Tag: Graph

Feed: Cambridge Intelligence. Author: Christian Miles. Finding an effective way to visualize connected data isn’t easy.Focus too much on producing something that looks good and you might lose sight of the meaning behind the data. Concentrate solely on the graph data itself and you may end up with an ugly chart that’s hard to interact with. Striking the balance is key.There are so many visualization options to choose from. In this post, we examine the pros and cons of one popular choice: chord diagrams.Done well, these circular diagrams with arcs between nodes can make a great impact. We’ll explore how ... Read More

Feed: SAS Blogs. Author: Robert Allison. During the year 2020, many countries and areas will be conducting their decennial census, and making projections to estimate what their population will be in the future. Therefore I decided to dust off one of my old SAS/Graph samples based on the 2010 census, and rewrite it using more modern technology. That way, I will be ready to plot new data and forecasts based on the 2020 census, when that information becomes available. Follow along, and learn a few tips about plotting population projections! United Nations Graph So let's get started! ... First some ... Read More

Feed: Cambridge Intelligence. Author: Sam Mabaso. We work really hard at Cambridge Intelligence but we also know how to have fun. Every month we organize a company-wide social event – a perfect opportunity for us to unwind and spend time together outside work.We also run monthly country-themed lunches. Our team is made up of people from all over the world including India, Japan, Scotland, Italy, Turkey, and South Africa. To celebrate this diversity through food, we take turns to prepare and share lunches that feature authentic culinary delights.Here’s what we’ve been up to.October 2018Escape RoomsEscape rooms really get our adrenaline ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. Grafana is an open-source, nightly built dashboarding, analytics, and monitoring platform that is tinkered for connection with a variety of sources like Elasticsearch, Influxdb, Graphite, Prometheus, AWS Cloud Watch, and many others. One of the biggest highlights of Grafana is the ability to bring several data sources together in one dashboard with adding rows that will host individual panels (each with visual type). Among the other pros are: Nice design of the visuals and interface; Comfortable to work on several sources; Easy to connect to the sources. However, Grafana ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups.This blog series is designed to help you better utilize graph analytics and graph algorithms so you can effectively innovate and develop intelligent solutions faster using a graph database like Neo4j.Last week we once again looked at Community Detection algorithms, with a focus on the Louvain Modularity algorithm.This week we wrap up our exploration of Community ... Read More

Feed: Blog – ArangoDB. Author: Willi Goesgens. This is an update of the 2016 blog post How to put ArangoDB to Spartan-Mode. A lot of things have changed in the last years. We moved our API implementation from JavaScript to C++. ArangoDB now has a new (default) storage engine, namely RocksDB instead of MMFiles. RocksDB is a great storage engine. However, it also trades memory for speed. If you start with the default configuration you might end up with using much more memory for ArangoDB than expected. Therefore let’s focus on our new storage engine, and make a configuration to ... Read More

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight.Last time, I pointed out that we have an incredible Neo4j Online Meetup and that you’re a square if you’re missing out on it (seriously, just sign up). The particular meetup that I shared was a presentation by the International Salmon Data Laboratory (ISDL) and how they’re using Neo4j to track salmon and therefore track climate change. Good stuff.This week…I’ve picked another Neo4j Online Meetup. But hear me out: If you ... Read More

Feed: R-bloggers. Author: Francis Smart. After my recent post on Anscombe’s Quartet in which I demonstrated how to efficiently adjust any data set to match mean, variance, correlation (x,y), as well as regression coefficients. Philip Waggoner tuned me onto Justin Matejka and George Fitzmaurice’s Datasaurus R package/paper in which the authors demonstrate an alternative method of modifying existing data to fit a specified mean and variance for X and Y. Their method randomly applies small disturbances to individual observations to gradually move the data to match a target preference set. Inspired by their use of point images which match a ... Read More

Feed: What's New. On CPU instances, TensorFlow 1.13 is custom-built directly from source to accelerate performance on Intel Xeon Platinum processors that power EC2 C5 instances. Training a ResNet-50 model with synthetic ImageNet data using the Deep Learning AMI results in 9.4X faster throughput than stock TensorFlow 1.13 binaries. GPU instances come with an optimized build of TensorFlow 1.13 that is configured with NVIDIA CUDA 10 and cuDNN 7.4 to take advantage of mixed precision training on Volta V100 GPUs powering EC2 P3 instances. For developers looking to scale their TensorFlow training to multiple GPUs, the Deep Learning AMIs come ... Read More

Author: . Interested in NuoDB's elastic SQL database and want to know how it all works? Download our white paper on NuoDB's database architecture.Looking for the next-generation database As a NuoDB solution architect, I constantly talk to people about what they’re looking for in a database. More and more often, architects and CTOs tell us that they’re building their next-generation data center – often using containers or cloud infrastructure - and they need a database that fits this model. In their ideal world, they want a familiar relational database – but they want one that can deliver elastic capacity, maintain ... Read More