Category: Advanced (300)

Amazon OpenSearch Service is a managed service that makes it easy to secure, deploy, and operate OpenSearch and legacy Elasticsearch clusters at scale in the AWS Cloud. Amazon OpenSearch Service provisions all the resources for your cluster, launches it, and automatically detects and replaces failed nodes, reducing the overhead of self-managed infrastructures. The service makes […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Amazon Virtual Private Cloud (Amazon VPC) flow logs enable you to track the IP traffic going to and from the network interfaces in your VPC for your workloads. Analyzing VPC logs helps […]

Amazon Redshift is a fast, scalable, secure, and fully-managed data warehouse that enables you to analyze all of your data using standard SQL easily and cost-effectively. Amazon Redshift Data Sharing allows customers to securely share live, transactionally consistent data in one Amazon Redshift cluster with another Amazon Redshift cluster across accounts and regions without needing to […]

Amazon Redshift is a fast, fully-managed, petabyte scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Using Amazon Redshift Serverless and Query Editor v2, you can load and query large datasets in just a few clicks and pay only for what you use. The decoupled compute and […]

Amazon OpenSearch Service makes it easy for you to perform interactive log analytics, real-time application monitoring, website search, and more. Amazon OpenSearch is an open source, distributed search and analytics suite. Amazon OpenSearch Service offers the latest versions of OpenSearch, support for 19 versions of Elasticsearch (1.5 to 7.10 versions), as well as visualization capabilities […]

Amazon Redshift is a fast, fully managed, petabyte-scale cloud data warehouse that enables you to analyze large datasets using standard SQL. The concurrency scaling feature in Amazon Redshift automatically adds and removes capacity by adding concurrency scaling to handle demands from thousands of concurrent users, thereby providing consistent SLAs for unpredictable and spiky workloads such […]

AWS Lake Formation makes it easier to centrally govern, secure, and share data for analytics with familiar database-style grant features managed through the Glue Data Catalog. Lake Formation provides a single place to define fine-grained access control on catalog resources. These permissions are granted to the principals by a data lake admin, and integrated engines […]

Amazon DynamoDB is ideal for applications that need a flexible NoSQL database with low read and write latencies and the ability to scale storage and throughput up or down as needed without code changes or downtime. You can use DynamoDB for use cases including mobile apps, gaming, digital ad serving, live voting, audience interaction for live […]

Organizations are working towards centralizing their identity and access strategy across all their applications, including on-premises, third-party, and applications on AWS. Many organizations use identity providers (IdPs) based on OIDC or SAML-based protocols like Microsoft Azure Active Directory (Azure AD) and manage user authentication along with authorization centrally. This authorizes users to access Amazon QuickSight […]

In this post, we show how to use Amazon QuickSight and Amazon Athena Federated Query to build dashboards and visualizations on data that is stored in Microsoft Azure Synapse databases. Organizations today use data stores that are best suited for the applications they build. Additionally, they may also continue to use some of their legacy […]