IBM DataStage with it’s line data quality capabilities, plays a critical role in the flow of trusted data from across the business into a data catalog that users and AI turn into better decisions. Netezza Performance Server provides both the heft to deal with high volume feeds from DataStage, and the agility to support end user demands for data.
Join this webinar to learn about customer use-cases and how this end to end solution optimizes your data warehouse costs by only paying for the resources to store data that you used and trust for your business
Virginie Grandhaye is Offering Manager for DataOps Connectivity. She’s in charge of the connectivity strategy, with regards to Data Integration, in IBM Data And AI organization. Previously, she used to drive a different suite of products, within IBM, in the Analytics space. After 15 years spent contributing first and driving the strategy for Operations Research products, Virginie is also teaching in high schools about business applications of analytics, digital transformation and data science.
Anson Kokkat works at IBM as an Offering Manager/ Product Manager in the Data and AI Group. Anson’s professional career spans more than 20 years where he spent time working on application development technologies related to database and data warehouses. He has an extensive background working as a product manager creating next-generation databases related to Netezza and Cloud Pak for Data, real-time analytics, and IoT.He has written many articles and whitepapers related to his expertise, presents at many industry conferences, and continues to work with sales, marketing, development, and especially customers out in the field.