AWS Big Data Blog

Amazon OpenSearch Service search enhancements: 2023 roundup

What users expect from search engines has evolved over the years. Just returning lexically relevant results quickly is no longer enough for most users. Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Amazon OpenSearch […]

Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. Today, everyone expects a personalized experience in any application, and organizations are constantly innovating to increase their speed of business operation and decision making. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being […]

Amazon OpenSearch Serverless now supports automated time-based data deletion 

We recently announced a new enhancement to OpenSearch Serverless for managing data retention of Time Series collections and Indexes. OpenSearch Serverless for Amazon OpenSearch Service makes it straightforward to run search and analytics workloads without having to think about infrastructure management. With the new automated time-based data deletion feature, you can specify how long they want […]

Solution design diagram

Run Kinesis Agent on Amazon ECS

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Kinesis Agent is a standalone Java software application that offers a straightforward way to collect and send data to Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose. The agent continuously monitors […]

How smava makes loans transparent and affordable using Amazon Redshift Serverless

This is a guest post co-written by Alex Naumov, Principal Data Architect at smava. smava GmbH is one of the leading financial services companies in Germany, making personal loans transparent, fair, and affordable for consumers. Based on digital processes, smava compares loan offers from more than 20 banks. In this way, borrowers can choose the […]

Accelerate analytics on Amazon OpenSearch Service with AWS Glue through its native connector

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. Data is stored from online systems such as the databases, CRMs, and marketing systems to data stores such as data lakes on Amazon Simple Storage Service (Amazon S3), data warehouses […]

New Amazon CloudWatch log class to cost-effectively scale your AWS Glue workloads

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, and combine data for analytics, machine learning (ML), and application development. You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. One of […]

Sun King uses Amazon Redshift data sharing to accelerate data analytics and improve user experience

This post is co-authored with Guillaume Saint-Martin at Sun King.  Sun King is the world’s leading off-grid solar energy company, and is on a mission to power access to brighter lives through off-grid solar. Sun King designs, distributes, installs, and finances solar home energy products for people currently living without reliable energy access. It serves […]

AWS re:Invent 2023 Amazon Redshift Sessions Recap

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Customers use Amazon Redshift as a key component of their data architecture to drive use cases from typical dashboarding to self-service analytics, real-time analytics, machine learning […]

Build efficient ETL pipelines with AWS Step Functions distributed map and redrive feature

AWS Step Functions is a fully managed visual workflow service that enables you to build complex data processing pipelines involving a diverse set of extract, transform, and load (ETL) technologies such as AWS Glue, Amazon EMR, and Amazon Redshift. You can visually build the workflow by wiring individual data pipeline tasks and configuring payloads, retries, […]