Photo by Shubham Dhage on Unsplash Learning about how to data models from basic star schemas on the internet is like learning data science using the IRIS data set. It works great as a toy example. But it doesn’t match real life at all. Data modeling in real life requires you fully understand the data…
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At my very first job in data, I was an analyst on a finance team. I was working with a senior engineer who had built out several new automated processes and was managing a data warehouse and several other applications. We were supporting 4-5 financial analysts who were relying on our data to report to…
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Photo by Nicolas Thomas on Unsplash By Reseun McClendon In general, a scientific experiment is any process in which measurements and tests are used within a (typically) controlled environment to support or refute a hypothesis. Experiments can also be used to “evaluate the efficacy or likelihood of something previously untried” (Chugh 2022). Hypotheses are unsupported propositions,…
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Photo by Martin Sanchez on Unsplash There are plenty of clichés about data and its likeness to oil. But it’s far from easy to get value from data. Companies are creating more data than ever before. At our current pace, 2.5 quintillion bytes of data are created every day. Companies went from pulling data solely…
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Photo by Green Chameleon on Unsplash All signs point towards an auspicious future for data engineering. Dice’s 2020 tech jobs report cites Data Engineering as the fastest growing job in 2020. Increasing by a staggering 50%, while Data Science roles only increased by 10%. You can rest assured that the influx of data engineering will not regress anytime soon.…
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Photo by CHUTTERSNAP on Unsplash When it comes to best practices and business alignment, most new data engineers learn as they go on the job. From building overly complex and unsustainable systems to putting too much faith in existing data structures, here are five of the most common mistakes and traps that even the most…
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Photo by NEW DATA SERVICES on Unsplash Many companies treat data as an afterthought, like a chef throwing parsley on a dish and calling it a garnish. That’s because many companies don’t live and die by their data. They don’t eat, breathe and sleep data. Well, I have. Or at least, I have worked for…
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Photo by Hunters Race on Unsplash In a recent data analytics consultation, I got asked how data analytics and data science could help my clients 7-8 figure business. We discussed what their business goals were and what tools they were currently using. Based on that we set up the next steps to start aligning some…
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Data is continuing to prove to be a valuable asset for businesses of all sizes. 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% of their earnings to it. Similarly, I have been able to consult for…
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Companies of all sizes are starting to take advantage of all the various data sets flooding in from Salesforce, Google Analytics, Google Search Trends, and every other API, free data set, and internal tool. But just having the data is not enough. The sheer complexity and velocity of data can make it difficult to work…
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