Resources / News / Sandesh Gawande to speak at Chief Data & Analytics Officer Exchange in Toronto
Sandesh Gawande to speak at Chief Data & Analytics Officer Exchange in Toronto
Sandesh Gawande, CTO – iceDQ has been invited to speak at Chief Data & Analytics Officer Exchange held in Toronto, Canada. The CDAO Exchange is a unique, invitation-only meeting driven by pre-scheduled one-on-one workshops (business meetings) between pre-qualified solution providers and senior decision-makers. Thought provoking conference sessions, executive roundtables, and innovative networking opportunities round out the agenda, resulting in three days of focused, structured business development and information exchange.
The Chief Data & Analytics Officer Exchange gives exclusive access to advanced industry thinkers, valuable insights & creative business solutions. The delegates are hand-picked for the unique advantage they bring to each Exchange, creating an unparalleled level of discussion and an ideal environment for idea generation.
Sandesh Gawande will be taking an Ignite session & speaking on “DataOps Automation“. Ignite sessions will inform delegates of new technologies and trends that top CDAOs are leveraging to bring value to their organizations.
About iceDQ:
iceDQ is an ETL testing & monitoring software developed by Torana Incorporation. It is a DataOps Automation Software for ETL Testing and Data Migration Testing as well as a Data Quality Governance platform for enterprises, particularly designed for Data Lake/Data Warehouse Test automation, Data Migration Test automation to the Cloud, and Big Data and Production Data monitoring. Reports generated by iceDQ help businesses with better decision making.
About Sandesh Gawande:
Sandesh Gawande leads the technology effort of iceDQ. His current focus is Big Data, Spark, Data Catalog and implementation of iceDQ in Cloud. He believes data architects ignore data testing for both ETL and data migration, and this causes immense costs to enterprises. He focuses on evangelizing iceDQ implementations for various clients and implementing DataOps and CICD pipeline for Data-Centric projects.