Data Services for the Masses. I’ve held services roles in my career in IT, ranging from software developer to enterprise architect to developer advocate. A brief history of data access design patterns. Data Mining for the Masses.
I’ve held several roles in my career in IT, ranging from software developer to enterprise architect to developer advocate. I’ve always been fascinated by the role that data plays in our applications—putting it into databases, getting it back out quickly, making sure it remains accurate when transferred between systems. Many of the hardest problems I’ve encountered have centered around data. For example:
Writing a cache eviction algorithm for an application that replayed hours worth of time-series radar data on a loop (ask me about the maintenance nightmare I created)
Learning how to form queries in Kibana so that we could pull just the right log statements to help us debug interactions between microservices and even down to the database.
One problem sits at the intersection of technology and the people building it. There’s an ongoing debate over when developers should be required to access data via APIs and when they should be allowed to write their own database queries directly.
Here, I’ll explore some of the solutions I’ve encountered in past projects and share why I’m excited about the Stargate project as a framework for solving this problem for everyone. Stargate is an open-source API gateway for data, built on top of Apache Cassandra.
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