Tag: cluster

Feed: Planet MySQL; Author: Severalnines; RDS is a Database as a Service (DBaaS) that automatically configures and maintains your databases in the AWS cloud. The user has limited power over specific configurations in comparison to running MySQL directly on Elastic Compute Cloud (EC2). But RDS is a convenient service, as long as you can live with the instances and configurations that it offers. Amazon RDS currently supports various MySQL and MariaDB versions as well as the, MySQL-compatible Amazon Aurora DB engine. It does support replication, but as you may expect from a predefined web console, there are some limitations. Amazon ... Read More

Feed: Planet MySQL; Author: MySQL Performance Blog; Tibor Korocz | June 19, 2018 |  Posted In: MySQL, Percona Monitoring and Management, Percona XtraDB Cluster, PMM, ProxySQL, Technical Webinars PREVIOUS POST Including setting up Percona XtraDB Cluster with ProxySQL and PMM Please join Percona’s Architect, Tibi Köröcz as he presents Percona XtraDB Cluster 5.7 Tutorial Part 2 on Wednesday, June 20th, 2018, at 7:00 am PDT (UTC-7) / 10:00 am EDT (UTC-4). Never used Percona XtraDB Cluster before? This is the webinar for you! In this 45-minute webinar, we will introduce you to a fully functional Percona XtraDB Cluster. This webinar will show you ... Read More

Feed: Planet MySQL; Author: Shree Nair; Since April 19th, when MySQL 8.0 became Generally Available (GA), the MySQL community has been abuzz with excitement over all of the new features and improvements. Many of new features were improvements to performance or monitoring, while others were specifically related to replication. We reviewed Replication Performance Enhancements in MySQL 8 recently. Today’s blog will describe how to set up a basic master-slave configuration with MySQL, using two servers on a single machine.Replication Defined MySQL replication is a process in which data from one MySQL database server (the master) is copied automatically to one ... Read More

Feed: MariaDB Knowledge Base Article Feed. Author: . NOTE: Document for internal use only Installing Latest MariaDB ColumnStore developer built packages can be done from the yum, apt-get, and zypper Repositories based on the OS. These are the latest builds from the develop-1.1 branch for the 1.1.x build. MariaDB ColumnStore packages which consist of: MariaDB ColumnStore Platform MariaDB ColumnStore API (Bulk Write SDK) MariaDB ColumnStore Data-Adapters MariaDB ColumnStore Tools You can install MariaDB ColumnStore Packages from the Repositories for Single-Server installs and for Multi-Server installs utilizing the Non-Distributed feature where the packages are installed on all the servers in the ... Read More

Feed: Microsoft Azure Blog. Author: Rob Caron. Now in preview Azure Blob Storage lifecycle management in public preview - Both Blob-Level Tiering and Archive Storage help you optimize storage performance and cost. Blob-Level Tiering enables you to transition blobs between the Hot, Cool, and Archive tiers without moving data between accounts. In response to customer feedback, you can now automate blob tiering and retention with lifecycle management policies. Azure Blob Storage lifecycle management offers a rich, rule-based policy which you can use to transition your data to the best access tier and to expire data at the end of its ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Roni Fontaine. We are thrilled to announce that Hortonworks Data Platform (HDP) version 3.0 is now available for early access. For more information, go here.  HDP 3.0 delivers new capabilities for the enterprise to enable agile application deployment, new machine learning/deep learning workloads, real-time database, & security and governance. It is a key component of the modern data architecture and can be deployed both on-premises and the cloud.  Many of the new enhancements to HDP 3.0 are based on Apache Hadoop 3.1 and include containerization, GPU support, erasure coding and namenode federation.  HDP 3.0 ... Read More

Feed: Microsoft Azure Blog. Author: Thomas Alex. Data is at the heart of Microsoft’s cloud services, such as Bing, Office, Skype, and many more. As these services have grown and matured, the need to collect, process and consume data has grown with it as well. Data powers decisions, from operational monitoring and management of services, to business and technology decisions. Data is also the raw material for intelligent services powered by data mining and machine learning. Most large-scale data processing at Microsoft has been done using a distributed, scalable, massively parallelized storage and computing system that is conceptually similar to ... Read More

Feed: R-bloggers. Author: Mango Solutions. James Blair, RStudio Scalability is a hot word these days, and for good reason. As data continues to grow in volume and importance, the ability to reliably access and reason about that data increases in importance. Enterprises expect data analysis and reporting solutions that are robust and allow several hundred, even thousands, of concurrent users while offering up-to-date security options. Shiny is a highly flexible and widely used framework for creating web applications using R. It enables data scientists and analysts to create dynamic content that provides straightforward access to their work for those with ... Read More

Feed: Microsoft Azure Blog. Author: Alicia Li. Household names such as Adobe, Jet, ASOS, Schneider Electric, and Milliman are amongst hundreds of enterprises that are powering their Big Data Analytics using Azure HDInsight. Azure HDInsight launched nearly six years ago and has since become the best place to run Apache Hadoop and Spark analytics on Azure. Here are the top eight reasons why enterprises are choosing Azure HDInsight for their big data applications: 1. Fully managed cluster service for Apache Hadoop and Spark workloads: Spin up Hive, Spark, LLAP, Kafka, HBase, Storm, or R Server clusters within minutes, deploy and ... Read More

Feed: Planet MySQL; Author: MySQL High Availability; Cluster connection poolingThe new MySQL Cluster 7.6 GA supports NDB connection pooling – using multiple NDBAPI connections from a single mysqld to NDB – to allow increased concurrency and throughput. Cluster connection pooling has been supported in MySQL Cluster for quite a while. However, the previous 7.5 release added a ndb_connection_pool_nodeids configuration attribute which allows assigning a specified set of nodeids to a mysqld for cluster connection pooling. This addition allowed MCM to fully support cluster connection pooling. Read on, and I’ll show you how to set up NDB cluster connection pooling using ... Read More