It’s becoming difficult to keep track of all the new data warehouse solutions that are trying to challenge the current incumbents. Choosing the best data warehouse to meet the needs and objectives of your operation is a crucial component of your business strategy. Unfortunately, many organizations are still struggling with this decision. To add to…
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Photo by ThisisEngineering RAEng on Unsplash 2021 is almost halfway over and it seems like hundreds of millions of dollars has gone into investing in data, data start-ups and machine learning. In particular funding has also shifted heavily from just focusing on the data science and machine learning space to the data engineering and data management…
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Photo by Guille Álvarez on Unsplash With an extensive background in data science, analytics, and cloud computing, I am consistently asked the same questions repeatedly. Besides wanting to know the difference between a data engineer and a data scientist, one of the most common questions is, what skills should I learn as a data engineer?…
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Photo by C Dustin on Unsplash Data warehousing was introduced in 1988 by IBM researchers Barry Devlin and Paul Murphy. Since then the concept has evolved and taken on a life of its own. Increasing challenges and complexities of business have forced data warehousing to become a distinct discipline. Over the years this has led to best…
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With success accompanying a growing brand comes the demand for better technological solutions. Businesses today consider full access to specialized support services like cloud computing an integral part of their day to day. Cloud computing permits firms to access to the same computing power that big businesses have. Cloud computing also delivers the perfect fit…
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