Systems | Development | Analytics | API | Testing

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Shorten time to critical insights with Streaming SQL

Data and analytics have become second nature to most businesses, but merely having access to the vast volumes of data from these devices will no longer suffice. Leading enterprises realize that the speed of data presents a new frontier for competitive differentiation. It is imperative for organizations to reduce time-to-insights to gain a competitive advantage by responding decisively to competitors, fine-tuning operations, and serving fickle customers.

From Data Lake To Enterprise Data Platform: The Business Case Has Never Been More Compelling

Companies have had only mixed results in their decades-long quest to make better decisions by harnessing enterprise data. But as a new generation of technologies make it easier than ever to unlock the value of business information, change is coming. We’ve already reaped gains at Hitachi Vantara, where I run a global IT team that supports 11,000 employees and helps more than 10,000 customers rapidly scale digital businesses.

The Future Belongs to the Data-Driven

I’m starting to hear questions like: “What comes next?” “Do things go back to the way they were?” “Are some of the changes wrought by the pandemic here to stay?” I think we all know part of the answer: there is no going (all the way) back. In the analog world, sure, we need some things to revert to bounce back. We need to revitalize retail, tourism and hospitality to get our economies moving again.

Jira Cloud Migrations: The Steps to Success

BDQ is a Zephyr Expert Partner and Atlassian Solution Partner based in London, England. Our core focus is ensuring that the Atlassian technology stack and Zephyr agile test management products deliver value to our customers through digital transformation. We provide consultancy, training, and workshops on implementing Zephyr Squad (previously known as Zephyr for Jira). Our goal is to empower teams to test effectively in agile scrum.

How to Test a Website on Different Browsers using Testsigma

There are a plethora of browsers available in the market for both web browsing and mobile browsing such as Internet Explorer, Google Chrome, Mozilla Firefox, Safari, Opera, etc. Now, the challenge here is that no one browser is similar to others or works in a similar fashion. A website may look and function differently on different browsers which can result in a loss in revenue.

Testing Before Releasing with Ghost Inspector and Netlify

We've recently released a new plugin for Netlify that allows you to automatically run Ghost Inspector tests on every deploy, including deploy previews! By default, Netlify deploys your production branch on every change. To enable deploys for other branches, follow the Netlify instructions: With branch deploys enabled, you can now run Ghost Inspector tests on your website before deploying to production!

Service Design Guidelines Part 2: API Versioning

We looked at service design considerations in the first part of this blog series. In this next part, I’d like to share some best practices for API versioning – a topic that comes up quite often with every customer as it is one of the key concerns when implementing API gateways. There are two ways to version RESTful APIs: URI and header-based, as summarized in this REST API tutorial.

Have a cool summer with BigQuery user-friendly SQL

With summer just around the corner, things are really heating up. But you’re in luck because this month BigQuery is supplying a cooler full of ice cold refreshments with this release of user-friendly SQL capabilities. We are pleased to announce three categories of BigQuery user-friendly SQL launches: Powerful Analytics Features, Flexible Schema Handling, and New Geospatial Tools.

How to Monitor CPU Memory and Disk Usage in Java

In this post, we will discuss some of the primary commands, tools, and techniques that could help to monitor CPU Memory and Disk Usage in Java. The Java tools observe Java bytecode constructs and processes. Java Profilers follow all system commands and processor usage. This lets you look at call arrangement at whatever point you prefer.