Transportation companies hold together the world’s supply chain. Shipping goods internationally, transporting fuel from refineries, bringing products to retail outlets, and delivering packages last mile to consumers’ homes—transportation is the glue of the economy. This responsibility comes with enormous pressure. These companies are on the hook when deliveries run late due to things like shipping container shortages.
Sometimes the need for processing power you or your team requires is very high one day and very low another. Especially in machine learning environments, this is a common problem. One day a team might be training their models and the need for compute will be sky high, but other days they’ll be doing research and figuring out how to solve a specific problem, with only the need for a web browser and some coffee.
Snowflake has once again transformed data management and data analytics with our newest workload—Unistore. For decades, transactional and analytical data have remained separate, significantly limiting how fast organizations could evolve their businesses. With Unistore, organizations can use a single, unified data set to develop and deploy applications, and analyze both transactional and analytical data together in near-real time.
As the Senior Director for Marketing Ops at ThoughtSpot, I’m the owner of our full marketing and sales tech stack. So, you know. No pressure. I started out as a Marketing Analyst — certified Tableau superuser, the whole deal. And I’ve got to say what I can do now versus what I could do then is night and day. What used to take me hours in Tableau back in 2015 literally takes me minutes in ThoughtSpot.
Geospatial data has many uses outside of traditional mapping, such as site selection and land intelligence. Accordingly, many businesses are finding ways to incorporate geospatial data into their data warehouses and analytics. Google Earth Engine and BigQuery are both tools on Google Cloud Platform that allow you to interpret, analyze, and visualize geospatial data.
If you use a framework like Electron to develop a desktop version of your web application, you may have run into a common problem when testing your application: So while you can test most of the critical functions of your app in the web version, there are some critical test cases for the desktop version that you simply can’t automate (such as setting up desktop notifications or verifying the app can be downloaded and installed).
Project managers are required to manage people, teams, and tools. They accept accountability for the broader picture. Jira is a prominent project management program that is owned by Atlassian. Jira is a fantastic tool for both developers and testers. Many integrations enhance Jira's use for development teams. This post discusses some of the best Jira integrations for quality assurance, software testing, and test management that allow developers and testers to collaborate effortlessly.
Phoenix LiveView lets you develop full-stack apps with client-side interactions while mostly avoiding cross-stack hassle. Assigns, managed by the LiveView socket, are a core tool for making that happen — allowing you to store, present, and update data effortlessly and efficiently. But as they do so much, assigns come with their own complexities and may backfire if misused.
You’ve hit a dead-end using Puppeteer as your web-automation module. Well, you’ll be glad to know that many people like you are looking for better alternatives. Puppeteer has been famous ever since Google introduced it. Since the Chrome DevTools team is responsible for developing this module, it works seamlessly with a headless Chrome browser without any issues.
