NOTE: $15 for non-members / $5 for students. RSVP via Eventbrite, link on damapdx.org

Presented by Melanie Mecca Director, Data Management Product and Services, CMMI Institute

Data Management Maturity – Why We Need It and How It Can Propel You to DM Leadership

Our industry is continually building capabilities based on its considerable accomplishments over the past decades. Some of the (roughly) sequential milestone markers that most organization share include: data design, data administration, data architecture / warehousing, data quality and governance, MDM, and predictive analytics using both structured and unstructured data.

So why haven’t organizations attained DM perfection? As we know, the data layer in the vast majority of organizations grew project by project, typically to meet specific needs of a line of business. Best practices were not usually shared, useful work products languished in project repositories, etc. – and above all, there was no universal mandate to manage data as a critical corporate asset.

The Data Management Maturity (DMM)SM Model’s primary goals are to accelerate organization-wide DM programs by: providing a sound reference model to quickly evaluate capabilities, strengths and gaps; accelerating business engagement; launching a collaborative vision / strategy; and identifying key initiatives to extend existing capabilities while building new ones – leading to efficiency, cost savings, creativity, and improved data quality.

In this seminar, we’ll address:

Data Management Capabilities and Maturity Evaluation The DMM in action – interactive exercise with the Business Glossary – rate your organization! Case study examples – how organizations have accelerated their progress How to leverage Data Management Maturity to empower your career.

Speaker

Melanie Mecca, CMMI Institute’s Director of Data Management Products and Services, has solved enterprise data challenges for 30+ years, and is the managing author of the Data Management Maturity (DMM) SM Model. She created a business-centric method for evaluating an organization’s data management capabilities, which delivers targeted, actionable results for organizations in multiple industries. Ms. Mecca’s led development of a series of courses and web-based learning leading to the Enterprise Data Management Expert (EDME) certification. She teaches seminars, presents at conferences and webinars, is a regular columnist for The Data Administration Newsletter, and a contributor to the Data Management Body of Knowledge 2.0. Ms. Mecca advocates measurement of data management capabilities as the quickest acceleration path for achieving business value, empowering governance, and advancing the organization’s data strategy.

Regular presenter at DGIQ, Financial DG, Winter DG, EDW, and many other conference venues. Columnist for TDAN “Data Professional Introspective,” webinars for DataVersity, ISACA, Data Driven Business, and CMMI Institute. Direct IP and data management course development. Frequent presenter for DAMA Chapters, e.g. Seattle, Phoenix, Portland, NCR, etc.

When

November 15th, 2018 (Chapter Meetings, 3rd Thursday)

Schedule

8:30 – 9:00 am – Sign In 9:00 – 10:15 am – Presentation 10:15 – 10:30 am – Break, Chapter Announcements 10:30 – 11:30 am – Presentation continued

Cost

Free for Members! $15 for Non-Members $5 for Students with valid student ID See our corporate members

Presenters

Mike Phillips – Vice president of Integrated Solutions, SLG Innovation. Co-Chair of the NIEM State, Local, Territorial and Trible Tiger Team.

Katherine Escobar – Deputy Division Chief, Data and Services Division, Cyber and Command, Control, Communications and Computers Integration (DD C5I), Joint Staff J6

Paul K. Wormeli – Innovation Strategist, Wormeli Consulting, LLC – Co-Chair of the NIEM State, Local, Territorial and Trible Tiger Team.

Abstract

An organization’s ability to effectively serve its customers hinges on the availability of current, accurate, and relevant information. The National Information Exchange Model (NIEM) is a community-driven, standards-based approach to exchanging information. Diverse communities can collectively leverage NIEM to increase efficiencies and improve decision-making.

NIEM is a common vocabulary that enables efficient information exchange across diverse public and private organizations. NIEM can save time and money by providing consistent, reusable data definitions and reusable processes. NIEM is available to everyone, including both public and private organizations.

NIEM includes a data model, governance, training, tools, technical support services, and an active community to assist users in adopting a standards-based approach to exchanging data.

What You Will Learn

This session will provide you with a NIEM overview and some practical applications.

Bio: Semih Salihoğlu is an Associate Professor and a David R. Cheriton Faculty Fellow at University of Waterloo. His research focuses on developing systems for managing, querying, or doing analytics on graph-structured data. His main on-going systems project is Kùzu, which is a new graph database management system that integrates novel storage, indexing and query processing techniques. He holds a PhD from Stanford University and is a recipient of the VLDB 2018 Best Paper and the VLDB 2022 Best Experiments and Analysis Paper awards.

Abstract: In this talk, I will present the Kùzu graph database management system (GDBMS) that we are developing at University of Waterloo. Datasets and workloads of popular applications that use GDBMSs require a set of storage and query processing features that relational DBMSs (RDBMSs) do not traditionally optimize for. These include optimizations for: (i) many-to-many (m-n) joins; (ii) cyclic joins; (iii) recursive joins; (iv) semi-structured data storage; and (v) support for universal resource identifiers. Kùzu aims to integrate state-of-art storage, indexing, and query processing techniques to highly optimize for this feature set. I will start by presenting the overall vision of Kùzu and then talk about the novel join operators in the system that performs joins using compressed factorized representations of intermediate tables. Kùzu is actively being developed to be a fully functional open-source DBMS with the goal of wide user adoption and under a permissible license.

Bill Inmon known as the father of the data warehouse and has written 68 books, selling over a million copies in total and translated into 9 languages.

Bill was named by Computerworld as one of the ten most influential people in history of computing. Bill’s company, Forest Rim Technology, has created textual ETL which reads raw text and turn it into a database. Bill lives in Denver Colorado with his wife and his two Scotty dogs.

Abstract

Certain vendors have suggested that the organization throw data into a data lake and then let end users analyze the data in the data lake. The data lake quickly turns into a data swamp or sewer. No one gets any value out of the data lake. In order to turn your data into something useful you need to turn your data lake into a Data Lakehouse. This presentation is all about the evolution of architecture and how to start to get value out of your data lake.

What You Will Learn

In this presentation Bill will discuss:

· The evolution of data architecture

· Data Lakes – where did they come from

· The Data Lakehouse and the analytic infrastructure

· Getting a handle on text – text analytics

RSVP for Google Meet or Zoom link

Cost

Free! (suggested donation $5 for non-members)

If you’ve paid any Data PDX/DAMA membership dues during 2019-2021 or are an employee of a corporate member, please choose Member RSVP.

Where

RSVP for Google Meet or Zoom link

Date – Thursday, January, 19th

Time – 4pm

Speaker

Kamran Shirazi, Google Cloud

Kamran started his career at Teradata as a DWH consultant in 2006, after completing his bachelors in computer sciences with majors in Data warehousing and Data Mining. He worked in Europe with large financial and telecom companies before moving to Portland in 2010. As BI Architect at Nike, he led the DWH CoE group that owned the creation of design patterns and data modeling standards. Later, he joined Intel as an Engineering Manager and led the migration of a mission critical SQL Server platform to the cloud. Kamran carries over 15 years of experience in the data management space and holds certifications in Snowflake, Teradata and Google Data Engineering.

Abstract

Data Governance Overview Components of Data Governance Data Governance through Dataplex Key Features Use Cases Demo Q&A

RSVP for entry ticket. This is an IN PERSON event at Google Portland

Cost

Free! (suggested donation $5 for non-members)

If you’ve paid any DAMA membership dues during 2019-2021 or are an employee of a corporate member, please choose Member RSVP.

Where

555 SW Morrison, Portland, OR Suite 500, Meier and Frank building

RSVP for entry, this is an IN PERSON event

Time – 4pm

Data Storytelling: Making Dashboards Action Inducing

What was the last dashboard or data visual you reviewed? Did you find it answered your questions or raised more? Have you ever wondered how to make your data visualizations more effective? Our challenge as Dashboard Developers is to tell a story or lesson learned without speaking.

Dashboards are common, but communicating a message without the aid of in-person speaking remains a challenge and barrier to effectiveness. In this session, we’ll discuss methods to create a dashboard using visual aids (color, negative space, data labels, focal points, etc.) to convey a clear message without speaking.

Visualizations of data are taking over where row and column reports previously ruled as the human brain processes visuals up to 60,000 times faster than text providing an added efficiency in messaging. In this session, we will review the tips, common pit falls to avoid, and subtle steps taken to create a data visualization for optimal communication without the use of speech.