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DW 2.0, the Unstructured Data Warehouse, and Textual ETL

Bill Inmon

Founder
Forest Rim Technology

Wednesday, September 22, 2010
8:30am - 4:30pm
5 hours 45 minutes

Abstract:
DW 2.0

Information architecture has advanced from simple applications to data warehousing over the past several decades. Most evolutions occur at glacial speeds, but not this one. Data warehousing was once thought of as a means to allow end user a mechanism to look at corporate data, but it has continued to evolve over time.

Several forces have shaped the ongoing evolution of data warehouse including:

• The pervasiveness of data warehouse. In one form or the other, everybody is doing data warehouse
• The volumes of data that attach themselves to a data warehouse
• The costs of a data warehouse, especially as it grows
• The diversity of uses of data warehouse data
• The number of data marts that grow up around a data warehouse

As interesting and as useful as first generation data warehouses are, they are merely a stepping stone to a more advanced form of data warehousing. Some of the elements of DW 2.0, the next generation of data warehousing include:

• The recognition of the life cycle within the data warehouse
• The recognition of the role and importance of metadata
• The recognition that unstructured data plays a real and important role in the data warehouse of the future

This half day presentation addresses the architectural evolution to DW 2.0, the architecture for the next generation of data warehousing.

Abstract:
The Unstructured Data Warehouse

For years data warehouses have been built based on transaction, repetitive data. Modern relational data bases are built to handle repetitive data. As a consequence, transaction based data fits easily and efficiently on modern data base management systems.

But in the world there is an entirely different kind of data that is also useful for decision making. That data is unstructured, textual data. There is nothing that is remotely repetitive about unstructured data. In fact text fits very uncomfortably on a standard relational data base management systems.

But there are many forms of text that need to become part of the corporate decision making process. There are corporate contracts, medical/healthcare data, data found on spreadsheets, data found on email, data found in insurance claims, chat log sessions, data found in comments fields in older technology, and so forth.

In short, there is a mountain of very important data that has never been able to be used in the corporate decision making process. But now there is (patented) textual ETL. With Textual ETL there is the opportunity to read and reshape your textual data so that it does fit comfortably and usefully on standard relational technology.

Textual ETL is very different from classical legacy systems ETL. With Textual ETL, you read text and do many things to the text in order to reshape the text into a form that is useful for loading into a relational data base. In doing so, you set the stage for some very important things:

• Leveraging your existing analytical tools
• Combining query processing with both unstructured text and structured data
• Using a standard relational data base environment to hold and manage textual data

This half day presentation is on some of the different aspects of building the unstructured data warehouse.

Universally recognized as the father of data warehousing, Bill is a popular speaker and internationally recognized expert, providing advice to many corporations, universities and leading high-tech companies. He has published more than 40 books and 1,000 articles on data management and data warehousing, and his books have been translated into nine languages.

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Data Warehouse Appliances and Data Warehouse Architecture

Krish Krishnan
President
Sixth Sense Advisors Inc.


Thursday, September 23, 2010
8:30am-12:00pm
3 hours

Abstract:
Textual Mining and Textual Analytics – Unlocking Hidden Patterns and Unleashing Knowledge from your Enterprise Data

Unstructured (Semi structured, video and social media) data integration is a hot topic of discussion in data warehousing and business intelligence today. Integration of the data is a subject that needs to be thoroughly understood in order to be able to consume the same for analysis and reporting. Visualizing the data and deriving meaningful insights is the delivery of the data to the consumer.

This session’s goal is to discuss the subject of textual mining and analytics. The textual mining session will discuss how to analyze the data and prepare the same for integration to the data warehouse. We will examine techniques to cleanse and prepare the data, the integration of taxonomies and ontology’s and techniques to store the data. The Textual analytics session is the visualization of the data / content which is available across the enterprise. We will discuss what textual analytics is from an architecture and application perspective, and how to implement an effective solution with textual analytics. We will look at social media and its impact on textual analytics.

Additionally we will also discuss how to leverage the existing business intelligence investments when implementing a textual analytics solution.

What You Will Learn:

• What is Corporate Data
• Text mining
  • Classification of textual data
  • Cleansing textual data
  • Metadata
  • Taxonomies and Ontology’s
  • Stemming and Spelling
  • Pattern Matching
• Textual Analytics
  • Architecture
  • Solutions
  • Visualization
  • Implementing solutions
• Enabling effective use of enterprise search and BI solutions
• Social Networking and Text mining
  • Case studies from Facebook and MySpace
• Context search and Text mining - Kosmix
• Technologies for text mining

Abstract:
Data Warehouse Appliances – A New Platform for Next Generation Data Warehousing (DW3.0)

As a CIO or a senior executive of an organization, there are a number of issues that keep you awake at night; do you know the answers to these questions?

1. What is the most pain that keeps you awake at night?
2. What is the most important business pain that you would like to address?
3. What is the time your IT staff, spend in supporting business needs?
4. Which business process are you currently improving with IT?
5. What is the number one management priority for the year ahead?
6. Are you confident that you have the right platform to move your business into the Web3.0 Enterprise

Over the past decade, a new breed of technologies has emerged in the marketplace, purpose built for delivering sustained performance and modular scalability within the data warehouse architecture. The technologies have been collectively classified as data warehouse appliances. There are different types of data warehouse appliances in the market today, each of them have a unique approach to solving the performance issues in your architecture. As a senior executive in the organization, how do you see these technologies? Are you aware of the fact that these “game changing” approaches to improving and sustaining the performance of your data warehouse.

1. Are you aware of game changing technologies that can control cost and provide value?
2. Would you consider a technology like the data warehouse appliance for your IT?
3. Are you aware of the fact that you can control cost and achieve balance in the organization with data warehouse appliances?
4. Would you be open to learning the value of an investment into a data warehouse appliance?

In this half a day course, we will present an independent analyst perspective on the data warehouse appliance platform, the different types of appliances and the architecture enablement they bring to your organization. In addition to the data warehouse appliances, we will also cover enterprise architecture approaches to Web3.0 Data Warehousing and how to adopt using the DW 2.0 data management techniques to implement a robust architecture with an efficient information lifecycle management and a strong framework as a platform.

Mr. Krishnan is a recognized expert worldwide in the strategy, architecture and implementation of high performance data warehousing solutions. He is a visionary data warehouse thought leader, ranked as one of the top 25 data warehouse consultants in the world, and an independent analyst, writing and speaking at industry leading conferences, user groups and trade publications. He has authored three eBooks, over 75 plus articles, viewpoints and case studies in Business Intelligence, Data Warehousing and Data Warehouse Appliances and Architectures.

Krish is the president of Sixth Sense Advisors Inc, a Chicago based company providing Independent Analyst consulting services in Data Warehouse and Business Intelligence. He presents and speaks at TDWI, DAMA, IRM UK, MIT Symposium and other industry conferences and is helping drive and mature the data warehouse appliance market. He also serves as Associate Vice President of Programs, DAMA Chicago.

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Practical Architecture (Version 1)

Bill Bird
Enterprise Architecture Advisor
Shell Oil


Thursday, September 23, 2010
1:30pm-2:30pm
1 hour

Abstract:
In the late 90s, a new oil company was formed by combining the operations of two major oil operations in California. The venture was called Aera Energy LLC. Aera is now considered a “best practices” among the parent companies. A significant part of the company’s success was, and continues to be, Enterprise Architecture. In 2009, Bill Bird was asked to bring his learning’s to Shell (one of Aera’s parent companies) to jump start their EA effort for the fast paced natural gas business in North America.

Bill will describe his experiences as he progressed through the various stages of the EA lifecycle over a 10 year timeframe. He will also discuss how those experiences impacted his approach on his most recent EA journey. One of Bill’s key messages is not to wait for the perfect product before you start delivering to the business. It is OK to release Version 1, because the next version is just around the corner.

Bill Bird started his career in 1985 with Shell Oil Company, located in Bakersfield, California, as a cartographer (a maker of maps). Shortly after, Bill realized the art of drafting with pen and ink was being replaced with Geographic Information Systems (GIS). He decided that if he was going to be successful in his chosen profession, he would have to get good at the “IS” part of “GIS”…so the transition to the “dark side” was put into motion.

Fast forward ten years, Shell Oil Company forms an LLC out of the California operations. Within a year, this LLC is merged with Mobil Oil’s California operations and becomes Aera Energy LLC. Shortly after this merger, Exxon merges with Mobil to become ExxonMobil. Aera is now co-owned by two of the world’s largest energy companies: Shell and ExxonMobil. As you can imagine, this merger resulted in a multitude of duplicate processes and data/information systems.

Bill had numerous roles on the team that implemented Enterprise Architecture (EA) within Aera. “The Aera Way” is now a new term used in the Shell and ExxonMobil vocabulary. With one successful Enterprise Architecture implementation “under his belt,” Bill is taking his Aera leanings back to Shell Oil, specifically to the Upstream America Onshore Gas operations, to implement EA…“The Onshore Gas Way”.

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The Evolution of Business Intelligence

Greg Hatfield
President and Co-Founder
Bi3 Solutions


Friday, September 24, 2010
8:30am
1 hour

Abstract:
The Evolution of Business Intelligence
Traditional Business Intelligence has often failed to live up to the business value that it promised. In short, by being limited to delivering output from existing structured content in the form of reports, cubes and dashboards, BI today falls significantly short of the intelligence and context required for effective and efficient decision making. It fails to address the inclusion of unstructured (textual) content with its relationship to structured data and it lacks support for the decision lifecycle enabling human centric and business processes, collaboration and knowledge capture. Business Intelligence has stagnated at providing advanced “observation” capabilities. In this session, Greg Hatfield will explore why an evolution of Business Intelligence is required, and what it will take to deliver the business value it still promises. Agenda:

• The Gap between BI and Business Decisions (powerpoint – 10 min)
• The Evolution of BI – Intro of Decision Intelligence (powerpoint – 15 min)
• Workflow Driven Analytics, Context and Content (powerpoint – 15 min)
• Decision Intelligence in Action (online – 15 min)
• Q&A

Greg Hatfield has over 15 years of experience delivering successful Business Intelligence solutions. As President and Co-Founder of Bi3 Solutions, he now focuses on the driving the evolution of Business Intelligence to Decision Intelligence. Prior to co-founding Bi3 Solutions, Greg was Vice President of Delivery Services for ONE, Inc. where he was responsible for all aspects of quality solution delivery in the areas of BI, CRM and eBusiness. He has also held the position of Business Intelligence Practice Director for Whittman-Hart. Greg is a member of the Society of Industry Leaders in the area of Business Intelligence and contributes to the industry by regularly providing analyst briefing on BI, through speaking engagements and has authored/co-authored several white papers on BI and related topics.

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"Non-Invasive Data Governance"™ and Data Warehousing Architecture

Robert S. Seiner
President and Principal
KIK Consulting & Educational Services


Friday, September 24, 2010
10:00am
1 hour

Abstract:
If you are building or have built a Data Warehouse - there IS Data Governance is already taking place at your organization. Someone, at some point, has or had the responsibility and accountability for defining, producing and using the data in the data warehouse. Someone has the responsibility and accountability for defining, producing and using the data in the resources that feed or get fed by the warehouse. Someone has the responsibility for classifying, securing and handling the data. The governance of data often takes place informally, inefficiently and ineffectively. "Non-Invasive Data Governance" focuses on formalizing behavior around the management of critical data. This session by Robert S. Seiner will address:

• What is the message that should be sent to Management regarding Data Governance and Data Warehousing?
• What does it mean to implement Data Governance in a "Non-Invasive" manner?
• How can we benefit from the existing levels of governance while addressing opportunities to improve?

Robert (Bob) S. Seiner is the President and Principal of KIK Consulting & Educational Services and the Publisher of The Data Administration Newsletter (TDAN.com). In 2010, TDAN.com will celebrate its 13th anniversary and attracts more than 100K visitors every month. This same year, KIK Consulting will celebrate its 8th anniversary and focuses on knowledge transfer and consultative mentoring. Bob was recently awarded the DAMA Professional Award for significant and demonstrable contributions to the data management industry and chaired the 2010 Data Governance Best Practice Award. Bob specializes in "Non-Invasive Data Governance", data stewardship, and meta-data management solutions and has successfully assisted and mentored many notable organizations.

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How Heat Data Mapping Will Provide ROI

Tim Leonard
CTO, VP of Information Management
Usxpress Inc.


Friday, September 24, 2010
11:00am
1 hour

Abstract:
A heat map is a graphical representation of data where the values taken by a variable in a two-dimensional map are represented as colors. A very similar presentation form is a tree map. We will take a look at the enterprise view of heat mapping and why it can be an effective mechanism for interactive data protection. The heat mapping capability gives the end user more data exploration capability, at the same time gives the developers a simplified view of the information. Users are becoming more demanding and want new techniques which display data and makes large data sets more meaningful for end-users.
We will cover several topics with heat mapping, and how they can be used to benefit your organization.

There are several different kinds of heat maps:

1. Web heat maps have been used for displaying areas of a Web page most frequently scanned by visitors.
2. The tree map is a 2D hierarchical partitioning of data that visually resembles a heat map.
3. A mosaic plot is a tiled heat map for representing a two-way or higher-way table of data. As with treemaps, the rectangular regions in a mosaic plot are hierarchically organized. That means that the regions are rectangles instead of squares.

Timothy Leonard CTO, VP of Information Management at Usxpress Inc, has over 22 years experience in configuration management planning for Information Management System, Operational data stores and Order Entry Systems. His expertise includes delivering of the mechanism used to identify, control, and track the changes to each project rollout across-Functional Team. He has written procedures on the effectives for an organized and formal method for managing change requests to baseline documents and associated projects. A “patent holder” for Internet Order Entry System, Mr. Leonard a publisher of several articles on effective collaborations, he understands and implements all phases of a project life cycle by identify and track all actions and changes resulting from a Configuration Management plan from initiation through to release for enterprise solutions. Effectively bring together the business needs and delivering IT solutions that enable the business

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Using Portals to Simplify the End-User’s BI Experience

Mike Lampa
Practice Lead
Dell Services


Friday, September 24, 2010
1:30pm
1 hour

Abstract:
A web portal presents information from diverse sources in a unified way. Apart from the standard search engine feature, web portals offer other services such as search, e-mail, news, stock prices, information, databases and entertainment through a consistent look and feel with access control and security. A personal portal provides personalized capabilities to its visitors. Business portals are designed to promote collaboration in workplaces with content across multiple platforms.

During this session we’ll look how these portal capabilities, when properly applied, will improve the end-users Business Intelligence experience and increase the value proposition of the data warehouse and business intelligence investments

Mike Lampa is a Practice Lead for Dell Services Global Business Intelligence practice. Prior to joining Dell in 2008, Mike owned and operated a Data Warehouse consulting practice for 14 years, providing end-end DW program planning and Solution Delivery. Mike is a sought after speaker and educator. He is actively involved with TDWI and has been published in DM Review.

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Taxonomies

Ross Leher
Chairman and CEO
WAND, Inc.


Friday, September 24, 2010
2:30pm
1 hour

Abstract:
Taxonomies represent the data model for unstructured data. An overview of taxonomies will be presented with a follow up demonstration of various graphical interfaces which will show live data. A presentation of the value of taxonomies for enterprise content classification will be provided as well as a demonstration of enterprise applications utilizing the taxonomies.

Ross Leher is Chairman and Chief Executive Officer of WAND, Inc. Mr. Leher, whose background includes international commerce, trade, and retailing, has a proven record of growing innovative businesses in highly competitive markets. WAND has developed structured multi-lingual vocabularies with related tools and services to power precision search and classification applications. Simply put, we make search work better. WAND Taxonomies are used in online yellow pages and local search, ad-matching engines, B2B directories, product search, and within enterprise search engines. WAND’s Taxonomy Library contains more than 40 domain specific taxonomies including 33 different industry vertical packages, jobs, travel, retail, medical, financial services, records retention, and general enterprise search topics with more domains being added on a regular basis. WAND data can be integrated into a wide variety of search applications to improve the relevance of search results. WAND’s taxonomies are available in 13 global languages. Mr. Leher is a graduate of the University of California, Berkeley with a degree in Economics

Featured Speakers

Bill Inmon

Krish Krishnan

Bill Bird

Thomas Groh

Bob Seiner

Tim Leonard

Mike Lampa

Ross Leher

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