Tag: S3

Feed: Matillion. Author: Julie Polito; Greetings from AWS re:Invent! We wanted to give you up-to-the-minute info on everything happening here with Matillion, but we’ve been a little busy. Monday saw the launch of the newest Matillion product, Matillion Data Loader. But before we could take a deep breath after that launch, we were swept up in the tide of announcements and excitement of AWS re:Invent. Matillion goes big at re:Invent Our newest AE, Bumblebee, working the booth.At a conference with 65,000 attendees and more than 2,500 technical sessions, it’s best to go big. And that’s exactly what Matillion hoped to ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: AWS Public Sector Blog Team. The winners of the annual Amazon Web Services (AWS) City on a Cloud Innovation Challenge were announced today at re:Invent 2019. The annual competition recognizes applicants going above and beyond to innovate for and with their constituents, using the cloud to improve lives. Depending on the award category and scope of the project, winners will be awarded up to $20,000 in AWS Promotional Credits, up to $20,000 in financial support, and up to five training vouchers to help progress their projects by training employees on AWS tools ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: AWS Public Sector Blog Team. FINRA CAT, LLC, a subsidiary of Financial Industry Regulatory Authority (FINRA), announced today it has selected Amazon Web Services (AWS) as its cloud provider for the Consolidated Audit Trail (CAT). The CAT will allow regulators to improve securities market surveillance by creating an extensive audit trail of order information for all U.S. equity securities and listed options across U.S. markets and trading venues. Leveraging AWS’s storage, compute, database, analytics, and security services, CAT ingests more than 100 billion market events per day, pulling together data from 22 stock ... Read More

Feed: Recent Announcements. Real-time analysis of machine-generated data is essential in identifying and resolving operational and security issues for modern applications. With hot storage, Amazon Elasticsearch Service can ingest large amounts of log data and analyze it in real time, but storing months or years of data can be cost-prohibitive at scale. Some users of Elasticsearch use storage-dense D2 instances for warm storage, but that solution struggles to achieve high utilization and requires replica shards for durability. UltraWarm amplifies the benefits of traditional hot-warm configurations. It uses a combination of Amazon S3 and optimized compute nodes powered by the AWS ... Read More

Feed: Recent Announcements. RA3 nodes are built on the AWS Nitro System and feature high bandwidth networking and performance indistinguishable from bare metal. RA3 nodes use very large, high performance SSDs as local caches. RA3 nodes leverage your workload patterns and advanced data management techniques, such as automatic fine-grained data eviction and intelligent data pre-fetching, to deliver the performance of local SSD while scaling storage automatically to S3. RA3 nodes remain fully compatible with all your existing workloads. To get started with RA3 nodes, you can create a cluster with RA3 nodes via the AWS Management Console or the create ... Read More

Feed: Recent Announcements. Kendra is available as a console application for setup and administration workflows, as well as APIs for additional flexibility. Kendra’s preview offers built-in connectors for SharePoint Online, Amazon S3, and databases, or you can use the Kendra API to ingest data from other data sources. For GA, Kendra will offer additional connectors for other popular data sources like Box, Dropbox, Salesforce, and OneDrive. Once your data is ingested, you can immediately test your search in the console, and easily deploy search components to your application with code samples Kendra provides in the console. Amazon Kendra is optimized ... Read More

Feed: Recent Announcements. You can specify one or more partition columns so that unloaded data is automatically partitioned into folders in your Amazon S3 bucket. For example, you can choose to unload your marketing data and partition it by year, month, and day columns. This enables your queries to take advantage of partition pruning and skip scanning non-relevant partitions, improving query performance and minimizing cost. For more information, refer to the Amazon Redshift documentation. Amazon Redshift data lake export is supported with Redshift release version 1.0.10480 or later. Refer to the AWS Region Table for Amazon Redshift availability ... Read More

Feed: Recent Announcements. Amazon S3 Access Points is a new S3 feature that simplifies managing data access at scale for shared data sets on Amazon S3. With S3 Access Points, you can easily create hundreds of access points per bucket, each with a name and permissions customized for the application. This represents a new way of provisioning access to shared data sets. Whether creating an access point for data ingestion, transformation, restricted read access, or unrestricted access, using S3 Access Points simplifies the work of creating and maintaining access to shared S3 buckets ... Read More

Feed: Recent Announcements. Access Analyzer for S3 alerts you when you have a bucket that is configured to allow access to anyone on the internet or that is shared with other AWS accounts. You receive insights or ‘findings’ into the source and level of public or shared access. For example, Access Analyzer for S3 will proactively inform you if read or write access were unintendedly provided through an access control list (ACL) or bucket policy. With these insights, you can immediately set or restore the intended access policy. When reviewing results that show potentially shared access to a bucket, you ... Read More

Feed: Recent Announcements. IAM Access Analyzer continuously monitors policies for changes, meaning customers no longer need to rely on intermittent manual checks in order to catch issues as policies are added or updated. Using IAM Access Analyzer, customers can proactively address any resource policies that violate their security and governance best practices around resource sharing and protect their resources from unintended access. IAM Access Analyzer delivers comprehensive, detailed findings through the AWS IAM, Amazon S3, and AWS Security Hub consoles and also through its APIs. Findings can also be exported as a report for auditing purposes. IAM Access Analyzer findings ... Read More