Building a Big Data Analytics Warehouse

Enterprises struggle to realize the business value from big data analytics warehouse solutions because they lack the skills to effectively use the open source ecosystem and understand complex data characteristics, multiple use cases, and the nuances of distributed computing. The net result is a paralyzed state that prevents projects from moving into production, marked by inefficiencies and high costs. For enterprises to unleash the value of analytics today and be ready for the future, they must learn the nuances of parallel computing and right-sizing their big data batch processing solutions. They can use the information in this paper to get a high return on investment from their infrastructure at a low total cost of ownership (TCO).