DATE: June 15, 2022
TIME: 8:00 AM – 12:45 PM Pacific / 11:00 AM – 3:45 PM Eastern
PRICE: Free to all attendees
Welcome to DATAVERSITY 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’s success.
Register to attend one or all of the sessions, or in order to receive the follow-up email with links to the slides and recordings.
Session 1: Achieving Self-Service Analytics with a Governed Data Access Layer
We have all heard about corporate Self-Service initiatives, or maybe your company has even attempted to implement one. With the evolution of the data landscape, we have become data-driven, when we should be information-driven because data without context lacks meaning. Data that has meaning is what drives valuable business insights. We need to deliver the right information to our consumers while providing a guided and governed experience across a diverse consumer community.
Attend this webinar to learn:
- What it takes to deploy a successful Self-Service initiative.
- How Governed Data Access Layer enables guided data discovery.
- How Denodo simplifies the security of your most valuable data while making it easy to access for end-users
Sales Engineer, Denodo
Edwin Robbins has been a Sales Engineer with Denodo for over 4 years and has over 25 years working in the Data Management space, primarily focussing on integration and performance.
Session 2: Go Beyond Dashboards – Infuse Analytic and Data Insights Everywhere
It’s time to think differently about data and analytics strategies. While many organizations have progressed from relying on static outputs, generated by dedicated teams, to bring data and analytic insights to knowledge workers everywhere. At Sisense we use terms like infuse and embed to provide these insights inside interfaces that users love. Learn more about:
- The future of business intelligence and how your organization can stay ahead of the curve by thinking about life beyond the task-specific dashboard
- Enhancing your data strategy to get more out of your data
- How organizations are infusing analytics to get information when they need it, and where they need it
Vice President, Sales Engineering at Sisense
Leading Sales Engineering at Sisense, Joe Nelson focuses on outcome-driven solutions that harness the power of the Sisene platform. Joe and his team are passionate about delivering relevant and actionable data insights to customers.
Session 3: Analytics with No Data Movement! How I Stopped Worrying & Learned to Love the Data Lake
Are you filtering and trimming data to keep costs down? Are you sacrificing insights because of short retention windows? Are your most talented technical resources bogged down with data prep, movement, and pipeline management? If you answered yes to any of these questions, there is a better way. During this session, Greg Goldsmith (ChaosSearch’s VP of Product Management) and Dave Armlin (VP of Customer Success) will show you how you can activate your cloud object storage as a hot analytical data lake that supports search and SQL analytics at scale – with no data movement or ETL.
This demo of the ChaosSearch Data Lake Platform will show you how you can:
- Transform your Amazon S3 or Google Cloud Storage into a hot analytical data lake that supports multiple analytics use cases
- Extend log retention indefinitely at dramatically lower cost
- Empower your engineers to virtually clean, prep and transform data with no ETL for dynamic data access
- Use your existing analytics and visualization tools such as Kibana, Looker and Tableau to create more and faster insights
- Quickly create dashboards for data analytics and monitoring
VP of Product Management, ChaosSearch
Greg Goldsmith is a product and ecosystem strategist with 15+ years of history uncovering market opportunities and delivering data analytics & data management software products, capabilities and go-to-market programs that address them. He is a strong entrepreneurship professional with an MBA focused in Marketing and Strategy from the Kellogg School at Northwestern University.
VP of Customer Success, ChaosSearch
Dave Armlin is the VP of Customer Success of ChaosSearch. In this role, he works closely with new customers to ensure successful deployments, as well as with established customers to help streamline integrating new workloads into the ChaosSearch platform. Dave has extensive experience in big data and customer success from prior roles at Hubspot, Deep Information Sciences, Verizon, and more. Dave loves technology and balances his addiction to coffee with quality time with his wife, daughter, and son as they attack whatever sport is in season. He holds a Bachelor of Science in Computer Science from Northeastern University.
Session 4: How to use a semantic layer on Big Data to drive AI & BI impact
Learn about using a semantic layer to make data accessible and how to accelerate the business impact of AI and BI in your organization.
This session will offer practical advice on how to drive AI & BI business outcomes with an effective data strategy that leverages a semantic layer.
You will learn how to achieve quantifiable results by modernizing your data and analytics stack with a semantic layer that delivers an order of magnitude better query performance, increased data team productivity, lower query compute costs, and improved Speed-to-Insights.
Attend this session to learn about:
- Gaining business alignment and reducing data prep for your AI and BI teams.
- Making a consistent set of business metrics “analytics-ready” and accessible.
- Accelerating end-to-end query performance while optimizing cloud resources.
- Treating “data as a product” and how to drive business value for all consumers.
Founder & Chief Technology Officer, AtScale
Dave is the founder of AtScale and is the Chief Strategy Officer. Prior to AtScale, he was VP of Engineering at Klout & at Yahoo! where he built the world’s largest multi-dimensional cube for BI on Hadoop. Mariani is a Big Data visionary & serial entrepreneur.
Session 5: Two Brains Are Better than One: Empower Data with Machine Learning and Human Insight
Dispel the most demanding data-management challenges with the dynamic duo of machine learning and human insight. We’ll reveal how Alation drives data search and discovery, data governance, and analytics so you can spend your time analyzing data to help your organization gain a competitive advantage, rather than spending most of your time trying to find relevant data.
Manager, Sales Engineering, Alation
Michelle is a data analytics professional with experience as an analyst in Healthcare and Telecommunication in Australia, and working with financial crime, internal audit, and regulatory compliance teams primarily within Banking & Insurance firms in the UK, Europe, and the US to implement technology to transform reporting and analytics to support Data Governance, Data management, and Data Analytics initiatives.
Michelle Lam is currently Sr Sales Engineering Manager at Alation, supporting the technical sales team for the US East coast and Public Sector.