Tag: INDEX

Feed: Recent Announcements. Creating a custom model is simple. Using AutoML, Comprehend will learn from a small private index of examples (for example, a list of policy numbers and text in which they are used), and then train a private, custom model to recognize these terms in any other block of text. No machine learning experience required. For real time Custom Entity Recognition, you can provision an endpoint with capacity that fits your need. Amazon Comprehend real time Custom Entity Recognition is now available in all AWS regions where Amazon Comprehend is available. To try the new feature, log in ... Read More

Feed: AWS Compute Blog. Author: Chris Munns. This post is contributed by Andrew Pearce – Sr. Systems Dev Engineer, AWSSince launching Amazon EC2 Image Builder, many customers say they want to re-use existing investments in configuration management technologies (such as Ansible, Chef, or Puppet) with Image Builder pipelines. In this blog, I walk through creating a document that can execute an Ansible playbook in an Image Builder pipeline. I then use the document to create an Image Builder component that can be added to an Image Builder image recipe. In addition to this blog, you can find further samples in the amazon-ec2-image-builder-samples ... Read More

Feed: AWS Compute Blog. Author: Emma White. This post was written by Robert Zhu, Principal Developer Advocate at AWS. This article continues a blog I posted earlier about using Load Balancers on Amazon Lightsail. In this article, I demonstrate a few common challenges and solutions when combining stateful applications with load balancers. I start with a simple WebSocket application in Amazon Lightsail that counts the number of seconds the client has been connected. Then, I add a Lightsail Load Balancer, and show you how the application performs routing and retries. Let’s get started. WebSockets WebSockets are persistent, duplex sockets that enable bi-directional ... Read More

Feed: AWS Big Data Blog. Amazon Elasticsearch Service (Amazon ES) is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch in AWS at scale. It’s a widely popular service and different customers integrate it in their applications for different search use cases.Compass rearchitected their search solution with AWS services, including Amazon ES, to deliver high-quality property searches and saved searches for their customers. In this post, we learn how Compass’s search solution evolved, what challenges and benefits they found with different architectures, and how Amazon ES gives them a long-term scalable solution. We ... Read More

Feed: R-bloggers. Author: Topics in R. [This article was first published on Topics in R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Overview R’s built-in copy-on-modify behavior prevents the user from having two symbols always pointing to the same object. Because pointers, as they are common in other programming languages, are essentially symbols (variable) related to an object that has already another symbol attached to it, it is clear that pointers do not ... Read More

Feed: SAS Blogs. Author: Carlos Pinheiro. The current state of policy enforcement during an infectious disease pandemic is mostly reactive. Public health officials track changes in active cases, identify hot-spots and enforce containment policies primarily based on geographic proximity. By combining telecommunications data -- which we turn into mobility information -- with public health data of positive cases, we can use network analytics to better understand the spread of COVID-19 and make more proactive decisions on social containment policies. Data required for this application includes aggregated physical subscriber movements over time, provided by telecommunications companies, and confirmed cases by place ... Read More

Feed: R-bloggers. Author: Carl Howe. [This article was first published on RStudio Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.Photo by Mark Cruz on UnsplashThe TIOBE Company just published the July edition of its TIOBE Programming Community Index of programming language popularity. R users will be pleased to see that R is now ranked as the 8th most popular programming language as shown in the screenshot below, having risen 12 positions since July ... Read More

Feed: Redis Labs. Author: Guy Royse. If you’re a Python developer—and since you’re reading this, you probably are—you’ve almost certainly used Redis and thought it was a great cache. (That was my first impression, too.) And Redis does make a great cache. But it turns out that Redis can solve a lot more problems than just caching. We’re going to explore some of those other uses for Redis and Redis Enterprise. For fun, I’m using the Bigfoot data I used in my blog post on using geospatial data in Redis. And, since we’re Python developers, all of the examples will, ... Read More

Feed: Planet MySQL; Author: Justin Swanhart; Oracle MySQL is in need of a columnar storage engine for analytics workloads.  A columnar engine (or column store) stores data vertically, that is, it stores all the data associated with a column together, instead of the traditional RDBMS storage method of storing entire rows together, either in a index organized manner, like InnoDB, or in a heap, like MyISAM.   Columnar storage has the benefit of reducing IO when only a subset of the row is accessed in a query, because only the data for the accessed rows must be read from disk ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Last week, Liberation Data launched the v2.x stream of Drivine. Drivine is a client library for Node.js and TypeScript. It is designed to support multiple graph databases, simultaneously if you wish, and to scale to hundreds or thousands of transactions per second. Drivine allows you to meet these goals without compromising architectural integrity. Drivine provides a sweet-spot level of abstraction, with management and light-weight object to graph mapping (OGM) features. The library helps to implement flexible graph-powered systems on Node.js that have the highest performance characteristics. And without sacrificing architectural concerns.Coupled with ... Read More