Fit-for-purpose big data platforms will play together under virtualization
James Kobielus is IBM Senior Program Director, Product Marketing, Big Data Analytics solutions. He is an industry veteran, a popular speaker and social media participant, and a thought leader in big data, Hadoop, enterprise data warehousing, advanced analytics, business intelligence, data management, and next best action technologies.
Fit-for-purpose big data platforms will play together under virtualization
Four key steps every enterprise roadmap should include
Why enterprise data warehousing best practices are a good yardstick for evaluating big data efforts
Why predictive modeling of human behavior demands an end-to-end, low-latency database architecture
Analyzing data in motion is a critical capability in a balanced big data infrastructure
Scaling from the macro to the nano levels is the key to powerful performance
A suggested framework for Hadoop industry standardization
Today’s Hadoop market lacks unifying standards and vision
Making your big data deployment truly enterprise-grade
How Hadoop complements data warehouses to create a powerful converged platform
Drilling through petabytes of actionable intelligence
Focus on tactical consolidation for specific analytic purposes and data sources