DevOps organizations continually look for ways to accelerate DevOps productivity and expedite their time to market. Without the right integrated tools, this can be rather challenging. Read along or jump to the section that interests you most.
Chances are, your data contains information about geographic locations in some form, whether it’s addresses, postal codes, GPS coordinates, or regions that are meaningful to your business. Are you putting this data to work to understand your key metrics from every angle? In the past, you might’ve needed specialized Geographic Information System (GIS) software, but today, these capabilities are built into Google BigQuery.
A quick and easy way to speed up small queries in BigQuery (such as to populate interactive applications or dashboards) is to use BI Engine. The New York Times, for example, uses the SQL interface to BI Engine to speed up their Data Reporting Engine. To Illustrate, I’ll use three representative queries on tables between 100 MB and 3 GB — tables that are typically considered smallish by BigQuery standards.
Few people can understand the difference between theory and practice more clearly than a chess Grandmaster. Our little 64-square laboratory has space for centuries of ideas. With more moves than atoms in the solar system, my ancient boardgame has limitless complexity for the human mind—and was even enough to stump the world’s fastest computers for decades.
With the onslaught of hyperautomation, it’s easy to assume insurance is stodgy and boring. But don’t be fooled. Yes, the industry has its flaws—some of them fatal. But over the next decade, technology will revolutionize insurance more than it has in the past three decades combined.
In our latest tools guide, we wanted to gather insights from a number of real users of these two giants in the Git & version control space to help you decide between using Github or Gitlab for your latest software development project. “GitHub is a common and easy-to-use website to host code in a way that's shareable with a large number of people”, states Melanie, Content Director at KitelyTech.
Those who use data wisely have competitive advantages and more profits. As a result, companies are increasing their focus on improving their data literacy. For example, the importance of data has led companies like AppNexus1 and Chevron2 to conduct internal data science competitions to identify and hone analytical talent. But, as noted in the kickoff blog post to our series on data-driven organizations, merely having data does not ensure you have a useful interpretation of that data.
JavaScript consistently ranks as the world’s most popular programming language among developers. It should come as no surprise, then, that a variety of JavaScript test automation frameworks are available to help developers test JavaScript apps. Here’s a look at the top five such frameworks, with tips on the pros and cons of each.
Working in the engineering field means navigating a variety of needs. Those range from meeting various local and national regulatory statutes, to measuring and monitoring delivery of essential outputs like drinking water and power supply, to understanding the data surrounding regional operations on both the supply and demand side. Organizations that serve this market operate behind the scenes, yet impact our daily life in the United States.
Developers use application programming interfaces, or APIs, to assemble data and functionality for new mobile or web apps, but when it comes to interacting with APIs, developers are often faced with two popular options: REST or GraphQL. In this article, we’ll explore how these approaches compare, and we’ll offer REST API best practices that can be applied to build a more consistent experience for GraphQL API consumers.
