Tag: cluster

Feed: SAS Blogs. Author: Rick Wicklin. I think every course in exploratory data analysis should begin by studying Anscombe's quartet. Anscombe's quartet is a set of four data sets (N=11) that have nearly identical descriptive statistics but different graphical properties. They are a great reminder of why you should graph your data. You can read about Anscombe's quartet on Wikipedia, or check out a quick visual summary by my colleague Robert Allison. Anscombe's first two examples are shown below: The Wikipedia article states, "It is not known how Anscombe created his data sets." Really? Creating different data sets that have ... Read More

Feed: AWS Big Data Blog. Stream processing facilitates the collection, processing, and analysis of real-time data and enables the continuous generation of insights and quick reactions to emerging situations. This capability is useful when the value of derived insights diminishes over time. Hence, the faster you can react to a detected situation, the more valuable the reaction is going to be. Consider, for instance, a streaming application that analyzes and blocks fraudulent credit card transactions while they occur. Compare that application to a traditional batch-oriented approach that identifies fraudulent transactions at the end of every business day and generates a ... Read More

Feed: Planet MySQL; Author: ScaleGrid.io; In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. Now in Part III, we review how the framework handles some of the important MySQL failure scenarios and recovers to ensure high availability. MySQL Failure Scenarios Scenario 1 – Master MySQL Goes Down The Corosync and Pacemaker framework detects that the master MySQL is no longer available. Pacemaker demotes the master resource and tries to recover with a restart of the MySQL service, if possible. At this ... Read More

Feed: Blog – Hazelcast. Author: Can Gencer. We are happy to announce the first General Availability release of Hazelcast Jet, two years after our first public release and three years after the project first started. We named this version 3.0 to match the current major version of Hazelcast IMDG, which is the underlying technology used in Jet. This version also includes several new exciting features. Pipeline API Backward Compatibility Over the last few versions of Jet, we have been evolving its pipeline API with new features in each version and some breaking changes. Going forward from 3.0, we are going ... Read More

Feed: Cloudera Engineering Blog. Author: Bikas Saha. Apache Spark is one of the most popular engines for distributed data processing on Big Data clusters. Spark jobs come in all shapes, sizes and cluster form factors. Ranging from 10’s to 1000’s of nodes and executors, seconds to hours or even days for job duration, megabytes to petabytes of data and simple data scans to complicated analytical workloads. Throw in a growing number of streaming workloads to huge body of batch and machine learning jobs — and we can see the significant amount of infrastructure expenditure on running Spark jobs. Costs that ... Read More

Feed: Microsoft Azure Blog. Author: Arindam Chatterjee. Today we’re announcing the general availability of Apache Hadoop 3.0 on Azure HDInsight. Microsoft Azure is the first cloud provider to offer customers the benefit of the latest innovations in the most popular open source analytics projects, with unmatched scalability, flexibility, and security. With the general availability of Apache Hadoop 3.0 on Azure HDInsight, we are building upon existing capabilities with a number of key enhancements that further improve performance and security, and deepen support for the rich ecosystem of big data analytics applications. Bringing Apache Hadoop 3.0 and supercharged performance to the ... Read More

Feed: Kamran Agayev's Oracle Blog. Last week we had a clusterware issue on one of the critical 3 node RAC environment. In the first node, network resource is restarted by ending up killing all sessions on that node abnormally. Oracle VIP that was running on that node failed over to the third node. The first node was up and running, but didn’t accept connections because it was trying to register the instance using LOCAL_LISTENER parameter where the oranode1-vip was specified that was not running on that node. We tried to relocate it back to the first node, but it failed ... Read More

Feed: Planet MySQL; Author: Severalnines; We’re happy to announce that our new whitepaper How to Deploy Open Source Databases is now available to download for free! Choosing which DB engine to use between all the options we have today is not an easy task. An that is just the beginning. After deciding which engine to use, you need to learn about it and actually deploy it to play with it. We plan to help you on that second step, and show you how to install, configure and secure some of the most popular open source DB engines. In this whitepaper ... Read More

Feed: Planet big data. Author: Praveen Sripati. In the previous blog  we explored on setting up an K8S Cluster on the AWS Cloud without using any additional softwares or tools. The Cloud Providers make it easy to create a K8S Cluster in the Cloud. The tough part is securing, fine tuning, upgradation, access management etc. Rancher provides a centralized management of the different K8S Clusters, these can be in any of the Cloud (AWS, GCP, Azure) or In-Prem. More on what Rancher has to offer on top of K8S here. The good thing about Rancher is that's it's 100% Open ... Read More

Feed: Events. Author: . We hope you enjoyed Next ’19 as much as we did! The past few days brought our Google Cloud community together to learn about lots of new technologies and see how customers and partners are pushing their ideas and businesses forward with the cloud. It was a lot to digest, but we’ve boiled it down here into all the announcements from the week across infrastructure, application development, data management, smart analytics and AI, productivity, partnerships, and more.1. We announced two new regions in Seoul, South Korea and Salt Lake City, Utah to expand our global footprint ... Read More