Maryela Weihrauch

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.   

DB2 for z/OS continues to deliver SQL enhancements that allow you to perform analytics against your mission-critical data. Did you know that DB2 supports various analytics like RANK, CUBE, ROLLUP, moving averages and moving sums? What if DB2 could perform MEDIAN, PERCENTILE, and LISTAGG? This session will focus on SQL specifically enhanced for performing analytics. Who knows, maybe you can simplify your applications by letting DB2 do the work for you.

The companies that derive more information from the available data will be ahead of their competitors. The Extract-Transform-Load ETL process is executed to make that data consumable for analytical processing.
Maryela discusses the challenges of typical ETL processing today and walks through Db2 and IDAA functionality to optimize data transformation and introduces the concept of real-time data transformation. 

Ever new application development paradigm become popular. Maryela will provide an overview of  application development trends with access to DB2.