Tag: use case

Feed: AWS Partner Network (APN) Blog. Author: Lauren Small. Introduction by Terry Wise, Global Vice President, Channels & Alliances at AWSThe Internet of Things (IoT) is changing the way companies collect, store, analyze, and take action from data through connected devices. AWS has built IoT specific services, such as AWS IoT and AWS Greengrass to help you simply and securely connect your devices to the cloud and allow you to act on the data (either in the cloud, on the connected device, or both) and provide the ability to manage your devices so you can focus on developing applications that fit ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Tom Hastain. We’ve just published our most recent customer case study! This one comes from straight from Japan and is emblematic of the trend towards connected data architectures throughout the North Asian region, and Hortonworks’ continued growth in the same. Mitsubishi Fuso Truck and Bus Corporation (Mitsubishi Fuso) is a leading manufacturer of trucks, buses, and industrial engines. The company has embarked on a massive Big Data transformation to capitalize on the value of large data sets. Included is the sensor data streaming from its vehicles. These sensors allow for tele-diagnosis of vehicle problems, ... Read More

Feed: Google Cloud Big Data and Machine Learning Blog. Author: Google Cloud Big Data and Machine Learning Blog Team. Innovation in data processing and machine learning technology Monday, June 26, 2017 By Jibran Saithi, Lead Architect, Qubit At Qubit, we enable over 400 million personalized experiences per month, and to power those experiences we process data from websites, mobile apps and other customer touchpoints. Managing and processing this data in near-real time is a significant challenge; various stages of the pipeline process events at over 500K messages per second, all of which need to be validated, enriched and routed with ... Read More

Feed: AWS Compute Blog. Author: Andy Katz. Constantin Gonzalez is a Principal Solutions Architect at AWS In my free time, I run a small blog that uses Amazon S3 to host static content and Amazon CloudFront to distribute it world-wide. I use a home-grown, static website generator to create and upload my blog content onto S3. My blog uses two S3 buckets: one for staging and testing, and one for production. As a website owner, I want to update the production bucket with all changes from the staging bucket in a reliable and efficient way, without having to create and ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: Chad Metcalf. One of the more common requests we receive from the community is to package Apache HBase with Cloudera’s Distribution for Apache Hadoop. Lately, I’ve been doing a lot of work on making Cloudera’s packages easy to use, and recently, the HBase team has pitched in to help us deliver compatible HBase packages. We’re pretty excited about this, and we’re looking forward to your feedback. A big thanks to Andrew Purtell, a Senior Architect at TrendMicro and HBase Contributor, for leading this packaging project and providing this guest blog post. -Chad Metcalf ... Read More

Feed: AWS Big Data Blog. Amazon Redshift Spectrum enables you to run Amazon Redshift SQL queries against data that is stored in Amazon S3. With Amazon Redshift Spectrum, you can extend the analytic power of Amazon Redshift beyond the data that is stored on local disks in your data warehouse. You can query vast amounts of data in your Amazon S3 “data lake” without having to go through a tedious and time-consuming extract, transfer, and load (ETL) process. Amazon Redshift Spectrum applies sophisticated query optimization and scales processing across thousands of nodes to deliver fast performance.In this blog post, we have ... Read More

Feed: Percona Database Performance Blog. Author: Kenny Gryp. Kenny Gryp and Ramesh Sivaraman  | June 23, 2017 |  Posted In: Group Replication, High-availability, InnoDB, Percona XtraDB Cluster PREVIOUS POST Thank you for attending the Wednesday, June 21, 2017 high availability webinar titled Percona XtraDB Cluster, Galera Cluster, MySQL Group Replication. In this blog, I will provide answers to the Q & A for that webinar. You can find the slides and a recording of the webinar here. Is there a minimum MySQL server version for Group Replication? MySQL Group Replication is GA since MySQL Community 5.7.17. This is the lowest version that you ... Read More

Feed: All - O'Reilly Media. Author: Ben Lorica. Point patterns. (source: Pixabay). Mike Freedman will deliver a talk entitled “Making PostgreSQL scale for time-series data” at Strata Data in New York City, September 25-28, 2017. Subscribe to the O'Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS. In this episode of the Data Show, I spoke with Michael Freedman, CTO of Timescale and professor of computer science at Princeton University. When I first heard that Freedman and his collaborators were building a time-series database, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Raghavan Madabusi. Overview Datameer, an end-to-end big data analytics platform, is built on Apache Hadoop to perform integration, analysis, and visualization of massive volumes of both structured and unstructured data. It can be rapidly integrated with any data sources such as new and existing data sources to deliver an easy-to-use, cost-effective, and sophisticated solution for big data analytics. It simplifies data extraction, data transformation, data loading, and real-time data retrieval. It helps to gain actionable insights from complex organizational data through data preparation and analytics. In this blog, let us discuss ... Read More

Feed: Cloudera Engineering Blog » Hadoop. Author: Amr Awadallah. (guest blog post by Matei Zaharia) When Apache Hadoop started out, it was designed mainly for running large batch jobs such as web indexing and log mining. Users submitted jobs to a queue, and the cluster ran them in order. However, as organizations placed more data in their Hadoop clusters and developed more computations they wanted to run, another use case became attractive: sharing a MapReduce cluster between multiple users. The benefits of sharing are tremendous: with all the data in one place, users can run queries that they may never ... Read More