Four Ways to Survive the IT Operations Big Data Deluge

Four Ways to Survive the IT Operations Big Data Deluge

The days of managing monolithic style applications running on a single platform are over. Organizations are now committed to delivering their customers a far richer variety of digital services using multiple channels. This means applications are more likely to execute from the cloud, via a multitude of microservices interacting with virtualized resources, containers and software-defined networks. In this new normal, …

Staying agile: data-driven IT operations

Staying agile: data-driven IT operations

You got your agile application development methodology, and your DevOps, continuous integration and release. You got your combination of bare metal and virtualization, private, hybrid, and public cloud. Great. If you got them right, your application development cycle is quick and adaptive, which means time to market is short, and your deployment options are flexible and elastic, which means you …

Integrated vs. specialized: Which shines the brighter light on "dark data?"

Integrated vs. specialized: Which shines the brighter light on “dark data?”

Ingest, data prep, analysis, visualization and export. They’re all part of the Big Data analytics life-cycle. The good news? The market sports multiple product categories that handle each of these. The bad news: there are far fewer products that handle many of these areas together. It’s getting more complex too, as other big data lifecycle categories, like data lake management/data …

5 ways data analytics will storm the stage in 2017

5 ways data analytics will storm the stage in 2017

The growing importance that e-tailers and e-commerce firms generally attach to data analytics can be seen in the shift within operations teams towards hiring more data scientists as well as the interest from senior management in gaining a better understanding of how customer engagement impacts revenues and sales. The sheer volume of online traffic that retailers experienced during Black Friday …

2016 in APIs: Microservices

2016 in APIs: Microservices, Standards, Acquisitions & Security

2016 has been an eventful year on many fronts and not least for APIs. We’ve see the emergence of Microservices as a big new driver for API adoption, numerous high profile security breaches (being DDOSed by your own webcam hurts!), vendor acquisitions, the growth of the Open API Initiative and some more industry events. Some of these trends we already …

Driving Value with Data Science

Driving Value with Data Science

Fighting fraud, reducing customer churn, improving the bottom line –  these are just a few of the promises of data science. Today, we have more data to work with than ever before, thanks to new data-generating technologies like smart meters, vehicle telemetry, RFID, and intelligent sensors. But with all that data, are we driving equivalentvalue? Many data scientists say theyspendmost …

Partnerships: Building a Big Data Village

Partnerships: Building a Big Data Village

Within most corporate organizations, many (big) data programs can and will fail to create sustained business value. To avoid this risk, and to gain maximum value from data investments, organizations must overcome a number of stumbling blocks within the analytical supply chain — notably a lack of appropriate people, process or technology. Primarily we must focus on breaking down the …

7 most important tech skills needed for today's digital enterprise

7 most important tech skills needed for today’s digital enterprise

What are the tech jobs most needed these days to help an organization move into the digital realm? Many of the tried-and-true tech skills that have been honed to help enterprises build out web services, SOA, cloud, microservices and containers are well-suited for the all-encompassing digital enterprise everyone is now striving to build. However, all these IT roles all now …