables inside databases. <! The format is verbose, since XML is verbose. The database We can model the database with a document node and its associated element node: <! The name is arbitrary. The table <! etc.

The Data Administration Newsletter – TDAN.com Ventana Research - Education Events Industry Conferences Ventana Research Technology Leadership & Innovation SummitsOctober 20th to 22nd, 2014, Hyatt Regency San Francisco Airport Ventana Research Business Technology Innovation and Technology Leadership Summit's will provide the insight and knowledge on the latest in business and IT use of application and technology with education on latest innovations. Registration Coming Soon! Ventana Research Business Technology Innovation Summit 2013November 11th & 12th, 2013, Swissotel ChicagoVentana Research’s summit offers a guide on the rapid changes in technology, providing insight into where the industry will go over the next decade and how business and technology leaders can be positioned for success. Register to view the session replays! Register to view the session replays! User Conferences

XML and Databases Copyright 1999-2005 by Ronald Bourret Last updated September, 2005 This article also available in: Table of Contents 1.0 Introduction This paper gives a high-level overview of how to use XML with databases. It describes how the differences between data-centric and document-centric documents affect their usage with databases, how XML is commonly used with relational databases, and what native XML databases are and when to use them. NOTE: Although the information discussed in this paper is (mostly) up-to-date, the idea that the world of XML and databases can be seen through the data-centric/document-centric divide is somewhat dated. 2.0 Is XML a Database? Before we start talking about XML and databases, we need to answer a question that occurs to many people: "Is XML a database?" An XML document is a database only in the strictest sense of the term. 3.0 Why Use a Database? For example, suppose you have an e-commerce application that uses XML as a data transport. 4.0 Data versus Documents

Market Intelligence | Competitive Intelligence - Market Intelligence, Competitive Intelligence Research from and by Competitive Intelligence Professionals Joe Celko The SQL Apprentice Web 2.0 Summit 2011 - Co-produced by UBM TechWeb & O'Reilly Conferences, October 17 - 19, 2011, San Francisco

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