Companies that range from start-ups to enterprises are looking to implement AI and ML into their data strategy. With that it’s important not to forget about data quality. Regardless of how fancy or sophisticated a company’s AI model might be, poor data quality will break it. It will make the outputs of these models useless…
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Photo by Tiger Lily Data warehouses and data lakes play a crucial role for many businesses. It gives businesses access to the data from all of their various systems. As well as often integrating data so that end-users can answer business critical questions. But if we take a step back and only focus on the…
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I once had an engineer tell me that they essentially didn’t want to consider cost as they were building a solution. I was baffled. Don’t get me wrong, yes, when you’re building, you iterate and aim to improve your solutions cost. But from my perspective, I don’t think completely ignoring costs from day one is…
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Data warehousing would be easy if all data were structured and formatted in the data source. Maybe we wouldn’t even need to build a data warehouse. But as anyone who has worked with data from more than one source knows, that’s rarely the case. Businesses today need to pull data from a plethora of sources,…
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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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Good Design Is Easier to Change Than Bad Design – The Pragmatic Programmer Programming is just one aspect of the difficulties of tech work for data engineers. Creating simple yet robust systems that help manage your data infrastructure is equally important. This challenge of building a simple yet robust data infrastructure remains even with no-code/low-code solutions. Just…
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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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AWS has jumped on the bandwagon of removing the need for ETLs. Snowflake announced this both with their hybrid tables and their partnership with Salesforce. Now, I do take a little issue with the naming “Zero ETLs”. Because at the very surface the functionality described is often closer to a zero integration future, which probably…
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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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