As “data as a product” is one of the highlights of data mesh, these panelists will also chat about how organizations are democratizing their data to an increasing number of consumers, and expanding use cases, and what it means to have a data culture.
Finally, they’ll discuss data security and privacy regulations. Are they an obstacle, or perhaps an accelerator to managing data as a product?
Don’t miss this lively discussion to find out!
Save Your Spot:
Paige Bartley –
Paige is a Senior Research Analyst for the Data, AI & Analytics Channel at 451 Research, a part of S&P Global Market Intelligence, covering core data management topics. Key themes include data privacy, data governance, data integration, metadata management, data quality and master data management. She has experience covering a broad range of technologies spanning the Data, AI & Analytics stack, from databases to self-service analytics.
In her current research, Paige is analyzing the need for information governance to maximize the value of enterprise data amid proliferating global regulatory requirements and rising consumer expectations for data stewardship. With data privacy and compliance as a specialty focus, Paige explores how the enterprise can align technical requirements with business strategy, enabling more profitable and compliant leverage of data.
Sanjeev Mohan –
Sanjeev is an established thought leader in the areas of cloud, big data, and analytics. He researches and advises on changing trends and technologies in the modern cloud data architectures. He started his data and analytics journey at Oracle, where he worked on emerging technologies. Until recently, he was a Gartner vice president known for his prolific and detailed research, and for directing the data and analytics agenda. Now a principal at SanjMo, he provides advisory and consulting services, covering modern data architectures, governance and operations. He regularly presents on topics pertaining to end-to-end data pipelines and is excited to help businesses discover what their data can do for them.
Nong Li –
Nong co-founded Okera in 2016. Prior to that, he led performance engineering for Spark core and SparkSQL at Databricks. Before Databricks, he served as the tech lead for the Impala project at Cloudera. Nong is also one of the original authors of the Apache Parquet project. He has a bachelor’s in computer science from Brown University.