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About the Webinar
Enterprises across all sectors have invested heavily in big data infrastructure in the cloud. All too often, these mission-critical systems struggle to meet critical SLAs. Without proper procedures and tools, organizations will be penalized in lost productivity or financial penalties for missing SLAs.
Join us for a practical discussion on techniques to quickly pinpoint and resolve issues, with Sandeep Uttamchandani, Chief Data Officer & VP of Engineering at Unravel Data. Sandeep will take us through a deep-dive discussion on issues managing complex data pipelines in various cloud services and lessons in transforming the data platform to becoming self-serve for citizen data users.
- Best practices for process-driven data operations
- Big data cluster optimization techniques
- Top common issues and resolutions for cloud data operations
- Self Service Root Cause Analysis
- Maximizing data pipeline cost-efficiency
About the Speaker
Chief Data Officer & VP of Engineering, Unravel Data
Sandeep brings together two decades of experience across Intuit, IBM, and VMWare. He has experience both in building enterprise software as well as running petabyte-scale data platforms for analytics/AI. He was the Chief Data Architect at Intuit, where he led the transformation of the petabyte data/AI platform used by the $3B QuickBooks product-line for Data ML products and business process analytics. Sandeep has 42 issued patents, 25 conference publications, and is an author of an upcoming book on building self-serve data platforms.