Blueprints for Big Data Success
Product: Data Integration, Big Data Analytics
Though the big data opportunity is growing rapidly, research indicates that the top two big data challenges that organizations face are determining how to get value out of big data and defining a big data strategy, respectively. In light of these challenges, this piece intends to identify and explain big data use cases generating business results for companies today, and shed light on emerging use cases expected in the near future. This whitepaper address what these use cases are, why companies are investing in them, and their common reference architectures.
Learn how to succeed with four common big data scenarios:
- Data Warehouse Optimization - How to reduce data warehouse costs and improve performance
- Streamlined Data Refinery - How an agile data integration process can significantly reduce development time for mapReduce by 15x over typical handcoding and scripting processes
- Customer 360 Degree View - Why blending a variety of operational and transactional data sources to create on-demand analytical views can identify new revenue opportunities
- Monetize My Data - How it's possible to use internal data to deliver high-value data sets to external customers
"IDC estimates that the amount of useful data worldwide will increase 20x between 2010 and 2020, while 77% of the data relevant to enterprises will be unstructured through 2015. *IDC Digital Universe Study, 2012"