Starting new data engineering projects can be challenging. Data engineers can get stuck on finding the right data for their data engineering project or picking the right tools. And many of my Youtube followers agree as they confirmed in a recent poll that starting a new data engineering project was difficult. Here were the key…
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If you’re relying on your OLTP system to provide analytics, you might be in for a surprise. While it can work initially, these systems aren’t designed to handle complex queries. Adding databases like MongoDB and CassandraDB only makes matters worse, since they’re not SQL-friendly – the language most analysts and data practitioners are used to.…
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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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Data has been consistently demonstrated to be a valuable asset for businesses of all sizes. Consulting firms, like McKinsey, have found that companies using AI and analytics attribute 20% of their earnings to it. As a consultant, I have personally witnessed how data can uncover new sources of revenue and cost reduction opportunities for clients…
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By Reseun McClendon Today, your enterprise must effectively collect, store, and integrate data from disparate sources to both provide operational and analytical benefits. Whether its helping increase revenue by finding new customers or reducing costs, all of it starts with data. Data analysts, data scientists, engineers, and managers all require a robust data storage solution for…
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If you haven’t started looking for ways to improve your data analytics budget for 2023, then you’re probably already behind. The truth is that between all of the various economic indicators and investor letters, everyone is looking to improve audit all parts of their business. Especially where there has likely been bloat. One of those…
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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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If you’ve worked as a DBA or data engineer, then you’ve likely had to deal with data access requests. These basic data requests can go from quick requests to endless data access requests that bog down entire data teams. This has been heavily driven by the fact that companies want to be data-driven. Meaning an…
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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 Christopher Gower on Unsplash By Reseun McClendon Data Governance is the set of principles and procedures an organization uses to manage data during its life cycle. More specifically, data governance encompasses all that is done to ensure data is private, secure, accurate, available, and usable. The data life cycle may include the data’s acquisition, use, and disposal…
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