Technology & IT
The rapid growth of the Big Data ecosystem has pushed the frontiers of technology, and our expectations, further than ever thought possible.
The Cyber-Security War For those of you who don’t know yet, the world is currently engaged in a massive global technological war over access to everything stored online. On one side we have regular internet users (or targets), who consist of large corporations, governments, small businesses and consumers like us
Strata + Hadoop World, happening September 29 – October 1 in New York, is where cutting-edge science and new business fundamentals intersect. It’s a deep-immersion event where data scientists, analysts, and executives explore the latest in emerging techniques and technologies by dissecting case studies, developing new skills through in-depth tutorials,
It isn’t a surprise that the amount of data generated in the past few years is astounding—in fact, the data generated within the last two years is close to 90 percent of all data ever generated. However, 80 percent of all enterprise data is unstructured as the numbers continue to
Data that can’t be easily queried or read is like a book with the pages glued together: not very useful. For decades, SQL was the established language used to interact with databases. Then data management requirements necessitated by cloud environments and big data use cases led to new systems. These
Introduction It wasn’t that long ago that the idea of a network-connected device that fit in your pocket was novel and futuristic. Things change quickly, however, and today’s IT professional not only has to assume that every user is connected in real-time, but be prepared for every electronic device to
“Most Organisations Have Interesting And Potentially Valuable Datasets That Can Fit on a Laptop”: An Interview With Data Scientist Andrew Clegg
Andrew joined Etsy in 2014, and lives in London, making him their first data scientist who lives outside the USA. Prior to Etsy he spent almost 15 years designing machine learning workflows, and building search and analytics services, in academia, startups and enterprises, and in an ever-growing list of research
During one of our data-munging sessions here at Coralogix, we found ourselves needing to assess the cardinality of large data sets. Getting the accurate result is seemingly trivial: you simply iterate over the data, and count the number of unique elements. In reality, however, the task is more troublesome, mainly
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