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Apr 13 Demo Day – Data Catalogs

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DATE: April 13, 2022, This event has passed. The recording of today’s sessions will be made available in our Product Demos section within the next week.

TIME: 8:00 AM – 11:45 AM Pacific / 11:00 AM – 3:45 PM Eastern

PRICE: Free to all attendees

Welcome to DATAVERSITY’s newest education opportunity, Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity to learn more about the available tools and services directly from the vendors that could contribute to your Data Management program success.

Register to attend one or all of the sessions or to receive the follow-up email with links to the slides and recordings.


Session 1: What You Should Expect from Your Data Catalog

What comes to mind when you think of a data catalog? Metadata management? Data governance? A business glossary? It’s true that a data catalog must cover each of these disciplines, but modern, data-driven enterprises need much more.

Get ready to see a modern data catalog implementation: join Stewart Coerver, Director, Sales Engineering, at a data.world, for a deep dive into the most popular use cases for a data catalog.

Stewart Coerver

Director, Sales Engineering, data.world

Stewart Coerver is the Director of Sales Engineering at data.world with 10+ years of experience in data management and strategy, including deep experience with data catalog and governance platforms. After facilitating many implementations, Stewart is eager to help organizations reach milestones in their digital transformation journeys by building a transparent, collaborative environment for data consumers and producers to get their work done. Outside of his professional life, Stewart loves crossword puzzles, sports and tv binging, hiking, and keeping up with a six year old.

Session 2: How Machine Learning (and a Little Human Insight) Can Prune Your Thorniest Data Challenges

Dispel the most demanding data-management challenges with the dynamic duo of machine learning and Got challenges with your data management? Leave it to us. Learn how Alation combines machine learning with human insight to drive data search and discovery, data governance, data stewardship, analytics, and cloud transformation.

Dave Ebbels

Sr Sales Engineer, Alation

David Ebbels is a Senior Sales Engineer at Alation, with over 20 years of experience in Data Intelligence.  His areas of specialization include Business Analytics, Architecture, and Data Management.  With cross-industry expertise, David has helped organizations of all sizes – from start-ups to Fortune 100 enterprises – achieve positive business outcomes through technology solutions and processes.  Outside of work, David is devoted to his wife and son, and has a passion for fly-fishing.

Session 3: Discover, Monitor, Govern Data remarkably easier with an Intelligent, Active, Augmented Data Catalog

Executives in every company recognize that data needs to be harnessed to fuel business initiatives.

They have invested considerable resources to make their organization capable of generating insights using this data.

Despite all this, decision-makers are drowning in data but starving for insights. Because it is difficult to find information or trust that it is accurate.

DvSum’ s Intelligent Data Catalog makes it remarkably easy for data and analytics teams to discover, monitor, and govern data.

Join DvSum as we demonstrate how you can build an active, augmented Data Catalog fast and use it to:

  • speed up data discovery and deliver timely and accurate insights faster
  • launch a lean, sustainable, and effective data governance program
  • increase business literacy and trust in data

Aashish Singhvi

Co-Founder & CEO, DVSum

Aashish Singhvi is Co-Founder / CEO of DvSum, helping companies add data intelligence to fuel their digital goals.

Aashish has 20 years of experience across Data Management, Data Analytics, and Data Engineering bringing data-driven processes and technologies to enterprises.

A thought leader in Data and AI,  his mission is to have data teams spend less time finding and managing data and more time delivering timely and accurate insights to business.

Before DvSum, Aashish worked in Supply Chain and Fortune 500 companies to enable data-intensive advanced planning and forecasting solutions.

Session 4: The Data Cookbook – Deliver Full-featured Data Intelligence in a Pragmatic and Affordable Solution

The Data Cookbook was designed from the beginning to provide everything you need to create data literacy without breaking the bank.  Originally built for the budgets of higher education institutions and non-profit organizations, it is our goal to provide the value of the Data Cookbook to all types of organizations. We believe that your people should be spending your time curating and managing your data rather than administering a tool.  The cloud-based solution offers a complete data catalog and data governance framework that can be implemented rapidly and easily.  This session will cover how the Data Cookbook applies a just-in-time data governance approach that brings a customer-service focus to managing and curating your data knowledge.  We will review features that include data system inventory, data catalog, secure integrated metadata discovery, business glossary, reference data, report/ETL catalog, lineage, data quality monitoring, and much more. More info at www.datacookbook.com.     

Brian Parish

CEO & Founder of IData

Brian Parish is the CEO and Founder of IData.  Brian spent many years working in administrative data system development, system integration, and data analytics before deciding in 2008 to apply the lessons-learned to pragmatic data governance best-practices and a tool to support them. Brian has worked with and learned from over 700 organizations while helping them to better understand, manage, and use their data.  Brian currently lives in Alexandria Virginia with his Wife, three daughters, and office-dog.

Session 5: The 3 Must-Haves for Every Data Catalog

Do these questions sound familiar?

  • What does this data represent?
  • Where is this data coming from?
  • Who is responsible for this data?
  • How can I use this data?
  • Why is it taking me so long to get answers to these questions so I can effectively use the data?

They probably do, and that’s why you’ve decided to start your journey to find the perfect data catalog for your organization.

But what capabilities are critical to ensuring that a data catalog can help them answer these questions independently and enable them to maximize the value of data? Join Octopai’s demo of its self-creating and self-updating data catalog to find out the answer.

Amichai Fenner

Product Manager – Data Catalog, Octopai

Before joining Octopai, Amichai had years of experience as a full stack BI & Data expert. Amichai has expertise in Data & Analytics methodology and architecture as well as technical skills in different Data tools, from ETLs to reporting and analytics. As a product manager at Octopai Amichai is in charge of the development of the data catalog.

Amichai has a BA in Business Administration and Finance.

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