Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
Read the white paper and learn:
- Three important guidelines to follow when optimizing big data integration workloads
- Two primary components that comprise the Hadoop platform
- Five fundamental big data integration best practices
Help your organization minimize risks and costs and maximize ROI for your Hadoop projects.