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 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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It can be easy to take certain tools for granted when you work for companies with mature infrastructure. One of my favorite tools at Facebook was iData. iData was Facebook’s data discoverability tool. It provided a lot of functionality that I have started to miss. This included the baseline functions you would expect including the…
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Databricks is a company that aims to make managing big data easy. By utilizing Apache Spark as its core processing engine, Databricks aims to make managing and processing big data easy. As one of the leading providers of big data solutions, Databricks has made a name for itself in the industry. What is Databricks? So,…
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Over the last 20 years or so, Big Data completely changed the face of business. Then the pandemic hit. While other industries skidded to a stop, the pace of technology development skyrocketed. Suddenly, our whole lives, from work to entertainment to hanging out with friends, were happening online. Worldwide, 97 percent of businesses sped up…
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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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Photo by Nana Smirnova on Unsplash There is a lot of discussion on how you should implement your data stacks today. Should you bundle or unbundle, should you use a traditional data warehouse, lakes, lake houses, or mesh? Or a hybrid of all of them? With all these different ways you can put together your…
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Scaling data talent is hard. It’s hard to hire. Hard to grow and just overall hard in terms of managing processes and output. But there are brilliant leaders and managers doing it everyday. I recently interviewed Veronica Zhai, the principal product manager at Fivetran. She has led Fivetran’s analytical team for nearly the last year…
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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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