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 Pawel Czerwinski on Unsplash Big data is touted as the solution to many problems. However, the truth is, big data has caused a lot of big problems. Yes, big data can provide more context and provide insights we have never had before. It also makes queries slow, data expensive to manage, requires a lot of expensive…
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Photo by Leohoho on Unsplash Migrating to the modern data stack means poising your organization to meet the varying demands of modern data. The modern data stack seeks to overcome the problems and challenges associated with modern data while enabling an organization to innovate and automate like never before. As more organizations migrate to the modern…
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It’s becoming difficult to keep track of all the new data warehouse solutions that are trying to challenge the current incumbents. Choosing the best data warehouse to meet the needs and objectives of your operation is a crucial component of your business strategy. Unfortunately, many organizations are still struggling with this decision. To add to…
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Photo by Myriam Jessier on Unsplash The modern data stack (MDS) is a new approach to data integration capable of saving your engineers time while allowing both engineers and analysts to focus on high-value pursuits. With a suite of tools to support data integration, the modern data stack will free your teams of monotony while empowering…
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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 Christina @ wocintechchat.com on Unsplash Why does it feel like so many more articles are discussing the data engineering profession? Perhaps it’s because Dice’s 2020 tech jobs report cites data engineering as the fastest-growing field in 2020, increasing by a staggering 50%, while data science roles only increased by 10%? Or maybe it’s just because the Medium…
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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 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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