AWS Big Data Blog
Category: Analytics
SmugMug’s durable search pipelines for Amazon OpenSearch Service
SmugMug operates two very large online photo platforms, SmugMug and Flickr, enabling more than 100 million customers to safely store, search, share, and sell tens of billions of photos. Customers uploading and searching through decades of photos helped turn search into critical infrastructure, growing steadily since SmugMug first used Amazon CloudSearch in 2012, followed by […]
Load data incrementally from transactional data lakes to data warehouses
Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. An open table format such as Apache Hudi, Delta Lake, or Apache Iceberg is widely used to build data lakes […]
Enhance your security posture by storing Amazon Redshift admin credentials without human intervention using AWS Secrets Manager integration
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. Today, tens of thousands of AWS customers—from Fortune 500 companies, startups, and everything in between—use Amazon Redshift to run mission-critical business intelligence (BI) dashboards, […]
Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT
In this post, we show how to migrate a data warehouse from Microsoft Azure Synapse to Redshift Serverless using AWS Schema Conversion Tool (AWS SCT) and AWS SCT data extraction agents. AWS SCT makes heterogeneous database migrations predictable by automatically converting the source database code and storage objects to a format compatible with the target database.
Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS
Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Using Spark SQL to run Hive workloads provides not only the simplicity of SQL-like queries but also taps into the exceptional speed and performance provided by Spark. Spark SQL is an Apache Spark module for structured data processing. One […]
Unleash the power of Snapshot Management to take automated snapshots using Amazon OpenSearch Service
Snapshot Management helps you create point-in-time backups of your domain using OpenSearch Dashboards, including both data and configuration settings (for visualizations and dashboards). You can use these snapshots to restore your cluster to a specific state, recover from potential failures, and even clone environments for testing or development purposes. In this post, we share how to use Snapshot Management to take automated snapshots using OpenSearch Service.
Accelerate your data warehouse migration to Amazon Redshift – Part 7
In this post, we describe at a high-level how CDC tasks work in AWS SCT. Then we deep dive into an example of how to configure, start, and manage a CDC migration task. We look briefly at performance and how you can tune a CDC migration, and then conclude with some information about how you can get started on your own migration.
Processing large records with Amazon Kinesis Data Streams
In this post, we show you some different options for handling large records within Kinesis Data Streams and the benefits and disadvantages of each approach. We provide some sample code for each option to help you get started with any of these approaches with your own workloads.
Achieve higher query throughput: Auto scaling in Amazon OpenSearch Serverless now supports shard replica scaling
Amazon OpenSearch Serverless is the serverless option for Amazon OpenSearch Service that makes it simple for you to run search and analytics workloads without having to think about infrastructure management. We recently announced new enhancements to autoscaling in OpenSearch Serverless that scales capacity automatically in response to your query loads. At launch, OpenSearch Serverless supported […]
How healthcare organizations can analyze and create insights using price transparency data
In recent years, there has been a growing emphasis on price transparency in the healthcare industry. Under the Transparency in Coverage (TCR) rule, hospitals and payors to publish their pricing data in a machine-readable format. With this move, patients can compare prices between different hospitals and make informed healthcare decisions. For more information, refer to […]









