The Crucial Importance of Data Engineering October 14, 2021 Data Engineering vs Data Science The terms “Data Science” and “Data Engineering” are often used interchangeably. Years ago, Data Science was the term that encompassed most of the data related activities...
Continuous Integration (CI) is a critical piece of any company’s software development practices, and usually the first effort on the road to DevOps. Within optimal continuous integration practices, engineers submit and test new developments against the main body of...
Executive Summary In 2020, public and private cloud-based solutions are set to surpass traditional data centers in terms of overall spending. In 2017, nearly two thirds of spending went toward private cloud solutions like Microsoft Azure. Cloud usage exploded in 2017,...
Repeatability is an intuitive aspect of daily life. If you throw a ball up, it comes down. If you throw it up twenty times, the same thing will happen, up and then down twenty times. When repeatability doesn’t occur and it’s supposed to, we get anxious. ...
One large client, given its size and varied business lines and information technology demands, relies on a variety of computing resources. For 12 years, it leveraged an SPK-managed private-cloud data center, based in San Jose. Over time, as happens with all data...
Does this sound familiar? Your organization has settled into its cloud migration. You’re enjoying the increased security and resiliency. You feel like you’ve just climbed a mountain and you want to spend some time gazing out from the summit. Then you read about...
Last time we discussed how a multi-cloud solution including both AWS and Azure might be just the solution your organization needs. Now let’s talk a bit more about the challenges attendant to leveraging both platforms at the same time. Architecting both to play nice...
We’ve hinted at it throughout this series, but now we’re going to say it explicitly: To get the most out of the cloud you should be combining solutions. At the very least, you should be thinking more flexibly than “AWS is for engineering, Azure is for IT.” Does Your...
Azure first became associated with IT for one simple reason: It’s a Microsoft product. Since the majority of organizations are running some kind of Microsoft application (be it Windows or Office), it was an easy sell because of ease of integration. However, this alone...
AWS, with its commanding market share in the world of cloud, relies heavily on engineering organizations for its success. We’ve explored the reasons for this in previous articles. What it boils down to is that Amazon’s cloud platform is more geared toward the way...
In previous posts we’ve discussed the significant market share gap between top dog Amazon Web Services and its closest competitor, Microsoft Azure. We’ve talked a bit about why engineering skews toward AWS while IT tends to prefer Microsoft Azure. Still, all things...
Last time, we talked about why engineering loves AWS so much. Now we’re going to look through the other end of the telescope: Why does IT have such an affinity for Azure? Microsoft’s Cloud Market Share Is Growing While Azure has long played second fiddle in the cloud...
