
Using Data Mesh to Advance Distributed Data Access, Agility and Governance
Join this live fireside chat to learn about using Data Mesh to Advance Distributed Data Access, Agility and Governance.
read moreHow can ‘Data processing and querying in the Data Lake at scale’ can be improved? Given that our Data Lake supports hundreds of customers with wide (thousands of columns), heavy (10 and 100 TB of data), and fast changing (thousands of appends/deletes/etc) datasets, we need reliability and scalability for a fast changing data environment. At Adobe Experience Platform we try to use the right tools for the right use case. So for our Data Lake, we chose to Apache Iceberg as our core foundation and Hyperspace as our indexing subsystem. In this session, Andrei Ionescu explains how Hyperspace integrates with Iceberg and other formats to speedup the processing time while keeping the data consistent and performant. Watch to the end of the talk to see a demo of Apache Iceberg and Hyperspace.
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Join this live fireside chat to learn about using Data Mesh to Advance Distributed Data Access, Agility and Governance.
read moreThe data lakehouse is a new architecture that combines the best parts of data lakes and data warehouses. Learn more about the data lakehouse and its key advantages.
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