Systems | Development | Analytics | API | Testing

For the next interview in our series speaking to technology and IT leaders around the world, we’ve welcomed experienced CISCO Victor Kritakis, of Epignosis. As the head of the company’s information security policy, he is responsible for penetration testing and vulnerability assessments, staff cybersecurity training, administration of the bug bounty program, as well as maintaining the ISO 27001 certification standards.

At the end of May, we released the second version of Cloudera SQL Stream Builder (SSB) as part of Cloudera Streaming Analytics (CSA). Among other features, the 1.4 version of CSA surfaced the expressivity of Flink SQL in SQL Stream Builder via adding DDL and Catalog support, and it greatly improved the integration with other Cloudera Data Platform components, for example via enabling stream enrichment from Hive and Kudu.

When conversations turn to digital transformation, it is usually smart phone apps, dizzying feats of AI, and domestic robots that capture all the attention. But the unsung heroes of I.T. know the truth: digital infrastructure is the foundation on which data-driven transformations are built. And increasingly we’re talking about two qualities digital infrastructure must possess if it is to be an effective backbone for digital transformation.

Both manual and automated testing have their place in the software development lifecycle. Understanding the pros and cons of each testing method — and the tools available for each — will help you find the most effective balance for your team.