API security starts with authentication and authorization, then data security and availability. In this post, I will review security considerations for an API gateway and how the capabilities of the Kong Gateway address them. First, let’s review different aspects of API security in detail.
Are you storing your data in BigQuery and interested in using that data to train and deploy models? Or maybe you’re already building ML workflows in Vertex AI, but looking to do more complex analysis of your model’s predictions? In this post, we’ll show you five integrations between Vertex AI and BigQuery, so you can store and ingest your data; build, train and deploy your ML models; and manage models at scale with built-in MLOps, all within one platform. Let’s get started!
Heading into a new year filled with myriad crosscurrents, this much is certain: more organizations will find smarter ways to use data as they realize the benefits of digitally transforming their operations. We’re seeing this trend toward data-driven decision making already play out in different industries around the world as companies modernize their infrastructures.
Sports betting is on the rise in the US as a growing number of states have recently legalized online and mobile sports betting. As of early 2022, sports betting is legal in 30 states and Washington, DC, with more expected to follow suit. The industry has seen massive growth since the Supreme Court ruled on it in 2018, with mobile apps increasingly being the chosen way for customers to place a wager.
Postman is a great tool for API testing during development. It’s GUI is simple to learn and ubiquitous. However, manually writing test cases for local development gets tedious fast if you have a lot of endpoints. Meticulously entering every detail for every use case takes forever. Also, if you get one HTTP Header or parameter wrong, it can take hours to diagnose. And even when it’s done, the API tests are almost immediately out of date because the API contract changes.
Microsoft customers can discover, transact and deploy Fivetran’s fully managed and automated data pipelines in Azure and more.