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This planning guide provides valuable information and practical steps for IT managers who want to plan and implement big data analytics initiatives, including:
• The changing IT landscape for big data and the challenges and opportunities associated with this disruptive force
• Big data technologies with a focus on the Apache Hadoop* framework and in-memory analytics
• The importance of putting the right infrastructure in place for an optimal big data deployment.
• Three basic “next steps” and a checklist to help IT managers move forward with planning and implementing their own big data project
Introducing an automation tool for rapidly preparing data for analysis so scientists can speed mining.
How businesses can use its versatility and scalability to mine answers through object relationships.
Paul Kent discusses SAS’s approach to big data, how integrating analytics will change the market.
SAS’s Paul Bachteal discusses self-service data analytics and delivering faster real-time insights.
Key findings from big data analysis research.
Intel and Oracle work together to help you acquire, organize, and analyze the flood of structured and unstructured big data coming into your business.