2nd Watch Debuts Analytics Service for Data-Driven Companies
Ready-to-deploy data lake connects to key data sources; scales to hundreds or thousands of datasets, providing users with the centralized analytics, metrics, and reports.
Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.
2nd Watch, a professional services and managed cloud company, has launched a new analytics service for enterprises that want to make more informed, data-driven decisions. Leveraging serverless tools and battle-tested over dozens of successful deployments, the new DataOps service is a fully managed offering that aligns a company’s business goals with its data, providing users easy access to fresh insights from previously siloed sources.
“Transforming an organization to be more data-driven requires an evolution both in technology and culture. Data initiatives die without a guiding business objective,” said Robert Whelan, practice manager of data engineering and analytics at 2nd Watch.
The 2nd Watch DataOps service begins with highly trained 2nd Watch consultants working side-by-side with a client to identify their primary business objectives. Once the objectives are clarified, 2nd Watch will use serverless offerings to connect a client’s primary data sources. These services are all cloud-native and fully managed by 2nd Watch, enabling users to focus on creating business value rather than managing servers.
The service covers everything from governance to data exploration and storage while working with a company’s existing identity store (Okta, ActiveDirectory, etc.), plugging into any BI tool, and handling structured, semistructured, and unstructured data of any volume. 2nd Watch uses data lake tools to secure a company’s data using sensible role definitions such as business analyst and data engineer. The service uses a classic three-zone data lake on cloud storage. Data is automatically compressed and archived to minimize storage costs. Only the most important “data marts” -- approved datasets -- get loaded into more costly cloud data warehouses, minimizing cost and complexity for the client.
More information about the 2nd Watch DataOps service can be found here.