A data warehouse consultant plays an important role in companies looking to become data-driven. They help companies design and deploy centralized data sets that are easy to use and reliable. But in order to understand why you need a data warehouse consultant we should take a step back. In this article we will not only…
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The modern data stack has been discussed heavily in 2020 and 2021. But what wasn’t discussed enough was how to set up a successful data strategy. Truthfully, to drive value from your data you’re going to need to focus less on modernizing and more on your actual business problems. Driving business value with your data…
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Photo by Victoriano Izquierdo on Unsplash Companies that are serious about using raw data for business intelligence need some way to centralize and control that data. Many of them are using specialized vendor products to do so. Fivetran is one choice for getting all of that data wherever it resides and centralizing it in an…
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Data is an integral aspect of any business. It allows for solution development, metric tracking, and creates a structure for streamlined and integrated processes. Data empowers business decisions. I say that both from the fact that consulting firms like McKinsey have found that in their research companies that are using AI and analytics can attribute 20%…
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Maybe it’s the 6 figure salaries, the opportunity to work with cool technology or people are finally learning that data engineering is where everything starts in the data field. Whatever the reason, people are noticing. VCs are investing in data storage and ingestion platforms and companies are interviewing more data engineers compared to previous years. But how…
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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 Kaleidico on Unsplash Integrating data into strategy is proving to be a differentiator for businesses of all sizes. The cliche term “Data-Driven” is for more than just a billion-dollar tech company. Companies like DiscoverOrg and MVF are using data to help drive their decisions and create better products. Even smaller companies are finding…
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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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Photo by Eric Krull on Unsplash. Parsing and processing documents can provide a lot of value for almost every department in a company. This is one of the many use cases where natural language processing (or NLP) can come in handy. NLP is not just for chatbots and Gmail predicting what you are going to write in your…
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