What is big data and why should you care?
Discover how innovative new technologies enable IT to use big data analytics to generate higher levels of insight, resulting in significant competitive advantages.
- Hadoop Common: The common utilities that support the other Hadoop modules.
- Hadoop Distributed File System (HDFSâ„¢): A distributed file system that provides high-throughput access to application data.
- Hadoop YARN: A framework for job scheduling and cluster resource management.
- Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.
MadeIT mines data for actionable business insights
Learn how MadeIT is developing systems that analyze big data, providing deeper and richer insights into their business patterns and trends to drive competitive advantage.
Use the cloud as a structure to support big data analytics
Clouds are deployed on pools of server, storage, and networking resources and can scale up or down as needed. Discover how MadeIT can use cloud computing as a cost-effective way to support big data analytics projects.
Five steps IT managers can take to move forward with big data analytics
Get started with Apache Hadoop* software. This practical guide for IT managers can help you plan and implement big data analytics projects.