Notes about Cutting-Edge Technologies and Everything

Project Hop was announced at KCM19 back in November 2019. The first preview release is available since April, 10th. We’ve been posting about it on our social media accounts, but what exactly is Project Hop? Let’s explore the project in a bit more detail. In this post, we'll have a look at what Project Hop is, why the project was started and why know.bi wants to go all in on it.  What is Project Hop? hopAs the project’s tagline says, Project Hop intends to explore the future of data integration. We take that quite literally. We’ve seen massive changes in the data processing landscape over the last decade (the rise and fall of the Hadoop ecosystem, just to name one). All of these changes need to be supported and integrated into your data engineering and data processing systems.  Apart from these purely technical challenges, the data processing life cycle has become a software life cycle. Robust and reliable data processing requires testing, a fast and flexible deployment proc

PostgreSQL is a big deal. The most common SQL open source database that you have never heard of, as ZDNet's own Tony Baer called it. Besides being the framework on which a number of commercial offerings were built, PostgreSQL has a user base of its own. According to DB Engines, PostgreSQL is the 4th most popular database in the world. Swarm64, on the other hand, is a small vendor. So small, actually, that we have shared the stage with CEO Thomas Richter in a local Berlin Meetup a few years back. Back then, Richter was not CEO, and Swarm64 was even smaller. But its value proposition still sounded attractive: boost PostgreSQL's performance for free. Swarm64 is an acceleration layer for PostgreSQL. There's no such thing as a free lunch of course, so the "for free" part is a figure of speech. Swarm64 is a commercial vendor. Until recently, however, the real gotcha was hardware: Swarm64 Database Acceleration (DA) required a specialized chip called FPGA to be able

Microsoft Azure and Google Cloud have their advantages, but they don’t match the breadth and depth of the Amazon cloud. The reason is simple: AWS has built out so many products and services that it’s impossible to begin to discuss them in a single article or even a book. Many of them were amazing innovations when they first appeared and the hits keep coming. Every year Amazon adds new tools that make it harder and harder to justify keeping those old boxes pumping out heat and overstressing the air conditioner in the server room down the hall. For all of its dominance, though, Amazon has strong competitors. Companies like Microsoft, Google, IBM, Oracle, SAP, Rackspace, Linnode, and Digital Ocean know that they must establish a real presence in the cloud and they are finding clever ways to compete and excel in what is less and less a commodity business. These rivals offer great products with different and sometimes better approaches. In many cases, they’re running neck and neck wi

IEEE DataPort™ is a valuable and easily accessible data platform that enables users to store, search, access and manage data.  The data platform is designed to accept all formats and sizes of datasets (up to 2TB), and it provides both downloading capabilities and access to datasets in the Cloud.  IEEE DataPort™ is a universally accessible web-based portal that serves four primary purposes:   Enable individuals and institutions to indefinitely store and make datasets easily accessible to a broad set of researchers, engineers and industry;   Enable researchers, engineers and industry to gain access to datasets that can be analyzed to advance technology; Facilitate data analysis by enabling access to data in the AWS Cloud and by enabling the downloading of datasets Supports reproducible research. IEEE DataPort™ is an online data platform created and supported by IEEE and supports IEEE’s overall mission of Advancing Technology for Humanity.   IEEE DataPort >>&g