Tag: query

Feed: AWS Partner Network (APN) Blog. Author: Saunak Chandra. By Mitesh Shah, Sr. Cloud Product Manager at Denodo TechnologiesBy Saunak Chandra, Sr. Solutions Architect at AWSOrganizations of all sizes are facing an increasingly complex data landscape. Data now resides in multiple on-premises systems and across cloud environments, and applications need to consume data regardless of its location. The growing numbers and volumes of data sources are increasingly difficult to manage, and enterprises are grappling with emerging business requirements such as artificial intelligence (AI), machine learning (ML), cloud integration, and more. The need for greater agility and faster time-to-market is clear, ... Read More

Feed: Clustrix Blog. Author: Anders Karlsson. Spider is a storage engine for MariaDB Platform that allows you to build distributed databases from a standard MariaDB setup. The technology is not per se complicated, although the implementation is. This blog will explain how the Spider storage engine works, what it does and will also show some of the use cases.MariaDB Storage Engines Before we look at the Spider storage engine, let’s have a quick look at the Storage Engine concept. A storage engine is the implementation of code that manages the low level of data access in MariaDB. The storage engine ... Read More

Feed: AWS Big Data Blog. Amazon EMR is happy to announce Amazon EMR runtime for Apache Spark, a performance-optimized runtime environment for Apache Spark that is active by default on Amazon EMR clusters. EMR runtime for Spark is up to 32 times faster than EMR 5.16, with 100% API compatibility with open-source Spark. This means that your workloads run faster, saving you compute costs without making any changes to your applications.Amazon EMR has been adding Spark runtime improvements since EMR 5.24, and discussed them in Optimizing Spark Performance. EMR 5.28 features several new improvements. To measure these improvements, we compared ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: Daniel Bernao. To help solve a few challenges I faced with my family, including the need to track the location of a child, I needed a serverless global positioning system (GPS) monitoring solution. Commercial geographic monitoring GPS solutions are not cost-effective because of the cost of digital map licenses from third parties and running servers around the clock. Existing GPS systems work with proprietary GPS devices that lock-in the users’ vendors’ devices. Alerts and geofencing are normally limited to static geofencing, but I needed to track the distance between two moving points ... Read More

Feed: Microsoft Azure Blog. Author: Jeffrey Zhu. Over the last couple of years, deep learning has become widely adopted across the Bing search stack and powers a vast number of our intelligent features. We use natural language models to improve our core search algorithm’s understanding of a user’s search intent and the related webpages so that Bing can deliver the most relevant search results to our users. We rely on deep learning computer vision techniques to enhance the discoverability of billions of images even if they don’t have accompanying text descriptions or summary metadata. We leverage machine-based reading comprehension models ... Read More

Feed: Microsoft Azure Blog. Author: Heather Jordan Cartwright. Microsoft is expanding the ecosystem of FHIR® for developers with a new tool to securely ingest, normalize, and persist Protected Health Information (PHI) from IoMT devices in the cloud.   Continuing our commitment to remove the barriers of interoperability in healthcare, we are excited to expand our portfolio of Open Source Software (OSS) to support the HL7 FHIR Standard (Fast Healthcare Interoperability Resource). The release of the new IoMT FHIR Connector for Azure is available today in GitHub. The Internet of Medical Things (IoMT) is the subset of IoT devices that capture and ... Read More

Feed: Planet PostgreSQL. 18 Nov 2019 The OGR FDW now pushes spatial filters down to remote data sources! Whuuuut?!?!? The Basics OK, first, “OGR” is a subcomponent of the GDAL toolkit that allows generic access to dozens of different geospatial file formats. The OGR part handles the “vector” data (points, lines and polygons) and the GDAL part handles the “raster” data (imagery, elevation grids). Second, “FDW” is a “foreign data wrapper”, an extension API for PostgreSQL that allows developers to connect non-database information to the database and present it in the form of a table. The simplest FDWs, like the ... Read More

Feed: MemSQL Blog. Author: Floyd Smith. How does a major technology services company equip itself to compete in the digital age – and provide services so outstanding that they can significantly advance the business prospects of their customers? All while reducing complexity, cutting costs, and tightening SLAs – in some cases, by 10x or more? For one such company, the solution is to deliver real-time, operational analytics with Kafka and MemSQL. In this company, data flowed through several data stores, and from a relational, SQL database, into NoSQL data stores for batch query processing, and back into SQL for BI, ... Read More

Feed: Recent Announcements. The new monitoring dashboard in the new Redshift Console makes it easier for administrators to monitor all of their Redshift clusters from a single page by unifying all relevant information such as availability status, cluster and query performance, events, and alarms. This lets administrators quickly understand activity associated with their workloads. The new console simplifies the management of Redshift clusters by streamlining user experiences and reducing the number of clicks for everyday operations. You can view your queries associated with workload management queues and correlate them with cluster performance.  The new console reduces the time needed to ... Read More

Feed: Planet MySQL; Author: Mikael Ronström; MySQL Cluster 8.0.18 RC2 was released a few weeks back packed with a set of new interesting things.One major change we have done is to increase the number of data nodes from 48 to 144. There is also ongoing work to fully support 3 and 4 replicas in MySQL Cluster 8.0. NDB has actually always been designed to handle up to 4 replicas. But the test focus have previously been completely focused on 2 replicas. Now we expanded our test focus to also verify that 3 and 4 replicas work well. This means that ... Read More