- Sumerian: AWS Helps Developers Build VR and 3-D Apps
- AWS Launches Cloud-Based Video Processing Service
- VMware and AWS Announce Updates for Their Hybrid Cloud
- AWS Launches Machine Learning Competency to Partners
- AWS Launches a Bare-Metal EC2 hypervisor with a New I3 Instance
- GuardDuty is AWS Taps Machine Learning to Secure ItsCloud
- AWS Updates Aurora, DynamoDB, Unveils Neptune graph Database
- Kubernetes Service, Hands-Free Container Deployment Available at AWS
- AWS Partners Now Have the Opportunity to Gain Networking Competency
re:Invent 2017 – AWS Makes it Easier to Sort Through Data in S3 Storage and Glacier Storage The two new Amazon Web Services (AWS), features that were unveiled at this week’s re:Invent conference aim to make the Amazon S3 storage and AWS Glacier storage services more useful and efficient for analytics. AWS CEO Andy Jassy presented the services, Amazon S3 Select, and Glacier Select, during Wednesday’s re:Invent keynote presentation. Jassy stated that Amazon S3 is the most popular service in the industry for data lakes. However, users often ask for a faster way to filter data so they only get the relevant results the first time. Amazon S3 Select is designed to address this issue by “[enabling] apps to retrieve only a subsection of data from an object using simple SQL expressions,” Randall Hunt, Senior Technical Evangelist at AWS, stated in a blog post. This results in faster processing times and lower resource utilization costs. Amazon S3 Select is currently available for free preview. Sign up here to get started. The new Glacier Select service, which is available for archival data storage, performs a similar function. Glacier Select allows users to run queries directly on Glacier data and retrieves only the relevant data in minutes. In his keynote, Jassy explained that customers have the option of using Glacier to supplement their Amazon S3 data lake. Glacier Select is now available, with pricing determined by the amount of data scanned and retrieved. More information is available here. More information from AWS reInvent 2017:
ByDelilah
Nov 11, 2022