AWS Big Data Blog

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights. This data is primarily used for analytical and machine learning purposes, […]

In this post, we outline the steps to copy data between two indexes in the same OpenSearch Serverless collection using the new OpenSearch source feature of OpenSearch Ingestion. This is particularly useful for reindexing operations where you want to change your data schema. OpenSearch Serverless and OpenSearch Ingestion are both serverless services that enable you to seamlessly handle your data workflows, providing optimal performance and scalability.

This post takes a step-by-step approach to showcase how you can use Retrieval Augmented Generation (RAG) to reference real-time tweets as a context for large language models (LLMs). RAG is the process of optimizing the output of an LLM so it references an authoritative knowledge base outside of its training data sources before generating a response. LLMs are trained on vast volumes of data and use billions of parameters to generate original output for tasks such as answering questions, translating languages, and completing sentences.

Amazon Managed Streaming for Kafka (Amazon MSK) is a fully managed service that enables you to build and run applications that use Apache Kafka to process streaming data. It runs open-source versions of Apache Kafka. This means existing applications, tooling, and plugins from partners and the Apache Kafka community are supported without requiring changes to […]

The Amazon EMR runtime for Apache Spark is a performance-optimized runtime that is 100% API compatible with open source Apache Spark. It offers faster out-of-the-box performance than Apache Spark through improved query plans, faster queries, and tuned defaults. Amazon EMR on EC2, Amazon EMR Serverless, Amazon EMR on Amazon EKS, and Amazon EMR on AWS […]

AWS helps SaaS vendors by providing the building blocks needed to implement a streaming application with Amazon Kinesis Data Streams and Amazon Managed Streaming for Apache Kafka (Amazon MSK), and real-time processing applications with Amazon Managed Service for Apache Flink. In this post, we look at implementation patterns a SaaS vendor can adopt when using a streaming platform as a means of integration between internal components, where streaming data is not directly exposed to third parties. In particular, we focus on Amazon MSK.

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. Tens of thousands of customers use Amazon Redshift to process exabytes of data per […]

Multimodal search enables both text and image search capabilities, transforming how users access data through search applications. Consider building an online fashion retail store: you can enhance the users’ search experience with a visually appealing application that customers can use to not only search using text but they can also upload an image depicting a […]

AWS Glue is a serverless data integration service that enables you to run extract, transform, and load (ETL) workloads on your data in a scalable and serverless manner. One of the main advantages of using a cloud platform is its flexibility; you can provision compute resources when you actually need them. However, with this ease […]

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a fully managed orchestration service that makes it straightforward to run data processing workflows at scale. Amazon MWAA takes care of operating and scaling Apache Airflow so you can focus on developing workflows. However, although Amazon MWAA provides high availability within an AWS Region through features […]