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Cloudera Cloudera

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Date: On Demand Time: Now

Your Cloudera Data Warehouse enables you to analyze more types of data faster while ensuring critical reporting needs and SLAs are met. However, unless you have a  complete view of what’s running across the millions of queries and hundreds of data sets, you might not know what disruptions are lurking. You are powerless in detecting issues that cause outages and missed commitments.  How do you know where to focus your efforts?

Cloudera Workload XM provides enhanced visibility and actionability to efficiently migrate, analyze, optimize, and scale workloads. Users experience reduced migration risk, faster troubleshooting and root cause analysis, greater uptime, and higher resource utilization.

Hear from Anupam Singh, together with Raman Rajasekhar, as they share their experiences using Cloudera Workload XM to help customers maintain, optimize, and protect their data warehouses.

In this session, you will learn how Workload XM can save your data warehouse by:

- Analyzing and monitoring workloads to proactively detect possible concerns

- Prescribing and automating tuning and balancing for optimal performance

- Managing SLAs and eliminating bottlenecks with dynamic capacity planning



Chief Customer Officer

Anupam Singh


Anupam is chief customer officer and general manager, Analytics, at Cloudera. Anupam was the co-founder and CEO of, which Cloudera acquired in 2015. Xplain technology accelerates self-service BI with a massively scalable SQL workload analyzer. Prior to Xplain, Anupam was the co-founder and CTO at Joviandata, a pioneer in combining the power of Hadoop and the cloud. Joviandata was acquired by Marketshare, where Anupam led the effort to combine machine learning techniques with Hadoop-based data warehousing. Anupam built his database expertise on the SQL Query Optimizer teams at Oracle, Sybase (now SAP), and Informix (now IBM). He graduated from Pune University in India and holds patents in the areas of automatic SQL performance tuning, object databases, and resilient query execution.

Product Manager, Cloudera Data Warehouse

Raman Rajasekhar


Raman specializes in building Machine Learning, Predictive Analytics, and Data Management products, and has a passion for creating and implementing high-performance algorithms for massively parallel processing (MPP) and Big Data platforms. Raman has over 15 years of international experience in R&D, product development, data science & machine learning, and engineering with a deep understanding of healthcare, financial and high-tech manufacturing domains.


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