Data Engineering

Governing for digital transformation and growth

Ask a CIO where their focus lies and ‘digital transformation’ as well as ‘growth’ will come into the conversation quite quickly. The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending…
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Cloudera Altus is Now Available on Azure

It was exactly one year ago at Strata London that we introduced the world to Cloudera Altus Data Engineering. The premise was simple: make it quicker and easier for customers to drive data to their machine learning and analytics services…
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Altus SDX: Shared services for cloud-based analytics

The real power in machine learning and analytics is when multiple analytics disciplines are able to work together in concert, sharing data in service of solving more complex and more valuable questions. That’s what Cloudera SDX (Shared Data Experience) enables…
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Breaking down data silos: when SAP alone is not enough

Running a large company is impossible without having an ERP system in place, and SAP business software remains at the forefront in this category. But when companies are looking towards new technologies such as data lakes, machine learning or predictive…
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Data Engineering is Critical to Big Data Success

I mentioned in an earlier blog titled, “Staffing your big data team,” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. And the longer…
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