Here’s how we implemented a combination of a database, data lake, and data warehouse to make customer reporting much faster for our client’s SMS marketing platform. This is the fifth article of our Big Data
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Understand the differences between data lakes, data warehouses, and data marts, and how they can meet your cloud data storage and analysis needs. This is the fourth article of our Big Data in the Cloud
In choosing between SQL vs. NoSQL, you’ll need to think about what your data looks like, how you’ll query it, and your scalability needs. This is the third article of our Big Data in the
Think about your objective, understand data requirements, select the right big data tools, and more This is the second article of our Big Data series. You can read the first one here: Big Data in
The cloud can help you process and analyze your big data faster, leading to insights that can improve your products and business. This is the first article in our “big data in the cloud” blog