Systems | Development | Analytics | API | Testing

Conventional wisdom says that new app development projects should begin as monolithic systems. This perspective suggests that you should wait until later to refactor the monolith into a microservices-based architecture — i.e., don’t use microservices until your use-case and scaling demands require them. But is this viewpoint still correct?

COVID-19 vaccines from various manufacturers are being approved by more countries, but that doesn’t mean that they will be available at your local pharmacy or mass vaccination centers anytime soon. Creating, scaling-up and manufacturing the vaccine is just the first step, now the world needs to coordinate an incredible and complex supply chain system to deliver more vaccines to more places than ever before.

Innovative organizations need DataOps and new technologies because old-school data integration is no longer sufficient. The traditional approach creates monolithic, set-in-concrete data pipelines that can’t convert data into insights quickly enough to keep pace with business. The following trends are driving the adoption of Hitachi’s Lumada DataOps Suite.

Thanks for all those who enthusiastically responded to my first blog post on Qlik analytics with Peloton! Now, onward brave souls as we learn HOW I was able to create the analytics I wrote about earlier!

Transportation and logistics companies generate and consume more data than almost every other industry. Despite this, they still find themselves lagging behind other B2B verticals in their ability to turn a profit from data. With thinning profit margins and new contenders entering the logistics industry, the only way to outperform other companies is through brain, not brawn. Logistics analytics offers the edge over the competition.