It’s the second day of AWS re:Invent 2022, and it did not disappoint! As predicted in yesterday’s article, today there were many new announcements, and the event is far from over. We sum up the juiciest AWS news for you here in our daily update.
Introducing Amazon DataZone: Dealing with enterprise data at scale
AWS pulled the sheet off Amazon DataZone at the re:Invent conference, a new data management service that helps you share, search, and discover data at scale. You can now get insights and access to data no matter where it’s stored. That means being able to view and manage data across organizational boundaries, to enable fast collaboration with other teams.
According to AWS, this is meant to help administrators and data stewards who oversee an organization’s data assets manage access to data so it is “accessed with the right level of privileges and in the right context.”
“Organizations today collect petabytes, and even exabytes, of data spread across multiple departments, services, on-premises databases, and third-party sources (e.g., partner solutions and public datasets),” AWS announced.
“Organizations must balance the need for control, to ensure data remains secure, with the need for access, to drive new insights, but it is challenging to implement governance policies that take into account the variety of data, departments, and use cases across an organization.
Amazon Security Lake makes its first splash
Amazon Security Lake is a new service — currently in preview — to pull together all your security-related data into a Data Lake. It grabs info from AWS services like CloudTrail, VPC FlowLogs, GuardDuty, and Inspector. But it also connects to on-premises data through Security Partners.
The preview release of Amazon Security Lake is now available in the US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), and Europe (Ireland) Regions.
Full Apache Spark integration with Redshift
Throw away those third-party connectors! Developers can now build Apache spark applications for Redshift with ease, whether they’re working in Sagemaker, AWS Glue, or a similar service.
To get started, you can go to AWS analytics and ML services, and use data frame or Spark SQL code in a Spark job or Notebook to connect to the Amazon Redshift data warehouse. You will need to set up AWS IAM authentication first.
Oh, just one small thing: Opensearch is now serverless
Fans of serverless rejoice! Well, to be clear, we now have “the preview release of a new serverless option for Amazon OpenSearch Service”. So you can use OpenSearch without managing cluster sizes or instance types or any of that jazz. Much better!
ML-powered forecasting with Q
Not the Q from Star Trek, but given you can use it to predict the future with ML, it’s pretty powerful all the same. ML Powered forecasting with Q is a new natural language querying for analyzing business data. Users can now view business performance forecasts quickly and easily. It allows folks who aren’t analysts or data scientists to grab the information they need.
SimSpace Weaver enters the building
With the new SimSpace Weaver service, you can run simulations at scale using EC2 instances. Operations planners often run simulations for things like responses to a disaster, traffic control during an event, and many other applications.
Traditionally, these simulations were run on a single machine, but SimSpace Weaver can run on multiple EC2 instances and be scaled up quickly.
Container level detection with AWS Guard Duty
Guard Duty will soon offer runtime threat detection at the container level. While Guard Duty already protects EKS, it will now go deeper into the container level to ensure your applications run as securely as possible.
When it rains, it pours
That’s a lot of announcements! There are also a ton of new EC2 instance types available, such as Graviton ones — too many to list here! Stay tuned right here as we continue our coverage, and as always, keep being awesome Cloud Gurus!
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