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.

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.

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.

Customer success is much more than a function.

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.

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.

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.

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.

Data analysis is a key component for operating a successful business in today's tech-savvy world. When analyzing data sets, however, every business has its own needs. While some companies employ data scientists to work with complex big data, others have fewer and less complicated data sources that even non-technical users can navigate. Your specific needs will influence the type of tool your company chooses for data management.

With billions of industrial IoT (IIOT) devices in place, generating massive volumes of data from “the edge,” the potential for proof of concept success for use cases in the factory can be paralyzing. While the value of this digital revolution, aka Industry 4.0, is clear, realizing the full promise has been slow. Research and real-life experience from Accenture shows that many manufacturers get stuck early on or can’t get beyond proof-of-concept pilots to scale.