AWS Big Data Blog

Amazon OpenSearch Service’s vector database capabilities explained

Using Amazon OpenSearch Service’s vector database capabilities, you can implement semantic search, Retrieval Augmented Generation (RAG) with LLMs, recommendation engines, and search in rich media. Learn how.

Accelerate onboarding and seamless integration with ThoughtSpot using Amazon Redshift partner integration

Amazon Redshift is a fast, petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all of your data using standard SQL. Tens of thousands of customers today rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse. You can […]

Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

Amazon DynamoDB is a fully managed NoSQL service that delivers single-digit millisecond performance at any scale. It’s used by thousands of customers for mission-critical workloads. Typical use cases for DynamoDB are an ecommerce application handling a high volume of transactions, or a gaming application that needs to maintain scorecards for players and games. In traditional […]

Stream VPC Flow Logs to Datadog via Amazon Kinesis Data Firehose

It’s common to store the logs generated by customer’s applications and services in various tools. These logs are important for compliance, audits, troubleshooting, security incident responses, meeting security policies, and many other purposes. You can perform log analysis on these logs to understand users’ application behavior and patterns to make informed decisions. When running workloads […]

Accelerate data science feature engineering on transactional data lakes using Amazon Athena with Apache Iceberg

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) and data sources residing in AWS, on-premises, or other cloud systems using SQL or Python. Athena is built on open-source Trino and Presto engines, and Apache Spark frameworks, with no provisioning or configuration effort […]

Multi-tenancy Apache Kafka clusters in Amazon MSK with IAM access control and Kafka Quotas – Part 1

With Amazon Managed Streaming for Apache Kafka (Amazon MSK), you can build and run applications that use Apache Kafka to process streaming data. To process streaming data, organizations either use multiple Kafka clusters based on their application groupings, usage scenarios, compliance requirements, and other factors, or a dedicated Kafka cluster for the entire organization. It […]

Multi-tenancy Apache Kafka clusters in Amazon MSK with IAM access control and Kafka quotas – Part 2

Kafka quotas are integral to multi-tenant Kafka clusters. They prevent Kafka cluster performance from being negatively affected by poorly behaved applications overconsuming cluster resources. Furthermore, they enable the central streaming data platform to be operated as a multi-tenant platform and used by downstream and upstream applications across multiple business lines. Kafka supports two types of quotas: […]

Ingest, transform, and deliver events published by Amazon Security Lake to Amazon OpenSearch Service

With the recent introduction of Amazon Security Lake, it has never been simpler to access all your security-related data in one place. Whether it’s findings from AWS Security Hub, DNS query data from Amazon Route 53, network events such as VPC Flow Logs, or third-party integrations provided by partners such as Barracuda Email Protection, Cisco […]

Optimize queries using dataset parameters in Amazon QuickSight

Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, embedded analytics and natural language queries. We have introduced dataset parameters, a new kind of parameter in QuickSight that can help you […]

Best practices for enabling business users to answer questions about data using natural language in Amazon QuickSight

In this post, we explain how you can enable business users to ask and answer questions about data using their everyday business language by using the Amazon QuickSight natural language query function, Amazon QuickSight Q. QuickSight is a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and […]