Sept 30 Demo Day – Enterprise Data Management

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DATE: September 30, 2020

TIME: 8:00 AM – 12:45 PM 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: EASY Data Warehousing Using Pyramart

Come learn about Pyramart, the newest, most exciting innovation in the Data Warehousing Automation space, where we’ll build a fully functional data warehouse in only 15 minutes using software robots and intelligence.

Dan Bruns

Founder, Pyramart

Dan Bruns has more than 20 years of data warehousing experience, including building, running, and leading large-scale data warehousing initiatives in the IT and business arenas at corporations including Universal Studios, Bank of the West, Ancestry.com, and American Express.   

Session 2: Accelerating and Enhancing Your Cloud Data Warehouse with Talend

Learn how to maximize your investment by leveraging three cool, recently enhanced capabilities in Talend that better enable data professionals to connect to and accelerate the return they receive from their preferred cloud data services. In this session, we will show you how Talend can optimize connectivity, scalability, and usability with key AWS data services such as Amazon Redshift, Amazon RDS, Amazon EMR, and others.

Cameron Davie

Partner Solutions Architect, Talend

Cameron works as a technical advisor and consultant with Talend’s most strategic technology partners, understanding and sharing the details of the technical integrations between Talend and our partners’ array of products and platforms.

Session 3: Embedded Data Virtualization – Universal Data Connectivity for Any Application

As businesses move along the path of digital transformation, data fragmentation presents a rising challenge.  With the growing adoption of SaaS applications and cloud technologies, critical data is more decentralized than ever, siloed away behind an array of APIs and services.

In this session, we will explore the growing fragmentation problem and see how standards-based data connectivity allows enterprises to easily integrate with disparate data and focus on those practices that drive business.

Join us to discover:

  • Embedded Data Virtualization – what it is and where can it be used
  • The value of abstraction and standards-based connectivity
  • How to quickly and easily embed federated query support into BI, Analytics, and custom Apps

Jerod Johnson

Technology Evangelist, CData

Jerod moved through life as a high school math and computer science teacher, developer support engineer, and software developer before landing in his current role as a technology evangelist, writing about, demo-ing, and presenting data connectivity solutions for CData. In the wild, you’ll find Jerod spending time with his wife and kids or gathered around a table with friends playing board games.

Session 4: Trust Your Data and Set It Free with an Enterprise Data Catalog

Data is the lifeblood of organizations, but business analysts, data scientists and other knowledge workers struggle to discover and access the data they need to make data-driven decisions. But while providing easier access to data is important, it’s also crucial to remember that data is only as valuable as it is trusted. This is where enterprise data catalogs can help. Enterprise data catalogs help users not only to find data, but also to understand and trust the data. They also ensure that data is made accessible with the appropriate controls and in accordance with data policies. Because enterprise data catalogs combine easy access to trusted data with security and privacy controls, they empower organizations to use their data in new and innovative ways. Join us to learn more about Collibra’s enterprise data catalog and how it can help you enable access to trusted and compliant data at scale for your organization.

Nidhi Teerdhala

Director of Product Marketing, Collibra

Nidhi leads product marketing and go-to-market strategy for Collibra Data Catalog and Data Lineage. Prior to Collibra, she spent most of her tech career at Salesforce where she held a variety of roles in product marketing, customer marketing, and sales enablement. Most recently, she was head of product marketing at mParticle, a customer data platform. She holds an MBA from the University of California at Berkeley’s Haas School of Business and bachelors degrees from University of Pennsylvania’s Wharton School and School of Engineering & Applied Sciences. 

Ben Moser

Product Manager, Collibra

Ben Moser is a Product Manager for Collibra, building out the Collibra Data Catalog. He is currently focused on using machine learning and other automation to help users’ structure and understand their data more efficiently.

Session 5: Think Bigger About Data Governance and Achieve Broader Benefits

According to Gartner, Enterprise Data Management is an absolutely critical component in any organization’s data and analytics initiatives. But, as our recent State of Data Governance research showed, lack of automation is a major obstacle for many leading enterprises. 

In this session, you’ll see the erwin Data Intelligence Suite in action, featuring our Data Catalog and Data Literacy applications. erwin DI is the industry’s most automated Data Governance solution, with intelligent data harvesting, AI-powered semantic matching, and so much more, designed to reduce the time to insight for every organization. 

Sam Benedict

Vice President of Solution Strategy, erwin

Sam is responsible for aligning customer needs with the enterprise modeling and data intelligence capabilities of the erwin EDGE platform, including creating or enhancing comprehensive and sustainable Data Governance programs.

With an MBA, technology management degree, and more than 25 years of technology experience, he knows how to implement Enterprise Data Management, Data Governance, and system development lifecycle improvements to make clients’ strategies successful realities.

Sam’s broad industry expertise includes working with global telecommunications, healthcare, and manufacturing companies to uncover and track their data, understand it within the correct contexts, and maximize its quality, security, and value.


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