According to a recent survey conducted by Aberdeen Research, an average company is experiencing over 50% growth in data volume every year. Additionally, companies are on an average using 33 disparate sources of data for their various analytical use cases.
With increasing volume and complexity of data, there is increasing pressure on CIOs to look for solutions beyond the traditional data warehouses.
Companies are increasingly looking towards Data Lake technology and analytics. Early adopters of data lake technology are citing benefits, such as:
- Improved operational efficiency
- Improved access to departmental silos and mainframe or legacy system data
- Lower transactional costs
- Offloading capacity from existing data warehouses and mainframes
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