Technology & IT
The rapid growth of the Big Data ecosystem has pushed the frontiers of technology, and our expectations, further than ever thought possible.
How did you end up working with Cloud technology, and what excites you about the future for it? I started my career in hosting technology back in the mid 90s, right when the first dot-com boom began. As hosting technology matured and naturally evolved into cloud, so did my career.
Big data was once the domain of big iron and big brand frameworks, but in recent years, data processing has relied on x86-based server farms based on CPU-driven architectures. Yet when it comes to real-time performance, these systems just don’t hold up. Von Neumann computing architectures – most commonly seen
‘Streams in the Beginning, Graphs in the End’ – Part II: Sensors, Event Streams and ‘Upside Down’ databases
‘Streams in the Beginning, Graphs in the End’ is a three-part series by Dataconomy contributor and Senior Director of Product Management at Cray, Inc., Venkat Krishnamurthy – focusing on how big changes are afoot in data management, driven by a very different set of use cases around sensor data processing. In part I, we talked about
Ignacio Elola is a self-proclaimed ‘data nerd, data punk and data scientist’ at import.io , a young startup that’s shaking up the world of data. With their free app, you can transform any website into a table of data or an API in minutes. Recently voted Best Startup by O’Reilly Strata Santa Clara,
‘Streams in the Beginning, Graphs in the End’ — Part I: Data Management for the Internet of Everything
‘Streams in the Beginning, Graphs in the End’ is a three-part series by Dataconomy contributor and Senior Director of Product Management at Cray, Inc., Venkat Krishnamurthy – focusing on how big changes are afoot in data management, driven by a very different set of use cases around sensor data processing. In this first part, we’ll talk
Powering real-time applications involves scaling not only existing enterprise applications, but also new applications that have emerged from the web, social media, and mobile devices. Overwhelmed by massive data growth, businesses must carefully select cost-effective technologies that can enable applications to easily manage both the data volumes of today and
DataStax today announced the general availability of DataStax Enterprise 4.7 (DSE 4.7), the database platform purpose-built for the performance and availability demands of web, mobile and Internet of Things (IoT) applications. With significant advancements to integrated enterprise search, analytics, security, in-memory computing, and database management and monitoring, DSE 4.7 is capable
As the Internet of Things (IoT) hits full throttle, it’s easy to talk about how new technologies are improving every day life. For years people have imagined a world where smart machines understand what’s happening around them in order to better serve us – from Rosie, the Jetson’s maid, to
Open source data has been beneficial to the tech community and consumers at large, helping advancement significantly by making access to existing technology both faster and more accessible. Technological advancement is far more rapid when consumers who likely lack the financial resources to pay for pre-existing technology, have open, unencumbered
EMC Study Reveals Enormous Monetary Losses Incurred By Enterprises Globally To Data Loss And Unplanned Downtime
EMC, the U.S. multinational corporation and the world’s largest provider of data storage systems, has released the EMC Global Data Protection Index and it turns out that worldwide, enterprises are losing as much as $1.7 trillion through data loss and unplanned downtime. “To create the maturity curve, IT decision makers