Having detailed response time percentiles and impact analysis for transactions is great. But often it's not the php application that is causing unwanted spikes in response times rather than services used by your application, such as MySQL, redis, HTTP APIs and so on.
In this article, I’ll walk you through the process of building a machine learning model using BigQuery ML. As a bonus, we’ll have the chance to use BigQuery’s support for spatial functions. We’ll use the New York City taxicab dataset, with the goal of predicting taxi fare, given both pick-up and drop-off locations for each ride — imagine that we are designing a trip planner.
A Key Performance Indicator (KPI) is a metric that signals how well a company is achieving important business objectives. Here’s how to set and track yours.
We’re delighted that Yellowfin has been awarded a place on the public sector’s G-Cloud 10 (G10) framework, which enables us to supply British public sector organisations with the Yellowfin platform more easily.
Keywords are like your online compass. They help you navigate the world of digital marketing.
In this month’s installment of What’s Happening in BigQuery, we’re sharing new features intended to make your life easier: some make BigQuery more performant and more cost effective, while others, like BigQuery ML, enable groundbreaking analysis tools in a cloud data warehouse that’s a first of its kind. First off, we just finished Next ‘18, our annual event focused on all things cloud.
Our financial year came to a close at the end June and Yellowfin had another solid year of growth. There was consistent growth across all regions – in Europe, Japan, APAC and the US.
Are they basically just an evolved version of service-oriented architectures (SOA)? Since a microservice must be exposed via an application programming interface (API) for an organization to scale it to new developers, does that mean managing microservices is basically the same as managing APIs? As this article will discuss, the answer to both of these questions is a clear “no” — and companies looking to get the most from their microservices need to understand why.
Continuous integration, delivery and deployment, known as CI/CD, has become such a critical piece in every successful software project that we cannot deny the benefits it can bring to your project. At the same time, containers are everywhere right now and are very popular among developers. In practice, CI/CD delivery allows users to gain confidence in the applications they are building by continuously test and validate them.
There is a common misconception about data-informed decision making. It goes that once we implement the right tools, and figure out how to analyze the data correctly, the data will automatically turn into insights and will translate to better business decisions. It sounds great in theory.
