Systems | Development | Analytics | API | Testing

Data Science vs. Big Data Marketing

Data science and big data are essential in today’s world of marketing. You’ve probably already seen multiple instances of both being used for advertising and sales purposes, but you may not realize just how useful they are. If you own a business, you need to know how to use data for your own marketing programs.

The New Releases of Apache NiFi in Public Cloud and Private Cloud

Cloudera released a lot of things around Apache NiFi recently! We just released Cloudera Flow Management (CFM) 2.1.1 that provides Apache NiFi on top of Cloudera Data Platform (CDP) 7.1.6. This major release provides the latest and greatest of Apache NiFi as it includes Apache NiFi 1.13.2 and additional improvements, bug fixes, components, etc. Cloudera also released CDP 7.2.9 on all three major cloud platforms, and it also brings Flow Management on DataHub with Apache NiFi 1.13.2 and more.

Contextual analytics vs dashboards: What's the difference?

For 20 years, standalone BI tools have failed to penetrate more than 25% of the average organization, with most workers using them once a week, according to Eckerson Group. While many modern dashboards are sophisticated and user-friendly, they are still often accessed as standalone tools outside of line-of-business applications. This separation means it isn’t guaranteed that users will adopt BI, or gain insight from their data.

Neither Cloud nor SaaS Will Deliver Your Data's Full Potential

Your data now resides in the cloud, and you’ve chosen SaaS providers that use their own products (or drink their own champagne, as I like to say). Does that mean you’re getting the full value from your data? No. Chances are high your data is still siloed. This time, the culprits are your SaaS providers who collect and store your data, thus limiting the analytics you can perform on it.

The Engineering Manager's Dilemma

In this talk, we’ll examine the trade-offs around adopting #BDD. While the benefits can be enormous, it doesn’t come for free, and it pays for everyone to be prepared to make this investment wholeheartedly, with your eyes open. We’ll explore some of the benefits people have enjoyed as they adopt BDD, and look at where the investment costs come, and how soon they start to amortize.

Mobile App Development and Testing Done Right with TestFairy - SauceCon 2021 Demo

Mobile testing is complex. You need to test your apps across multiple devices in different environments, and account for the varied conditions experienced by real users in the field. This presents a big challenge for the mobile development and QA teams. Adding to that, being remote, by definition, makes it hard for developers to understand what happened on a mobile device before an app crashed or when things didn’t work as expected. Further, the increasingly quality-sensitive users make it imperative for the modern mobile development and testing teams to deliver a flawless mobile experience with every release.

iOS 14.5 and Countly: a Match Made in the Clouds

According to Statcounter, Apple’s iOS penetration in the global mobile scene is around 27%, which is more than considerable. However, this penetration is at almost 50% in markets such as Europe or North America which coincidentally, are those at the forefront of enacting strict data privacy policies. So when Apple announced new user data privacy regulations for app developers as part of its iOS 14.5 release, it was not too shocking.