Data architects are increasingly tasked with provisioning quality unstructured data to support AI models. However, little has been done to manage unstructured data beyond data security and privacy requirements. This session will look at what it takes to improve the quality of unstructured data and the emerging best practices in this space.
talk-data.com
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Speaker
Ramke Ramakrishnan
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talks
Ramke Ramakrishnan is a results-driven technology leader with broad-based experience in driving data management strategies and delivering excellence through research, innovation, advisory and agility for Technology Professionals. Mr. Ramakrishnan helps IT organizations modernize their data platform and advice on the optimization, best practices and continuous improvements on the architecture, design and deployments of data lakes, data warehouse applications in operational and Analytical databases, data processing frameworks such as Hadoop, Kafka, Spark and specialized databases such as NoSQL and Graph database. He provides technical expertise in a variety of data management principles such as data integration, orchestration, database management, data virtualization, metadata management, data security, data governance and advanced analytics using machine learning and artificial intelligence, thereby enabling technology professionals to build "best in class" analytical applications and data-driven decisions, strategies for management and deployment.
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It's now easier than ever for less technical users to access, manage and analyze data without needing help from IT. But, self-service data management isn't always straightforward, and there are plenty of pitfalls, like data quality issues, skills gaps and governance concerns. This session will cover practical ways to make self-service data management work.