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 in the Cloud series. You can read the first four
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 series. You can read the first three here: Big Data
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 article on SQL vs. NoSQL is the third in our Big Data in the Cloud series. In our
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: Why Cloud Computing is the Answer to Your
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 post series. Click here to sign up for our email
