AWS Big Data Blog

Like virtually all customers, you want to spend as little as possible while getting the best possible performance. This means you need to pay attention to price-performance. With Amazon Redshift, you can have your cake and eat it too! Amazon Redshift delivers up to 4.9 times lower cost per user and up to 7.9 times […]

Software upgrades bring new features and better performance, and keep you current with the software provider. However, upgrades for software services can be difficult to complete successfully, especially when you can’t tolerate downtime and when the new version’s APIs introduce breaking changes and deprecation that you must remediate. This post shows you how to upgrade […]

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Data analysts and database developers want to use this data to train machine learning (ML) models, which can then be used to generate insights on new data for use cases such as forecasting […]

As the scale and complexity of microservices and distributed applications continues to expand, customers are seeking guidance for building cost-efficient infrastructure supporting operational analytics use cases. Operational analytics is a popular use case with Amazon OpenSearch Service. A few of the defining characteristics of these use cases are ingesting a high volume of time series […]

In this post, we discuss how AWS can help you successfully address the challenges of extracting insights from unstructured data. We discuss various design patterns and architectures for extracting and cataloging valuable insights from unstructured data using AWS. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data.

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud, providing up to five times better price-performance than any other cloud data warehouse, with performance innovation out of the box at no additional cost to you. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to […]

With the release of Amazon OpenSearch Service 2.5, you can create maps with multiple layers to visualize your geographical data. You can build each layer from a different index pattern to separate data sources. Organizing the map in layers makes it more straightforward to visualize, view, and analyze geographical data. The layering also helps fetch […]

At AWS re:Invent 2022, Amazon Athena launched support for Apache Spark. With this launch, Amazon Athena supports two open-source query engines: Apache Spark and Trino. Athena Spark allows you to build Apache Spark applications using a simplified notebook experience on the Athena console or through Athena APIs. Athena Spark notebooks support PySpark and notebook magics […]

Amazon MSK Connect is a feature of Amazon Managed Streaming for Apache Kafka (Amazon MSK) that offers a fully managed Apache Kafka Connect environment on AWS. With MSK Connect, you can deploy fully managed connectors built for Kafka Connect that move data into or pull data from popular data stores like Amazon S3 and Amazon […]

In this post, we use Azure Blob Storage as an example and demonstrate how the new connector works, introduce the connector’s functions, and provide you with key steps to set it up. We provide you with prerequisites, share how to subscribe to this connector in AWS Marketplace, and describe how to create and run AWS Glue for Apache Spark jobs with it. Regarding the Azure Data Lake Storage Gen2 Connector, we highlight any major differences in this post.