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Ironies of automation, Bainbridge, Automatica, Vol. 19, No. 6, 1983 With thanks to Thomas Depierre for the paper recommendation. Making predictions is a dangerous game, but as we look forward to the next decade a few things seem certain: increasing automation, increasing system complexity, faster processing, more inter-connectivity, and an even greater human and societal … Continue reading Ironies of automation
It’s time for us to admit what we have all known is true for a long time: NoSQL is the wrong tool for many of the modern application use cases, and it’s time that we move on. NoSQL came into existence because the databases at the time couldn’t handle the scale required. The rise of this new generation of data services solved many of the problems of web scale and rapidly growing data sets when it was created more than a decade ago. NoSQL also offered a new, cost-effective method for cold storage/occasional batch access for petabyte scale data. However, …
Let’s start off the New Year with a fun code example! This example shows how Jet is used to spot the dramatically-named Death Cross for the price of Bitcoin, which is an indication to sell, Sell, SELL!. The idea here is that we could automatically analyze stock market prices and use this information to guide […]
Welcome to another year of The Morning Paper! Over the holidays I spent some time mapping out a partial conference calendar for the year, and thinking about the kinds of papers I want to be reading. In a typical year, I’ll cover somewhere north of 120 papers on this blog. That’s a tiny drop in … Continue reading The Year Ahead
Why did the world need MemSQL? In this blog post, updated from a few years ago, early MemSQL Product Manager Carlos Bueno explains why MemSQL works better, for a wide range of purposes, than a NoSQL setup. (Thanks, Carlos!) We’ve updated the blog post with new MemSQL product features, graphics, and relevant links. To wit, you should also see Rick Negrin’s famous blog post on NoSQL and our recent case study on replacing Hadoop with MemSQL. Tell us if this sounds familiar. Once upon a time a company ran its operations on The Database Server, a single machine that talked …
“Container and orchestration technologies have made a quantum leap in manageability for microservice architectures. Kubernetes is the clear winner in this space. It’s taken a little longer, but recently Kubernetes has turned a corner in its maturity and readiness to handle stateful workloads, so you’re going to see 2020 be the year of Kubernetes adoption […]
SME Solutions Group is a MemSQL partner. An SME customer, a utility company, was installing a new meter network, comprising 2 million meters, generating far more data than the old meters. The volume of data coming in, and reporting needs, were set to overwhelm their existing, complex, Hadoop-based solution. The answer: replacing 10 different data processing components with a single MemSQL cluster. The result: outstanding performance, scalability for future requirements, the ability to use standard business intelligence tools via SQL, and low costs. SME Solutions Group (LinkedIn page here) helps institutions manage risks and improve operations, through services such as …
With the MemSQL 7. 0 release, MemSQL has added more special-purpose features, making it even easier to manage time series data within our best-of-breed operational database. These new features allow you to structure queries on time series data with far fewer lines of code and with less complexity. With time series features in MemSQL, we make it easier for any SQL user, or any tool that uses SQL, to work with time series data, while making expert users even more productive. The webinar begins with an overview of MemSQL, then describes how customers have been using MemSQL for time series …
This blog post was originally published in January 2014, and it has long been the first blog post on the MemSQL blog – and one of the best. In this blog post, MemSQL co-founding engineer Adam Prout explains one of the key technical features that distinguishes MemSQL: its use of skiplist indexes over Btrees and similar structures. Adam has now revised and updated this blog post to include the recently released MemSQL 7.0 and MemSQL SingleStore. The most popular data structure used for indexing in relational databases is the Btree (or its variant the B+tree). Btrees rose to popularity because …
Intel IT is taking the concept of “IT shop” to a new level through our collaboration with Intel’s business units. We’ve previously written about how IT collaboration has enabled our product testing teams to build artificial intelligence (AI) into Intel’s validation processes, saving significant time and money. Recently, we pushed the envelope of IT collaboration ...continue reading IT Collaboration Leads to Unique Product Innovation
While artificial intelligence and machine learning give corporations the ability to act faster with fewer employees than ever before, companies take on a new kind of unprecedented risk, as well. AI and ML algorithms are only as good as the …
