- September 24, 2018
Data
Healthy data governance makes for healthy patients
This week, I am in India to attend the 2018 Great Indian Developer Summit. So far, I am so impressed with the quality of all the presentations and workshops I’ve attended, particularly those from my fellow Rocketeers. India is one of the world’s great centers for IT talent, and this event really reflected that. I […]
Live from SHARE 2017: Modern IMS Management
I’ve spent my entire career working in high-tech, and there’s one word I hear just about every day: modern. Whether it’s videogames, entertainment devices, mobile phones or complex computing systems, everyone wants to be on the cutting edge…and no one wants to be seen as being behind the times. Which brings me to what I […]
Rocket Data and Open Source Tools Power the Best Mainframe Yet
Last week, IBM made three important announcements. First, they announced the latest IBM mainframe: the IBM z14, designed to help businesses lead the way in offering trusted digital experiences. Then, IBM coupled that announcement with an announcement of the latest flagship IBM mainframe operating system, IBM z/OS Version 2 Release 3, an engine for digital […]
Computing, Data and Insight… at the Edge?
After some hesitation, I finally embraced Apple’s wearable platform by pairing an Apple Watch with my iPhone. The Apple Watch generates a continuous stream of health data that is stored locally on my iPhone. From a cloud perspective, my health data is therefore stored “at the edge” which is, out of privacy concerns, the only […]
Yes! Someone disrupted my industry!
Innovation is hard. Disruptive innovation is even harder. So let’s face it, the company that is going to disrupt your entire industry will probably not be your own. But is that disruption really a threat or should it be considered an opportunity instead? Hello data driven disruption! Traditional examples of innovative disruption talk about new physical […]
Live from IBM World of Watson: the cognitive Internet of Things (IoT)
Artificial intelligence and cognitive computing have only recently become a reality for the mass market due to a combination of two things–increased, low-cost computing power and an explosion of data. If you’ve been keeping up with the trends over the past five years, it’s not hard to guess where much of that data is coming […]
And the Oscar goes to…data virtualization
Recognition has been a long-time coming for data virtualization. As a technology, it has been something of a pre-adolescent, the child actor who couldn’t make the transition to adult roles. While revolutionary in its approach, early forms of data virtualization were just not ready for prime time, suffering from performance and scalability issues. The norm […]
Reduce storage costs with intelligent, automated data management and archive
We’re excited to announce the release of Rocket Arkivio Autostor v8.2. Rocket Arkivio Autostor is an intelligent data management solution that enables tiered storage, optimized backup, file system reporting, compliance, and archiving for unstructured data. Arkivio is agentless and quick to deploy. It offers intuitive web-based administration tools to simplify your essential storage management tasks. […]
Apache Spark on IBM z/OS: Something New in Mainframe Analytics
For the last few years we’ve been talking with organizations that want to move their analytics closer to their data so that they can make faster, more accurate, decisions that help them become more efficient and profitable. Eliminating the time-consuming and costly process of copying data for analysis helps ensure that insights can be acted […]
This is Your Mainframe. This is Your Mainframe on Spark and Data Virtualization.
Organizations that rely on IBM mainframes know that there is no better system for transforming massive amounts of data into business success. And thanks to Apache Spark and Data Virtualization, it’s now possible for mainframe users to do real-time analysis of structured and unstructured data in place using optimized enterprise data access and abstraction. To […]
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