Today, I’m excited to announce a new, redesigned user interface (UI) for Amazon SageMaker Studio. SageMaker Studio provides a single, web-based visual interface where you can perform all machine learning (ML) development steps with a comprehensive set of ML tools. For example, you can prepare data using SageMaker Data Wrangler, build ML models with fully managed Jupyter notebooks, and deploy models using SageMaker’s multi-model endpoints. Introducing the Redesigned UI for Amazon SageMaker Studio The redesigned UI makes it easier for you to discover and get started with the ML tools in SageMaker Studio. One highlight of the new UI includes a redesigned navigation menu with links to SageMaker capabilities that follow the typical ML development workflow from preparing data to…
Month: November 2022
Announcing Amazon DocumentDB Elastic Clusters
Amazon DocumentDB (with MongoDB compatibility) is a scalable, highly durable, and fully managed database service for operating mission-critical JSON workloads. It is one of AWS fast-growing services with customers including BBC, Dow Jones, and Samsung relying on Amazon DocumentDB to run their JSON workloads at scale. Today I am excited to announce the general availability of Amazon DocumentDB Elastic Clusters. Elastic Clusters enables you to elastically scale your document database to handle virtually any number of writes and reads, with petabytes of storage capacity. Elastic Clusters simplifies how customers interact with Amazon DocumentDB by automatically managing the underlying infrastructure and removing the need to create, remove, upgrade, or scale instances. A Few Concepts about Elastic Clusters Sharding – A popular…
New — Amazon Athena for Apache Spark
When Jeff Barr first announced Amazon Athena in 2016, it changed my perspective on interacting with data. With Amazon Athena, I can interact with my data in just a few steps—starting from creating a table in Athena, loading data using connectors, and querying using the ANSI SQL standard. Over time, various industries, such as financial services, healthcare, and retail, have needed to run more complex analyses for a variety of formats and sizes of data. To facilitate complex data analysis, organizations adopted Apache Spark. Apache Spark is a popular, open-source, distributed processing system designed to run fast analytics workloads for data of any size. However, building the infrastructure to run Apache Spark for interactive applications is not easy. Customers need…
AWS Verified Access Preview — VPN-less Secure Network Access to Corporate Applications
Today, we announced the preview of AWS Verified Access, a new secure connectivity service that allows enterprises to enable local or remote secure access for their corporate applications without requiring a VPN. Traditionally, remote access to applications when on the road or working from home is granted by a VPN. Once the remote workforce is authenticated on the VPN, they have access to a broad range of applications depending on multiple policies defined in siloed systems, such as the VPN gateway, the firewalls, the identity provider, the enterprise device management solution, etc. These policies are typically managed by different teams, potentially creating overlaps, making it difficult to diagnose application access issues. Internal applications often rely on older authentication protocols, like…