Tag: ETL


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Keeping your Data Stack Agile as a Startup


Change is constant. This is especially true when it comes to data for Startups. New features, new tools, new data sources are constantly emerging. Startups need a data architecture that is flexible so they can keep learning from their data as they grow. They cannot wait for clean data. The Modern Data Architecture separates key functions of … Continued

What is Persistent ETL and Why Does it Matter?


If you’ve made it to this blog you’ve probably heard the term “persistent” thrown around with ETL, and are curious about what they really mean together. Extract, Transform, Load (ETL) is the generic concept of taking data from one or more systems and placing it in another system, often in a different format. Persistence is just a fancy word for storing … Continued

What is Polyglot Persistence and Why is it awful?


According to Wikipedia, “Polyglot persistence is the concept of using different data storage technologies to handle different data storage needs within a given software application.”  James Serra, in his blog writes,  “Polyglot Persistence is a fancy term to mean that when storing data, it is best to use multiple data storage technologies, chosen based upon the way data is being used by individual applications … Continued

When and Where to Use ETL Tools


 Data is the foundation of all modern software. Without data, what’s the point? Now, what happens when we need to move that data from one application and/or database to another? That’s where ETL tools come into play. ETL stands from Extract, Transform, Load and essentially means data migration from one system to another. Sometimes these tools … Continued