With more and more customer data being collected, companies are looking for ways to put this data to use before it becomes outdated. To do this, they’re leveraging tools to match data across multiple sources to a single object, the golden record (also called master data). With this golden record, they can create targeted marketing programs, more accurate reporting, insights on future activity, and more.
Data Lake Architecture
When you hear “data lake,” you probably immediately associate it with Hadoop and on-premises installations. While that used to be the case, data lakes can be built on multiple cloud platforms including AWS, Azure, and GCP (and Hadoop is far from dead). In fact, a majority of organizations are making the shift to cloud or multi cloud data lakes for the scalability and processing power that accompanies it. One thing that has remained the same is the foundational “zone-based” architecture of a data lake.
Migrating to the Cloud
While we’re on the subject of the cloud, let’s talk about what it takes to shift your on-premises data to the cloud (or at least some of it). Before making the leap, you should formulate a plan and create a checklist. Once you’ve done that, it’s just a matter of following through and reaping the benefits.
More interested in the code behind it all? We’ve pulled our favorite technical articles of the week.
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