105

• IDAA V5
• IDAA on IIAS

5 implementation tips to drive the most value from Db2 12 for z/OS Function Levels

This intermediate level presentation quickly covers the history of compression in Db2 for z/OS, from V3.1 to Db2 12.  We will review the original tablespace row compression, index compression, LOB compression, and Huffman compression, with a glance at some application performance considerations.

This presentation describes novel approaches to successfully deploy Data Mesh solutions with a focus on IBM zSystems, specifically Db2 for z/OS and other zSystems data. A Data Mesh – underpinned with a Data Fabric architecture – views data primarily as organized around domain owners who create business-focused data products, which can be aggregated and consumed across distributed consumers, organizations, and LoBs in a self-service and shopping-for-data fashion. Focusing on intelligent cataloguing with IBM Watson Knowledge Catalog and its new integration with Db2 Data Gate, we describe key AI-based Data Mesh concepts, such as automated metadata enrichment, data quality assessments, establishing a data marketplace, intelligent information integration, active metadata exploitation, and leveraging the digital exhaust.   

An Open Data Lakehouse is a new architecture that integrates traditional data warehouse and data lake concepts to accommodate various big data use cases. This presentation describes the IBM Data Lakehouse approach with its key components: (a) the Presto SQL engine for data analytics and the open lakehouse, (b) the metadata and governance layer, and (c) ACID support to access a variety of object storages (Amazon S3, MS Azure DLS, IBM COS) via the Apache Iceberg table format. Emphasis is on the integration of Db2 for z/OS and other zSystems data (VSAM and IMS). The presentation includes a demo of the solution.