Tag: cluster

Feed: MemSQL Blog. Author: Eric Hanson. The limitations of a typical, traditional relational database management system (RDBMS) have forced all sorts of compromises on data processing systems: from limitations on database size, to the separation of transaction processing from analytics. One such compromise has been the “sharding” of various customer accounts into separate database instances, partly so each customer could fit on a single computer server – but, in a typical power law, or Zipf, distribution, the larger database don’t fit. In response, database administrators have had to implement semi-custom sharding schemes. Here, we describe these schemes, discuss their limitations, ... Read More

Feed: R-bloggers. Author: Econometrics and Free Software. I have been recently confronted to the issue of finding similarities among time-series and thoughabout using k-means to cluster them. To illustrate the method, I’ll be using data from thePenn World Tables, readily available in R (inside the {pwt9} package): library(tidyverse) library(lubridate) library(pwt9) library(brotools) First, of all, let’s only select the needed columns: pwt % select(country, year, avh) avh contains the average worked hours for a given country and year. The data looks like this: head(pwt) ## country year avh ## ABW-1950 Aruba 1950 NA ## ABW-1951 Aruba 1951 NA ## ABW-1952 Aruba ... Read More

Feed: Recent Announcements. G4 instances are optimized for machine learning application deployments (inference), such as image classification, object detection, recommendation engines, automated speech recognition, and language translation that need access to low level GPU software libraries. G4 instances are supported with the Amazon ECS GPU-optimized AMI Version 20190913 and higher.  To get started with adding a GPU instance to your ECS cluster, visit the Amazon ECS documentation. To learn more about Amazon ECS, visit our product page.  ... Read More

Feed: Recent Announcements. Amazon ECS SHA Tracking provides visibility and identification to track where container images are deployed by using task state change events emitted to CloudWatch Events. SHA Tracking is integrated with Amazon ECR, ECS, Fargate and CloudWatch Events to support application lifecycle operations. Past deployments can be analyzed to identity when, where and how long applications have run for better adoption tracking using CloudWatch Events. Clusters, containers and application images can be correlated for full patch auditing support when applications are updated to ensure your users have a consistent experience. You can get started with SHA Tracking by ... Read More

Feed: R-bloggers. Author: R on notast. [This article was first published on R on notast, 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. We’ve covered various approaches in explaining model predictions globally. Today we will learn about another model specific post hoc analysis. We will learn to understand the workings of gradient boosting predictions. Like past posts, the Clevaland heart dataset as well as tidymodels principle will be used. Refer to the first ... Read More

Feed: Oracle Blogs | Oracle Blogs. Oh, #OOW19, where should I start? There were compelling sessions, brilliant people, and an entire playpen of puppies. But the most exciting part hands down was the technology and new concepts announced at the event, starting with this simple yet bold claim that kicked off Oracle OpenWorld 2019: Oracle is a people-focused, data-driven organization. This message was everywhere at the conference. I saw proof of it in the technology I was fortunate enough to experience and heard about it firsthand from customers already using it at their organizations. It was also evident at the ... Read More

Feed: AWS Big Data Blog. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that offers fast query performance using the same SQL-based tools and business intelligence applications that you use today. Many customers also like to use Amazon Redshift as an extract, transform, and load (ETL) engine to use existing SQL developer skillsets, to quickly migrate pre-existing SQL-based ETL scripts, and—because Amazon Redshift is fully ACID-compliant—as an efficient mechanism to merge change data from source data systems.In this post, I show how to use AWS Step Functions and AWS Glue Python Shell to orchestrate tasks ... Read More

Feed: Planet MySQL; Author: Ivan Ma; MySQL InnoDB Cluster is easy to configure and deploy.  This article is written to provide 3 group replication parameter settings which may contribute to the stability and reliability of the Network in MySQL InnoDB Cluster.With MySQL 8.0, there are at least 3 most important parameters in Network Reliability Settings.1. group_replication_member_expel_timeout 2. group_replication_autorejoin_tries 3. group_replication_unreachable_majority_timeout "group_replication_member_expel_timeout"- default = 0When a node is considered to be disconnected, the majority group will wait for a time period in order to reform this majority group.   By default, there is a 5 seconds + "group_replication_member_expel_timeout" as time period to ... Read More

Feed: Liquid Web. Author: Melanie Purkis; Almost all businesses rely on online services for critical business processes, if not directly for revenue.Downtime and performance disruptions represent lost productivity and sales, along with mitigation, reputation, and other costs.The real cost of tech glitches and outdated technology could mean millions.For this reason, a large and growing number of businesses make a modest investment in upgrading their infrastructure to an architecture based on server clusters.What is a Server Cluster?A server cluster is a unified group of servers, distributed and managed under a single IP address, which serves as a single entity to ensure ... Read More

Feed: Planet MySQL; Author: Severalnines; In the previous blog in the series we discussed the pros and cons of using Galera Cluster to create geo-distributed cluster. In this post we will design a Galera-based geo-distributed cluster and we will show how you can deploy all the required pieces using ClusterControl. Designing a Geo-Distributed Galera Cluster We will start with explaining the environment we want to build. We will use three remote data centers, connected via Wide Area Network (WAN). Each datacenter will receive writes from local application servers. Reads will also be only local. This is intended to avoid unnecessary ... Read More