6 Keys to Big Data Victory

6 Keys to Big Data Victory

When I start helping a company unlock the vast potential of big data, I often get a tour of the technology they’ve acquired and data repositories bursting with potential. But frankly, that’s not what I want to see because shiny new technology and boatloads of data are not the keys to success. After the tour, I ask about what really …

3 reasons why data scientist remains the top job in America

3 reasons why data scientist remains the top job in America

Glassdoor recently revealed its report highlighting the 50 best jobs in America, and unsurprisingly, data scientist claimed the top spot for the second year in a row. Every year, the jobs site releases this report based on each job’s overall “Glassdoor Job Score.” The score is determined by three key factors: the number of job openings, the job satisfaction rating, and …

Big Data and DevOps: The Case for Bringing Them Together

Big Data and DevOps: The Case for Bringing Them Together

If you work with Big Data, you might not think DevOps has much to do with you – and vice versa. But you’d be wrong. Here’s why Big Data and DevOps make sense together. You’ve probably heard of Big Data and data analytics – especially if you’re reading this blog. But if you work in the world of data, you …

DataOps – It’s a Secret

DataOps – It’s a Secret

Summary:  DataOps is a series of principles and practices that promises to bring together the conflicting goals of the different data tribes in the organization, data science, BI, line of business, operations, and IT.  What has been a growing body of best practices is now becoming the basis for a new category of data access, blending, and deployment platforms that …

10 Big Data Advances That Are Changing the Game

10 Big Data Advances That Are Changing the Game

Like every technology, big data is reaching new heights, thanks to an innovative young crop of companies willing to deliver. Advanced software for business analytics and data management is exigent to modern enterprises, as such enterprises appear to be perpetually grappling with data challenges. In response, the market is getting flooded with a number of new offerings, the core precepts …

The Security Challenges of Enterprise Container Adoption

The Security Challenges of Enterprise Container Adoption

The container adoption wave has swept across the US over the last five years and has been gaining traction in Europe, the Middle East and Asia. The blending of development and operations processes into DevOps has also changed the way software is deployed from a traditional waterfall development model to one that is agile, dynamic and elastic. As a result, …

Bringing #DevOps to #DataScience

Bringing #DevOps to #DataScience

There’s no shortage of material about DevOps on the Interwebs. But as you sift through mountains of information, it appears mostly skewed toward better and faster web and mobile app development. Look for details on how the thinking can be applied to the wicked world of data science or analytics and you’ll be hard pressed to find much at all. …

How Big Data Is Disrupting the Logistics Industry

Reaping In-Memory Computing Benefits on AWS

More people are adopting in-memory technologies these days, and it’s no wonder. With soaring mountains of data, ever-expanding concurrency demands, and the well-recognized value of analytics management, many understand that in-memory achieves the fastest, most responsive compute capabilities for these tasks today. Solid state disks don’t even come close to in-memory’s performance. Consequently, companies are innovating faster than ever with …

Bringing DevOps to Analytics and Data Science

Bringing DevOps to Analytics and Data Science

There’s no shortage of material about DevOps on the Interwebs. But as you sift through mountains of information, it appears mostly skewed toward better and faster web and mobile app development. Look for details on how the thinking can be applied to the wicked world of data science or analytics and you’ll be hard pressed to find much at all. …

From Big Data Platforms to Platform-less Machine Learning

From Big Data Platforms to Platform-less Machine Learning

The rise in serverless architectures along with marketplaces from cloud providers creates a significant momentum to democratize big data analytics. Machine learning or AI services are much more valuable, tangible and easier to understand for businesses than clumsy big data platforms. Platform-centric and vendor-driven architectures should be deprecated if the companies using these, consider superior technology to be their core …