Systems | Development | Analytics | API | Testing

One of the really big trends that we're seeing in the analytics space, is the move towards talking about the analytics experience. Analytics experience is about supporting or triggering decisions and transactions. This is a shift from what I would describe as the passive use of analytics, where people were expected to use dashboards and reports that didn't add a lot of value to their transactions or decision making. The difference sounds subtle, but it's really quite profound.

The Fourth Industrial Revolution has not halted despite the global pandemic. If anything, COVID-19 has only accelerated the adoption of Industry 4.0, leading businesses across industries to use Internet of Things (IoT) technology and Big Data in a more sophisticated manner.

With 2.1 billion smartphone users and 10,000+ mobile apps released daily, the mobile application field seems lucrative yet more competitive than ever, especially the testing landscape. To account for such demands, entering cloud mobile testing: transparency and mobility allow businesses and developers teams to optimize their mobile app testing pipeline while ensuring the application quality.

If your COVID-19 reopening plans have gone through more phases than you can count, you’re not alone. What was once planned for October has pushed to January or June or maybe never. Even the companies that have managed to get back onsite or into the office often live in constant vigilance, knowing that a single positive COVID-19 test could send them into lockdown.

Software testing methods are essential in building software. It helps developers deal with different types of bugs. As we all know, these bugs may range from a missing semicolon to a critical business requirement. Thus, software testing becomes an essential part of a test driven development environment. We are in the era of process automation. Today, businesses are dependent on one or more software products. Therefore, software quality becomes crucial.

As we covered in part 1 of this blog series, Snowflake’s platform is architecturally different from almost every traditional database system and cloud data warehouse. Snowflake has completely separate compute and storage, and both tiers of the platform are near instantly elastic. The need to do advanced resource planning, agonize over workload schedules, and prevent new workloads on the system due to the fear of disk and CPU limitations just go away with Snowflake.