Tag: Project

Feed: R-bloggers. Author: Thinking inside the box. The bi-monthly RcppArmadillo release is out with a new version 0.7.960.1.0 which is now on CRAN, and will get to Debian in due course. And it is a big one. Lots of nice upstream changes from Armadillo, and lots of work on our end as the Google Summer of Code project by Binxiang Ni, plus a few smaller enhancements — see below for details. Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to ... Read More

Feed: Planet big data. Author: David Smith. The first "official" version of R, version 1.0.0, was released on February 29, 200. But the R Project had already been underway for several years before then. Sharing this tweet, from yesterday, from R Core member Peter Dalgaard: It was twenty years ago today, Ross Ihaka got the band to play.... #rstats pic.twitter.com/msSpPz2kyA — Peter Dalgaard (@pdalgd) August 16, 2017 Twenty years ago, on August 16 1997, the R Core Group was formed. Before that date, the committers to R were the projects' founders Ross Ihaka and Robert Gentleman, along with Luke Tierney, ... Read More

Feed: Planet big data. Author: Praveen Sripati. Introduction to AWS Lambda In one of the earlier blog here, we discussed about AWS Lambda which is a FAAS (Function As A Service) with a simple example. In Lambda the granularity is at a function level and the pricing is also on the number of times a function is called and so is directly proportional to the growth of the business. We don't need to think in terms of the servers (serverless architecture), AWS will automatically scale the resources as the number of the calls to the Lambda function increases. We should ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Syed Mahmood. Data science is inherently an exploratory and creative process because there is usually neither a definitive answer to the problem at hand nor a well-defined approach to reaching one. Data scientists research problems, explore data, visualize patterns across data and use their experience and judgment to choose parameters and processes that may be relevant to the specific problem at hand. This makes sharing and collaboration a critical activity that enables teams of data scientists to build on each other’s knowledge and to produce the overall best results. As data science has evolved ... Read More

Feed: Planet big data. Author: Julie Steele. August 17th, 2017 Editor’s note: Welcome to Throwback Thursdays! Every third Thursday of the month, we feature a classic post from the earlier days of our company, gently updated as appropriate. We still find them helpful, and we think you will, too! The original version of this post can be found here. Many enterprises are hoping to systematically drive competitive advantage and operational efficiency by gaining insight from data. For that reason, they may be contemplating — or already well into — a “data lake” effort. These are large, complex efforts, typically focussed ... Read More

Feed: AWS Big Data Blog. This is a guest post by Jeremy Winters and Ritu Mishra, Solution Architects at Full 360. In their own words, “Full 360 is a cloud first, cloud native integrator, and true believers in the cloud since inception in 2007, our focus has been on helping customers with their journey into the cloud. Our practice areas – Big Data and Warehousing, Application Modernization, and Cloud Ops/Strategy – represent deep, but focused expertise.”AWS Glue is a fully managed ETL (extract, transform, and load) service that makes it simple and cost-effective to categorize your data, clean it, enrich ... Read More

Feed: Microsoft Azure Blog. Author: Corey Sanders. As customers increase their deployed applications in Azure, we are seeing a growing interest in DevOps tooling on Azure. We also see customers looking to deploy applications across multiple environments, including hybrid and multi-cloud deployments while using the same tooling and enabling the same DevOps experiences. In order to meet these growing needs, I am excited to announce that we are greatly increasing our investment in Terraform, partnering closely with HashiCorp, a well-known voice in the DevOps and cloud infrastructure management space. Our partnership with HashiCorp goes back to early 2016, where we ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Thursday, August 17, 2017 By Kaz Sato, Developer Advocate, Google Cloud Using deep learning is not rocket science Many businesses believe that adopting deep learning or machine learning (ML) techniques means hiring a fleet of cutting edge data scientists with PhDs. But this is simply not true. Creating new deep learning models and theories is hard, but using the existing, popular deep learning models is actually not rocket science. In fact, a typical ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: siva-anne; This is final blog in the 3-part series on IBM EventStore. Part 1 introduces IBM EventStore, and part 2 describes details on ingesting event data into IBM EventStore using the scenario of Clickstream analysis for a retail business. In this blog, we will look at analyzing the Clickstream data with IBM EventStore to derive timely insights on interests of retail customers. Typically, ingesting streaming event data, persisting with low latency and analyzing it along with historical event data requires integrating multiple analytic systems. IBM EventStore is purpose built to simplify ... Read More

Feed: Neo4j Graph Database. Author: Bryce Merkl Sasaki, Aspiring Graphista. By This blog post was originally published on Medium by Michael Hunger and is used with permission. Creating a Neo4j graph database (and more) based on Game of Thrones (and A Song of Ice and Fire) data.As season 7 is progressing, interest around Game of Thrones data is flaring up again. There are plenty of very thorough data sources like the A Wiki of Ice and Fire and the Game of Thrones Wikia. But those are unfortunately not available as plain data APIs.Thanks to Joakim Skoog that changed at least ... Read More