As a company that touts the benefits of a full end-to-end BI solution, we certainly know the value of a data engineer. The data engineer’s job is to extract, clean, and normalize data, clearing the path for data scientists to explore that data and build models. To do that, a data engineer needs to be skilled in a variety of platforms and languages.
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There’s been a lot of talk for many years about the significant value of data to the corporation. So much so that we often hear pundits state how data is the new oil of the digital economy. There’s a lot of truth in this assessment. Today, data is the most valuable currency a company possesses.
Many organizations are grappling with how to effectively extract value from the vast, ever increasing amounts of data. According to a survey by Gartner, Inc, 87% of organizations have low business intelligence and analytics maturity
Logical Data Warehouse - the perfect combination of data federation, physical data integration, and a common query language, SQL
A modern data integration strategy employs what’s known as “best-fit engineering”, whereby each part of the data management infrastructure utilizes the most appropriate technology solution to perform its role