Tag: Patterns

Feed: Blog – Hazelcast. Author: Neil Stevenson. It’s said a wise person learns from their mistakes, and a wiser person learns from the mistakes of others. In this blog, we’ll look at some common mistakes made when deploying Hazelcast, so you can avoid them and be that wiser person. In other words, what are the “anti-patterns” that don’t ensure failure, but do make problems more likely? Here we’ll look at the top 5. The good news is it’s not a top 10. The following 5 are the ones we see the most. 1. A 2-Node Cluster Hazelcast is a distributed ... Read More

Feed: Blog – ArangoDB. Author: Vaidas Gasiunas. This article presents a case study of using AQL queries for detecting complex money laundering and financial crime patterns. While there have been multiple publications about the advantages of graph databases for fraud detection use cases, few of them provide concrete examples of implementing detection of complex fraud patterns that would work in real-world scenarios.  This case study is based on a third-party transaction data generator, which is designed to simulate realistic transaction graphs of any size. The generator disguises complex financial fraud patterns of two kinds:  Circular money flows: a big amount ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: David Johnsen. Customer IoT applications require rapid over the air (OTA) updates to maintain the state of their IoT things. This becomes increasingly important as IoT fleets grow. Jobs for AWS IoT Device Management is a feature to push updates to targeted edge devices. Each job targets devices in static or dynamic AWS IoT thing groups. Static thing groups include a set of specified IoT things while dynamic thing groups contain things that match a specified query and automatically update if things are added that match this query. This ... Read More

Feed: AWS Big Data Blog. AWS customers often segment their workloads across accounts and Amazon Virtual Private Cloud (Amazon VPC) to streamline access management while being able to expand their footprint. As a result, in some scenarios you, as an AWS customer, need to make an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster accessible to Apache Kafka clients not only in the same Amazon VPC as the cluster but also in a remote Amazon VPC. A guest post by Goldman Sachs presented cross-account connectivity patterns to an MSK cluster using AWS PrivateLink. Inspired by the work of Goldman ... Read More

Feed: AWS Compute Blog. Author: Talia Nassi. Amazon DynamoDB is a fully managed, serverless NoSQL database. In this post, you learn about the different DynamoDB patterns used in serverless applications, and use the recently launched Serverless Patterns Collection to configure DynamoDB as an event source for AWS Lambda. Benefits of using DynamoDB as a serverless developer DynamoDB is a serverless service that automatically scales up and down to adjust for capacity and maintain performance. It also has built-in high availability and fault tolerance. DynamoDB provides both provisioned and on-demand capacity modes so that you can optimize costs by specifying capacity per ... Read More

Feed: R-bloggers. Author: Peter Solymos. [This article was first published on R - Hosting Data Apps, 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. I have described a few hosting patterns for Shiny apps in previous posts. It is time to compare these basic patterns. Should you host a local Shiny app on your server? Should you choose Shiny Server or Docker? Why not use both?There are a couple of factors that you ... Read More

Feed: AWS Compute Blog. Author: Talia Nassi. The recently launched Serverless Patterns Collection is a repository of serverless examples that demonstrate integrating two or more AWS services. Each pattern uses either the AWS Serverless Application Model (AWS SAM) or AWS Cloud Development Kit (AWS CDK). These simplify the creation and configuration of the services referenced. The Serverless Patterns Collection is both an educational resource to help developers understand how to join different services, and an aid for developers that are getting started with building serverless applications. By using these patterns, you can experience first-hand what is possible in the realm of ... Read More

Feed: AWS Big Data Blog. Recently, we launched AWS Glue custom connectors for Amazon Elasticsearch Service (Amazon ES), which provides the capability to ingest data into Amazon ES with just a few clicks. You can now use Amazon ES as a data store for your extract, transform, and load (ETL) jobs using AWS Glue and AWS Glue Studio. This integration helps you make the data in your data lake searchable using Amazon ES in minutes. AWS Glue custom connectors integrate with AWS Secrets Manager, which allows you to simplify the distribution of security credentials. Additionally, AWS Glue custom connectors support ... Read More

Feed: Cambridge Intelligence. Author: Katerina Baousi. We know a few things about building great SDK products here at Cambridge Intelligence.Over the years, thousands of developers have put our toolkits through their paces. Every comment, suggestion and request from them has fed back into our products, driving a program of continuous development and improvement.The result is a collection of SDKs that make building powerful, intuitive and insightful data visualization tools a breeze.The latest addition to those SDKs is KronoGraph – the world’s first toolkit for visual timeline analysis. We’ve blogged before about the great end-user experience you can design with KronoGraph, ... Read More

Feed: SAS Blogs. Author: Jim Harris. Over twenty-five years ago, I was the victim of identity fraud. Someone with the same full name who lived in my town had billed tens of thousands of dollars in medical expenses to me. The fraudster pulled this off partly because of what is now considered an ancient trove of publicly available data. My full name, postal address and home telephone number were listed in the phone book – those printed, yellow-covered books that were delivered to your doorstep. My identity thief was able to commit in-person fraud using his real photo ID (most ... Read More