Last week in our BigQuery Reference Guide series, we spoke about the BigQuery resource hierarchy - specifically digging into project and dataset structures. This week, we’re going one level deeper and talking through some of the resources within datasets. In this post, we’ll talk through the different types of tables available inside of BigQuery, and how to leverage routines for data transformation.
For our latest expert interview on our blog, we’ve welcomed cybersecurity specialist Tom Kirkham to share his wealth of experience on the topic of cybersecurity. Tom is the founder and CEO of IronTech Security, a managed security service provider (MSSP) that focuses on educating and encouraging law firms, court systems, water utilities, and financial firms to establish a security-first environment with cybersecurity training programs for all workers to prevent successful attacks.
Web server load testing is a very well-known process in performance testing. By testing your web server, you can pinpoint performance bottlenecks and improve your server performance. But what is the best way to load test a server?
MS3 specializes in enterprise integration software, cloud migration strategies and API enablement. I’ve worked at MS3 for about five years. For the last year, I’ve been the principal product manager for Tavros, an enterprise integration platform from MS3. This article will dive into how we’re leveraging Kong Gateway and Kuma service mesh in Tavros.
Let's dig deeper into emulator and UI test-related issues for Android! The last article of our Android testing series by Richard Bogdan, Senior Software Engineer.
Discipline is the key to success for all companies doing well in their field or reaching a trillion-dollar valuation. They manage the software and update it very frequently when it comes to providing services. So how are they able to manage it and keep their software updated every moment? The answer is ALM—Application Lifecycle Management. ALM includes the people, the software, the tools, and the processes included in software development, from planning to deploying it for end customers.
You know the phrase “good enough”? As in, “it’s good enough right now, we can worry about fixing it in the future”? Well, when it comes to software development, I really hate that phrase. Let me explain why. Simply, it’s because the concept of ‘good enough’ isn’t true. It’s the best type of paradox. Something is either good or it’s holding you back.
When it comes to anomaly detection, one of the key challenges that many organizations face is that it can be difficult to know how to define what an anomaly is. How do you define and anticipate unusual network intrusions, manufacturing defects, or insurance fraud? If you have labeled data with known anomalies, then you can choose from a variety of supervised machine learning model types that are already supported in BigQuery ML.
