Data Fabric, Data Mesh, Data Lake, Data Warehouse, which one do you need, or do you need all of them

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When:  May 26, 2022 from 02:00 PM to 03:00 PM (ET)
Got questions? Join IBM experts and help us take over the discussion forum on May 26 at 2pm Eastern/11am Pacific for a whole hour of AMA (Ask Me Anything).  Our topic is Data Fabric, Data Mesh, Data Lake, Data Warehouse, which one do you need, or do you need all of them?, and we've arranged for experts from across IBM to be on hand to answer your questions.
  
Our experts will hop on the Cloud Pak for Data Community discussion forum at the designated time and start answering your questions. 
If you can't be online during the hour, don't worry; you can post your questions in advance and read the responses later.  To post a question in advance or during the event, add a reply to the Questions for AMA: Data Fabric, Data Mesh, Data Lake, Data Warehouse, which one do you need? forum post  (be sure to reply to the parent post to add your new questions).
  
Will you be joining us? Add this event to your calendar, and we'll "see" you in the Cloud Pak for Data Community discussion forum on May 26th at 11:00 am Pacific/2:00 pm Eastern!  This event will take place entirely in the discussion forum, so there is no meeting to join.
  
Trent Gray-Donald 
Trent is an IBM Distinguished Engineer in the IBM Data and AI organization. He is an architect focusing on data fabrics, integration, consistency and reuse across divisions. He’s spent the last 10 years focusing on analytics, especially around Big Data (Spark, Hadoop) and building out the IBM data and AI platform. Before that, he was technical lead on the IBM Java 7 project.
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Martin Oberhofer
Martin is an IBM Distinguished Engineer in the Data & AI organization where he recently picked up the role of development director for Watson Knowledge Catalog and Match 360 product families. He has 20 years of experience in Data & AI and focused in the last 15 on data governance, data integration and master data management which are all key components of our current Data Fabric strategy. He is also interested in graph and ontology technologies supporting the knowledge graph layer for Data Fabric.
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Joshua Kim 
Joshua Kim is the Program Director for Big Data and Analytics portfolio at IBM Data and AI. With years of experience with IBM in product management for Data Warehousing, Db2 and Netezza, he is passionate about data management, and enjoys engaging with clients directly to help solve their challenges. Joshua loves reading up on new and emerging technologies, and how to apply them to the IBM technology stack. 
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David Kalmuk
David is a Senior Technical Staff Member & Master Inventor in the Data & AI organization where he focuses on Data Warehousing for the Db2 family products. He has contributed to the development of a number of key technologies in Db2 over the years including BLU Acceleration, Workload Management, and Db2’s MPP Cluster Scale-out. He is currently leading efforts focused on evolving Db2's Cloud Data Warehousing Architecture.
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