In the vast ever-changing world of technology, Serverless and Faas are the two new categories of cloud computing services. Both FaaS and Serverless have helped organizations in saving money, refocusing developers’ time, relegating infrastructure management, and harnessing cloud technology. However, while both are treated as the same, there is a slight difference. Through this post, we will shed light on the similarities and differences between FaaS vs.
Users today are asking ever more from their data warehouse. This is resulting in advancements of what is provided by the technology, and a resulting shift in the art of the possible. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers.
How Hitachi Vantara’s global IT team is enabling the “new normal” and delivering at speeds previously thought impossible.
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 you are working in an agile environment, you may have come across the term ‘code review’. It is a strategic operation where you break the source code into snippets in order to audit the code before it is moved to the testing phase.
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.
