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Category: Civil Engineering

BlockChain : Developer’s Guide & Use Cases

Living in the digital era, we are quite sure you would have heard the term “Blockchain“, majorly due to the rise of cryptocurrencies. If not, you might be missing the next big thing in the technology market. It is the methodology that will redefine the way transactions happen today. Let’s have a deeper look into the enormous potential it has, how it might directly impact us, the technology behind this solution and the future. What is Blockchain? Blockchain, in its…

Engineering Ethics Blog: The Grenfell Tower Tragedy

In 1974, a new high-rise public housing apartment building opened in West London.  Called Grenfell Tower, it was 24 stories tall and designed to house as many as 600 people in 120 apartments.  Photographs of it taken before a renovation in 2015 show large windows on one side and smaller ones on the adjacent side.  In 2014, as reported in this blog, the 63-story Address Hotel in Dubai, United Arab Emirates went up in flames as aluminum-clad foam-plastic panels called…

Open Sourcing Bullet, Yahoo’s Forward-Looking…

By Michael Natkovich, Akshai Sarma, Nathan Speidel, Marcus Svedman, and Cat Utah Big Data is no longer just Apache server logs. Nowadays, the data may be user engagement data, performance metrics, IoT (Internet of Things) data, or something else completely atypical. Regardless of the size of the data, or the type of querying patterns on it (exploratory, ad-hoc, periodic, long-term, etc.), everyone wants queries to be as fast as possible and cheap to run in terms of resources. Data can…

Recycled tires create stronger concrete

Obinna Onuaguluchi, UBC civil engineering postdoctoral researcher. Credit: Clare Kiernan / UBC UBC engineers have developed a more resilient type of concrete using recycled tires that could be used for concrete structures like buildings, roads, dams and bridges while reducing landfill waste. The researchers experimented with different proportions of recycled tire fibres and other materials used in concrete—cement, sand and water—before finding the ideal mix, which includes 0.35 per cent tire fibres, according to researcher Obinna Onuaguluchi, a postdoctoral fellow…

Applications of (pin)trace data – Hacker Noon

Suman Karumuri | Pinterest tech lead, Visibility To ensure we’re providing a fast experience for Pinners, we’re constantly improving the request latency of our backend services. Earlier this year, we open sourced Pintrace collector, and contributed the code to the OpenZipkin community. In a previous post, we explained the architecture of Pintrace and how we trace backend applications. In addition to using Pintrace to understand and improve the latency of our backend, we’ve developed applications of trace data to solve…

Getting to Know Shawn Zandi

Before joining LinkedIn in 2012, Shawn worked as a network consultant and architect for various Fortune 100 companies from Dubai to Silicon Valley, building infrastructure for universities, hospitals, airports, luxury hotels, plain old dial-up service providers, and mega-scale data centers.   What are some of the coolest projects that you and your team have been working on? Currently, we are working on the concept of self-defined networking. Self-defined networking is a series of out-of-the-box features and functionalities that enables a…

Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks

At Uber, event forecasting enables us to future-proof our services based on anticipated user demand. The goal is to accurately predict where, when, and how many ride requests Uber will receive at any given time. Extreme events—peak travel times such as holidays, concerts, inclement weather, and sporting events—only heighten the importance of forecasting for operations planning. Calculating demand time series forecasting during extreme events is a critical component of anomaly detection, optimal resource allocation, and budgeting. Although extreme event forecasting…

Scaling Beyond MySQL – Wealthfront Engineering Blog

Wealthfront is growing fast, and the quantity of data we collect is growing faster. With the launch of Path, we’ve seen a large increase in the number of non-Wealthfront accounts our customers have linked over time (see below). We have plans to increase the breadth of automated financial advice we provide for our clients, so we’re expecting to see the number of linked accounts accelerate. On top of this, we have an ever-growing set of financial services we offer, giving…

Evolving the Netflix Data Platform with Genie 3 – Netflix TechBlog – Medium

by Tom Gianos The big data space continues to change at a rapid pace. Data scientists and analysts have more tools than ever at their disposal whether it be Spark, R, Presto, or traditional engines like Hive and Pig. At Netflix the Big Data Platform team is responsible for making these tools available, reliable and as simple as possible for our users at massive scale. For more information on our overall architecture you can see our talks at QCon 2016,…

Counting things, a lot of different things…

Back in April we announced Rate Limiting of requests for every Cloudflare customer. Being able to rate limit at the edge of the network has many advantages: it’s easier for customers to set up and operate, their origin servers are not bothered by excessive traffic or layer 7 attacks, the performance and memory cost of rate limiting is offloaded to the edge, and more. In a nutshell, rate limiting works like this: Customers can define one or more rate limit…