Category: Learning Levels

Amazon OpenSearch Serverless helps you index, analyze, and search your logs and data using OpenSearch APIs and dashboards. The OpenSearch Serverless collection is a group of indexes. API and dashboard clients can access the collections from public networks or one or more VPCs. For VPC access to collections and dashboards, you can create VPC endpoints. […]

Extracting time series on given geographical coordinates from satellite or Numerical Weather Prediction data can be challenging because of the volume of data and of its multidimensional nature (time, latitude, longitude, height, multiple parameters). This type of processing can be found in weather and climate research, but also in applications like photovoltaic and wind power. […]

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Index rebalancing arbitrage takes advantage of short-term price discrepancies resulting from ETF managers’ efforts to […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. In this post, we […]

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers. In many organizations, one or multiple Amazon Redshift data warehouses […]

November 2023: This post was reviewed and updated to include the latest enhancements in Amazon Aurora MySQL zero-ETL integration with Amazon Redshift on general availability (GA). Amazon Aurora zero-ETL integration with Amazon Redshift was announced at AWS re:Invent 2022 and is now generally available (GA) for Aurora MySQL 3.05.0 (compatible with MySQL 8.0.32) and higher […]

AWS Glue interactive sessions allow engineers to build, test, and run data preparation and analytics workloads in an interactive notebook. Interactive sessions provide isolated development environments, take care of the underlying compute cluster, and allow for configuration to stop idling resources. Glue interactive sessions provides default recommended configurations, and also allows users to customize the […]

Large organizations processing huge volumes of data usually store it in Amazon Simple Storage Service (Amazon S3) and query the data to make data-driven business decisions using distributed analytics engines such as Amazon Athena. If you simply run queries without considering the optimal data layout on Amazon S3, it results in a high volume of […]

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.

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 […]