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Beyond Big Data for Health Care with Data Science Pipelines

By now, the consensus view of Big Data is that bigger doesn’t translate into better. It’s a more subtle irony that in the face of bigger and faster data, data science is still vexingly difficult...

From DevOps to DataOps

Modern software development runs at a faster pace than ever before. As cloud computing divides winners and losers in the data-driven marketplace, converging applications and their data with the infrastructure they run on makes more…

Introducing our new Data Engineering & Data Science Pipeline Practice Offerings

We’re excited to add new new expert consultancy offerings focused on helping data-driven companies unleash the velocity and power of modern data-centric systems at scale. Our goal for this practice is to make life easier…

Hands-on cloud lifecycle virtualization for hands-free automation

The good news about modern virtualization technologies like KVM (Kernel-based Virtual Machine) and containers (e.g., LXC) is that you get almost limitless options for spinup and teardown of clusters, machines, networks and so on. That’s also the bad…

Ten things to know about Kubernetes on Amazon (EKS): First of 2 posts

Note: This is part one of a two-part series on Amazon EKS; to see a more in-depth review and recommendations, see Part II: “Figuring out if Kubernetes on AWS (EKS) is right for you”

Figuring out if Kubernetes on AWS (EKS) is right for you: Second of 2 posts

Note: This is part two of a two-part series on Amazon EKS. ICYMI, here's a comprehensive intro overview get you up top speed on EKS: “Ten things to know about Kubernetes on AWS”.) By this…

The Data Science Myth is not about Data Scientists

This is true: big data is cheaper and faster, but harder; data scientists have the skills, and are in great demand. True, but only partially. Yes, data scientists make a huge difference, but if only they have the…

OWASP ZAP penetration security testing tool

A new tool is available for those who would benefit from automated penetration testing and who don’t have the internal know-how or resources to deal with the problem of security testing for their web or…

The Data Engineering Checklist for Data Science

What comes after Big Data? Bigger data. Demands on data scientists are growing even faster. They need to the resources and tools to make ever more effective use of their time. Expanding Data Engineering holds…

Infrastructure testing as a part of GDPR compliance according to OWASP & NCSC

By this time the swarm of emails related to GDPR (General Data Protection Regulation) has slowed down since it first went into effect on 25 May 2018. From this date, non-compliance with the regulation may…

GDPR Compliance by design

GDPR - it’s a new buzzword we keep hearing nowadays. While it was initially addressed towards big players like Facebook, Google and LinkedIn - it also affects small businesses. If you’ve had the chance to…

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