Composing Your Customer Data Platform on a Modern Lakehouse Architecture
Webinar Speaker: James Kobielus, Senior Research Director, Data Management
Date: Tuesday, September 12, 2023
Time: 9:00 a.m. PT / 12:00 p.m. ET
Composability is a key feature of modern enterprise cloud data architectures. Composable cloud architectures are built from reusable functional components that are specialized for particular purposes. They eliminate the need for monolithic migration of enterprise IT assets to new platforms, operating environments, and application suites when enterprises evolve their data architectures.
As organizations add more data-driven capabilities to their application ecosystems, a composable architecture enables functional microservices—such as ETL, governance, and analytics—to be easily mixed, matched, and changed out to address changing requirements and to keep a lid on capital expenditures and operating costs. This architecture supports more agile scaling of compute, storage, memory, and other resources to support growing data-intensive workloads across cloud infrastructures of increasing complexity. Plus, it enables unified development, orchestration, and management of sophisticated data-driven applications, such as artificial intelligence and advanced analytics, within an API-centric ecosystem.
Modern customer data platforms are built for composability. The best customer data platforms run on composable, cloud-based lakehouse architectures, which converge the business analytics functionality of a data warehouse with the data science capabilities of a data lake. Join TDWI senior research director James Kobielus in this webinar to discuss how leveraging a modern lakehouse architecture can help organizations build powerful customer data platforms for sales, marketing, and other mission-critical applications.
After context-setting presentations, Kobielus and invited guests will engage in a panel discussion of the following issues:
- What is a modern composable data architecture? How does a composable data architecture compare with a bundled architecture?
- What do enterprises gain by deploying their composable customer data platforms on lakehouse platforms? How does a lakehouse-based customer data platform enhance the experiences of such key enterprise stakeholders as marketing analysts, salespeople, application developers, and IT professionals?
- What capabilities are essential for a modern lakehouse-based customer data platform? Can a lakehouse-based customer data platform operate effectively across hybrid cloud/on-premises enterprise IT infrastructures? How important is a self-service no-code programming abstraction to unlocking the full business value of this platform?
- When should you build your own lakehouse-based customer data platform versus acquiring the capability through a SaaS-based offering?
- How should you migrate legacy customer data platforms to the chosen lakehouse-based modern cloud architecture?
Global Industry Leader for Communications, Media & Entertainment
Steve Sobel is the Global Industry Leader for Communications, Media & Entertainment at Databricks where he is charged with solution development, customer/partner engagement and account support and for some of the world’s most prominent media & entertainment organizations spanning agencies & advertising, broadcasting & film, publishing, gaming, sports & entertainment and new media. Steve works closely with strategic customers across the globe to translate what Databricks does and closely align platform use cases to help industry customers drive revenue and operational efficiency through more efficient use of their big data with Databrick’s Unified Data Analytics Platform.
Steve joined Databricks in July 2019 after 6 years at Salesforce where was the Global Go-To-Market Leader for Media and Communications. Steve led a global team of industry experts focused on business development, key account support and partner strategy. Prior to Salesforce, Steve was on the executive team of an Omnicom agency in the entertainment space where he was responsible for business development and marketing strategy. Steve holds a Masters degree focused on Communications and Public Affairs and a Bachelors degree in Political Science and Sociology, both degrees from The George Washington University.
Head of Product Marketing
Michael Trapani is an accomplished marketing executive that has stewarded admired brands such as Apple and IBM. He has decades of experience leading global marketing, sales, and strategy organizations, leading to successful exits through venture capital, private equity, and public acquisitions. Today, Michael leads Product Marketing at ActionIQ. In his spare time, he enjoys hiking, spending time with his family, and reading boring history books.