Dec 2, 2022 8:00-12:00 Eric Lealos “The Evolution of Data Architecture to the Cloud” along with Mark Phillips from Slalom and Nik Acheson “Beyond a Data Catalog: Improving a Data User's Experience with Metadata, Innovation and Trust Unlocked: Why a Modern Data Catalog Approach Matters to Your Business, ” 
        
        
        
        Connect. Share. Learn ***MICROSOFT VENUE*** 
Microsoft Technology Center
4220 Duncan Ave. #501
Room: Gateway Arch I & II 5th floor
St. Louis, MO 63110 ***  
ATTENTION ALL Business Intelligence, DW and Cloud Analytics and Data Governance PROFESSIONALS 
  Dear TDWI St. Louis Analytics and Governance Professionals, 
  We cordially invite you to attend our upcoming LIVE TDWI St. Louis meeting on Dec 2, 2022. Come meet other local professionals, swap business cards, share ideas, and exchange career advice while listening to quality presentations in a vendor-neutral setting, which is the hallmark of TDWI education. Please see our detailed meeting agenda below.      
  
     
      When: | 
    Dec 2, 2022 8:00 - 12:00   | 
  
  
    Where:  
         | 
    Microsoft Technology Center 
      4220 Duncan Ave. #501 
      5th Floor Room: Gateway Arch I and II 
      St. Louis, MO 63110   | 
  
  
    Topics:  | 
    The   Evolution of Data Architecture to the Cloud   
      Beyond a   Data Catalog: Improving a Data User's Experience with Metadata, Innovation   and Trust Unlocked: Why a Modern Data Catalog Approach Matters to Your   Business    | 
  
DON'T MISS THIS EVENT! Please RSVP below 
  Click here to register for the next upcoming event
 
  
Agenda: 
  
    8:00 – 8:20  | 
    Networking and Registration  | 
  
  
    8:20 – 8:35  | 
    Introductions and Chapter Business  | 
  
  
    8:35 – 10:00  | 
    Presentation: The Evolution of Data Architecture in the   Cloud  
      Eric   Lealos  
      The state of the art for   engineering in analytics has evolved significantly over the past 25 years.   Early on the practice of data modeling emerged as a means to improve   performance and make data more accessible and easier to use for authors,   analysts and creators. Since the early days much has changed. On the   technology side, we have seen advances in traditional relational databases to   support analytics, the invention of databases designed specifically for   analytics, analytic appliances, and now modern databases in the cloud,   designed not only for analytics, but to streamline many of the workflows   commonly used to engineer data.  
      There has been a similar   evolution in the way companies use and expect to use data, analytics and   tools. We have seen companies start with reporting, with cobol programs   creating printed reports, literally distributed in mail boxes to a small   number of users based on page ranges, to automating reporting and   distribution with BI software, to creating enterprise reporting and analysis   platforms that support reporting, ad hoc data access, and more advanced   analytics, to establishing platforms that provide data not just for   reporting, analysis and advanced analytics, but for ad hoc exploration and   analysis, automating workflows and sophisticated operational activities.  
      Through all of these changes, I   have found that many things have changed, and many have stayed the same.   Massive improvements in performance have enabled different design patterns in   ETL, and different physical models at the database level. Meanwhile usage   patterns have taken advantage of these improvements and have driven different   approaches to designing and approaching data warehouse workflows to make   complicated tasks easier.  
      All of these developments have   created opportunities for new applications and tools to help data and   analytics engineers create more value. I will walk through some of the   significant evolutions in this industry over the past 20 years and connect   them to the most significant changes I have seen in the state of the art of   data modeling, ETL architecture, and data/analytics engineering.   | 
  
  
    10:00 – 10:20  | 
    Break   | 
  
  
    10:20-11:45  | 
    Presentation: Beyond a Data Catalog: Improving a Data   User's Experience with Metadata  
      Mark   Phillips and Nik Acheson  
      
        - Beyond a Data Catalog: Improving a Data User's   Experience with Metadata
 
       
      Data catalogs are at the center of many   organizations' data initiatives with promises of data discovery,   understanding, and trust and yet we often fail to use metadata as intended -   an enabler of user satisfaction. In this presentation, we'll explore how   shifting our mindset about metadata and can accelerate data initiatives and   help answer a critical question, "how can we improve a data user's   experience?". 
      
        - Innovation and Trust   Unlocked: Why a Modern Data Catalog Approach Matters to Your Business
 
       
        
      Contemporary   data catalogs have massively evolved in recent years and the benefits are no   longer being delivered for just technology teams. This presentation will   break down the contemporary data catalog into a few key areas, what you   should expect out of them, and how to begin delivering more Trusted business   value while evolving architecturally. Examples to be shared include   technologies, past experience from enterprise implementations across   different industries, and others to help you navigate where you should start   or scale next.  | 
  
  
    11:45-12:00  | 
    Wrap up and Give-Aways  | 
  
DON'T MISS THIS EVENT! Please RSVP below 
  Click here to register for the next upcoming event
 
Space is limited so sign up early! 
  
  For more information about TDWI Membership, contact [email protected].
  To contact a Chapter officer, click on name of the officer located on the top right hand column of this page. To review prior webinars and live events, go to www.tdwistl.org.  
  
Bios of Presenters
Eric Lealos has worked in the data and analytics industry for approximately 25 years. He got his start as a software engineer at Information Advantage, one of the original Decision Support Software providers in the world. Customers included 3M, Target, Albertsons, and SuperValu. From there he went on to work in professional services for Cognos, leading projects at UnitedHealth Group, Boeing and LeapFrog. After leaving Cognos he went on to found Quantified Mechanix, a professional services, consulting and software firm in Minneapolis, which has been in business for nearly 20 years. Quantified Mechanix helps clients integrate and architect data, create data flows and create meaningful content from cloud and on premise applications to create analytics that improve business performance.
Eric has an undergraduate degree from the University of Vermont, and an MBA from the University of St Thomas. He has also been trained by Ralph Kimball, receiving certificates for Dimensional Modeling in Depth, Data Warehouse in Depth, and ETL Architecture in Depth through the Kimball Group. Eric is still a hands-on developer and really enjoys working with talented technical people and talented business people to create simple, elegant and effective solutions.
   
  •          Mark Phillips www.linkedin.com/in/mark-phillips-stl 
Mark Phillips is a consultant and leader in data management responsible for Metadata Management and Data Auth capabilities at Slalom Consulting. An avid problem solver with a breadth of experience, Mark has delivered data driven solutions across industries in data management and strategy, data viz, and data engineering. He is passionate about crafting human centered solutions that provide timely access and enable insight.
•          Nik Acheson https://www.linkedin.com/in/nacheson/
Nik is a Customer, Mission, and business obsessed product and enterprise architecture leader with deep experience leading both digital and data transformations. Over 15 years of experience driving innovation and scale in complex enterprises such as NSA (National Security Agency), Philips, Concur, Nike, AEO, and Zendesk. Presents at conferences & meetups on advanced areas of Data & Analytics such as Data Mesh, Data Fabric, Distributed Intelligence/ Analytics, AI/ML & Data Science, Data Governance, Information Security, Personalization, 360 data strategy (product, customer, content, partner), and others.
  Passionate about building, growing, and/or turning around teams and organizations by modernizing business, technology, process, and culture. Focuses on enabling data as an intelligent asset to help improve the lives and personalized experiences of customers, direct impact of teams, and rigorous & transparent prioritization. Have led portfolio and agile transformations and teams (including introducing and scaling SAFe); authored numerous policy & compliance business & technical certifications (including GDPR, ISO 20071, CMM, CMMI, etc.); served on CTO and Architecture boards/councils, change management leadership teams, enterprise transformation councils, and others; and has supported the discovery, qualification, recommendations, and integration of numerous acquisitions.