How an Open Data Lakehouse Increases Flexibility to Expand Analytics and AI with Lower TCO
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Wednesday, May 17, 2023
Time: 9:00 a.m. PT / 12:00 p.m. ET
Establishing a unified data lakehouse is a major trend as organizations face costly challenges due to disparate data silos and accelerating growth in data volume and variety. By bringing together the strengths of a data warehouse and data lake, you can support a spectrum of analytics workloads—from business intelligence reporting with carefully structured data to exploratory analytics and AI/ML with unstructured and semistructured data—on one platform with a lower total cost of ownership (TCO).
However, TDWI finds that organizations are concerned about potential platform lock-in and lack of flexibility. Being adaptable to business change puts a premium on having agile data management across hybrid data environments that include on-premises systems, private clouds, and often more than one cloud provider’s platform.
Join this TDWI Webinar to learn how you can deploy an open data lakehouse to gain the benefits of a unified data platform based on open system standards. An open data lakehouse enables you to avoid proprietary lock-in and have critical flexibility to move data anywhere across hybrid environments. Whether you have one cloud platform or a hybrid multicloud environment, it can provide a consistent experience.
Topics we will discuss include:
- Trends in emerging open source standards for data lakehouses such as Apache Iceberg
- Reducing total costs and complexity associated with data duplication and fragmentation
- Examples of multifunction analytics with an open data lakehouse
- The role of metadata layers, repositories, and data catalogs in the lakehouse architecture
- How an open data lakehouse fits with data fabric and data mesh trends
Director, Product Marketing, Data Warehouse
David leads product innovation with a focus on modern data architectures such as data mesh, fabric, and lakehouses for Cloudera. David has over 30 years of experience in data management, data ecosystems, information architecture, and enterprise architecture. David has a passion for helping businesses and people make data into transformative insights that lead to product and market acceleration and disruption. Before joining Cloudera, David worked for companies such as Sybase, SAP, and Hewlett Packard Enterprise.