The race is on when it comes to using enterprise data for competitive advantage – in nearly every industry. The faster you make your managed data lake operational, the sooner you can get more value from your data: develop new products and services, provide better customer experiences, identify incremental revenue streams, and more.
Typically it can take at least six months to stand up a data lake, hydrate it and make it ready for business users. To significantly slash this timeline to weeks, we’ve launched a new solution designed to make implementing an analytics-ready data lake as risk-free, fast and cost-effective as possible. The solution provides all of the components enterprises need to deploy, organize, govern and access a data lake – and ensures everything is seamlessly integrated. We also provide and support the Hadoop distribution to save you the time and effort it takes to identify and choose a vendor that you can be sure your software supports. And, we bring the technical expertise and insights derived from hundreds of implementations, which is critical in helping companies achieve success.
A cost-effective, DataOps approach
Zaloni Data Lake in a Box does more than make your data lake production ready. It also provides transparency into all data regardless of its location across the organization, including siloed data systems, legacy databases and hybrid architectures. Furthermore, it supports a collaborative framework increasingly being referred to as “DataOps”– a leading-edge strategy to align data managers and data consumers by enabling access while providing centralized control and governance. In other words, our solution is key to helping you balance the priorities of IT (governance, control, data management) with the priorities of business end users (easy access, speed and flexibility).
The all-in-one Zaloni Data Lake in a Box solution includes a Hadoop distribution and support, the Data Lake Management and Governance Platform, the Self-Service Data Platform, ingestion services, and enablement and support. We are offering tiered pricing based on number of cores and file types.