Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using
queries that you run.
Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying
using standard SQL. Most results are delivered within seconds. With Athena, there’s no need for complex
extract, transform, and load (ETL) jobs to prepare your data for analysis. This makes it easy for anyone
with SQL skills to quickly analyze large-scale datasets.
Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified
metadata repository across various services, crawl data sources to discover schemas and populate your
Catalog with new and modified table and partition definitions, and maintain schema versioning.
AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud. Qualified
unique news stories per year in multiple languages; Change Healthcare, who process and anonymize
more than 14 billion healthcare transactions and $1 trillion in claims annually; Dun & Bradstreet, who
maintain a database of more than 330 million global business records; and Foursquare, whose location
data is derived from 220 million unique consumers and includes more than 60 million global commercial
venues.
Once subscribed to a data product, you can use the AWS Data Exchange API to load data directly into Amazon S3 and then analyze it with a wide variety of AWS analytics and machine learning services.
For example, property insurers can subscribe to data to analyze historical weather patterns to calibrate
insurance coverage requirements in different geographies; restaurants can subscribe to population and
location data to identify optimal regions for expansion; academic researchers can conduct studies on
climate change by subscribing to data on carbon dioxide emissions; and healthcare professionals can
subscribe to aggregated data from historical clinical trials to accelerate their research activities.
For data providers, AWS Data Exchange makes it easy to reach the millions of AWS customers migrating
to the cloud by removing the need to build and maintain infrastructure for data storage, delivery, billing,
and entitling.
The AWS Storage Gateway is a hybrid storage service that enables your on-premises applications to seamlessly use AWS cloud storage. You can use the service for backup and archiving, disaster recovery, cloud data processing, storage tiering, and migration. Your applications connect to the service through a virtual machine or hardware gateway appliance using standard storage protocols, such as NFS, SMB and iSCSI. The gateway connects to AWS storage services, such as Amazon S3, Amazon S3 Glacier, and Amazon EBS, providing storage for files, volumes, and virtual tapes in AWS. The service includes a highly-optimized data transfer mechanism, with bandwidth management, automated network resilience, and efficient data transfer, along with a local cache for low-latency on-premises access to your most active data.
With each release, VMware Cloud on AWS availability will expand into additional global regions. VMware Cloud on AWS brings the broad, diverse and rich innovations of AWS services natively to the enterprise applications running on VMware’s compute, storage and network virtualization platforms. This allows organizations to easily and rapidly add new innovations to their enterprise applications by natively integrating AWS infrastructure and platform capabilities such as AWS Lambda, Amazon Simple Queue Service (SQS), Amazon S3, Elastic Load Balancing, Amazon RDS, Amazon DynamoDB, Amazon Kinesis, and Amazon Redshift, among many others.
Amazon AppFlow is a fully managed integration service that enables you to securely transfer data
AWS services like Amazon S3 and Amazon Redshift, in just a few clicks. With Amazon AppFlow, you can
run data flows at enterprise scale at the frequency you choose - on a schedule, in response to a business
event, or on demand. You can configure data transformation capabilities like filtering and validation to
generate rich, ready-to-use data as part of the flow itself, without additional steps. Amazon AppFlow
automatically encrypts data in motion, and allows users to restrict data from flowing over the public
Internet for SaaS applications that are integrated with AWS PrivateLink, reducing exposure to security
threats.
Amazon Route 53 is a highly available and scalable cloud Domain Name System (DNS) web service. It
numeric IP addresses, such as 192.0.2.1, that computers use to connect to each other. Amazon Route 53
is fully compliant with IPv6 as well.
Amazon Route 53 effectively connects user requests to infrastructure running in AWS—such as EC2
instances, Elastic Load Balancing load balancers, or Amazon S3 buckets—and can also be used to route
users to infrastructure outside of AWS. You can use Amazon Route 53 to configure DNS health checks
to route traffic to healthy endpoints or to independently monitor the health of your application and
its endpoints. Amazon Route 53 traffic flow makes it easy for you to manage traffic globally through
a variety of routing types, including latency-based routing, Geo DNS, and weighted round robin—all
of which can be combined with DNS Failover in order to enable a variety of low-latency, fault-tolerant
architectures. Using Amazon Route 53 traffic flow’s simple visual editor, you can easily manage how your
end users are routed to your application’s endpoints—whether in a single AWS Region or distributed
around the globe. Amazon Route 53 also offers Domain Name Registration—you can purchase and
manage domain names such as example.com and Amazon Route 53 will automatically configure DNS
settings for your domains.