Learn about Cloudera's perspective on data warehouse optimization
Today, modern data warehousing has evolved to meet the intensive demands the newest analytics require to be data-driven. Traditional data warehouse vendors may have maturity in data storage and modeling, yet, these legacy solutions can no longer cost-effectively meet new demands. Outlook Series' Michael Lippis interviews David Dichmann and Raman Rajasekhar to gain their perspectives on data warehouse optimization. They address many key topics including:
- The needs a modern data warehouse fulfills
- The most common workload types that typically need optimization
- The use cases for an organization to scale their data volume
- How organizations can better understand their migration efforts
- Some favorite customer success stories