Optable’s end-to-end data clean room platform for the advertising industry integrates with BigQuery to enable audience activation and insights.

Learn why SAP data is the critical ingredient for manufacturing organizations to move from reactive to predictive analytics.

The service mesh architecture pattern has become a de facto standard for microservices-based projects. In fact, from the mesh standpoint, not just microservices but all components of an application should be under its control, including databases, event processing services, etc.

Time series data is everywhere. It captures how systems, behaviors and processes change over time. Enterprises across industries, such as Internet of Things (IoT), financial services, manufacturing and more, use this data to drive business and operational decisions. When using time series data to perform analytics and drive decisions, it’s often necessary to join several data sets.

A part of Gemini in BigQuery, data insights leverages table metadata and profiling information from Dataplex to surface relevant, executable queries.

In this blog post we are going to look at how we can use our performance tests to act as Sanity Test. We have touched upon the subject in one of our blog posts on the hidden benefits or performance testing. This post will however look to provide more detail on the subject and provide guidance on how you can accomplish this. We are not suggesting that you write a set of JMeter tests to act as sanity tests for our application under test as that would not be that beneficial.

In the video game development industry, releasing a well-polished and critically acclaimed title is crucial to success. However, even experienced development teams may face unexpected challenges in identifying and resolving issues before the official release. This is why beta testing is so important; it helps developers catch and fix any remaining problems before the game is released to the public.

There's no doubt that, as a technology provider/integrator, you're likely seeing many customers across all segments looking to advanced analytics and artificial intelligence for optimizing their growth. Given the vast volume of data that these innovations consume or create, it's clear to see the importance of being able to offer your customers reliable, secure, sustainable and scalable data infrastructure solutions.

The success of your mobile app depends not just on how well the application is working at first, but also on its consistent delivery of excellent user experience. Customers today have an extensive range of alternatives in this rapidly evolving & competitive mobile market. Any problem with the application's performance and user experience can lead to users being discontent with the mobile app. This results in users abandoning the application.