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Session title: An Introduction to the data lakehouse architecture and IBM watsonx.data
Session abstract: The data lakehouse is the latest architecture in the evolution of data management. However, it’s not likely to replace existing data warehouses and will instead bring value by augmenting and optimizing them.
As such, it’s important that data professionals understand the lakehouse architecture and its components – many of which are open-source. This includes object storage, open data file and table formats (e.g. Parquet, ORC, and Iceberg), metastores, and query engines. Even Db2 is embracing some of these technologies, for the purposes of better integration with data lakes and data lakehouses. In this session you’ll be introduced to the data lakehouse architecture and the common components seen across lakehouse vendors, with a primary focus on IBM’s data lakehouse platform, watsonx.data.
Speaker bio: Kelly Schlamb is an Executive IT Specialist in the Worldwide Technology Enablement and Learning team. Kelly’s 30-year career at IBM has included roles in product development, technical sales, and enablement, where he has focused on database technology, big data, data management, cloud, and artificial intelligence. During his time in Db2 development, he designed and implemented numerous features in the areas of storage management, buffer pool services, logging/recovery, and pureScale. His current focus is watsonx.data, IBM’s open data lakehouse platform. Kelly is a frequent presenter at conferences and user groups worldwide.