AWS Big Data Blog

Category: Analytics

Use the default IAM role in Amazon Redshift to simplify accessing other AWS services

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. Amazon Redshift offers up to three times better price performance than any other cloud data warehouse, and can expand to petabyte scale. Today, tens of thousands of AWS […]

ConexED uses Amazon QuickSight to empower its institutional partners by unifying and curating powerful insights using engagement data

This post was co-written with Michael Gorham, Co-Founder and CTO of ConexED. ConexED is one of the country’s fastest-growing EdTech companies designed specifically for education to enhance the student experience and elevate student success. Founded as a startup in 2008 to remove obstacles that hinder student persistence and access to student services, ConexED provides advisors, […]

View summarized data with Amazon OpenSearch Service Index Transforms

Amazon OpenSearch Service recently announced support for Index Transforms. You can use Index Transforms to extract meaningful information from an existing index, and store the aggregated information in a new index. The key benefit of Index Transforms is faster retrieval of data by performing aggregations, grouping in advance, and storing those results in summarized views. For […]

Configure alerts of high CPU usage in applications using Amazon OpenSearch Service anomaly detection: Part 1

Amazon OpenSearch Service is a fully managed service that makes it easy to deploy, secure, and run Elasticsearch cost-effectively at scale. Amazon OpenSearch Service supports many use cases, including application monitoring, search, security information and event management (SIEM), and infrastructure monitoring. Amazon OpenSearch Service also offers a rich set of functionalities such as UltraWarm, fine-grained […]

Load CDC data by table and shape using Amazon Kinesis Data Firehose Dynamic Partitioning

Amazon Kinesis Data Firehose is the easiest way to reliably load streaming data into data lakes, data stores, and analytics services. Customers already use Amazon Kinesis Data Firehose to ingest raw data from various data sources using direct API call or by integrating Kinesis Data Firehose with Amazon Kinesis Data Streams including “change data capture” […]

SEEK Asia modernizes search with CI/CD and Amazon OpenSearch Service

This post was written in collaboration with Abdulsalam Alshallah (Salam), Software Architect, and Hans Roessler, Principal Software Engineer at SEEK Asia. SEEK is a market leader in online employment marketplaces with deep and rich insights into the future of work. As a global business, SEEK has a presence in Australia, New Zealand, Hong Kong, Southeast Asia, Brazil and Mexico and its websites attract over 400 million visits per year. SEEK Asia’s business operates across seven countries and includes leading portal brands such as and and leverages data and technology to create innovative solutions for candidates and hirers.

In this post, we share how SEEK Asia modernized their search-based system with a continuous integration and continuous delivery (CI/CD) pipeline and Amazon OpenSearch Service.

Visualize live analytics from Amazon QuickSight connected to Amazon OpenSearch Service

Live analytics refers to the process of preparing and measuring data as soon as it enters the database or persistent store. In other words, you get insights or arrive at conclusions immediately. Live analytics enables businesses to respond to events without delay. You can seize opportunities or prevent problems before they happen. Speed is the […]

Use unsupervised training with K-means clustering in Amazon Redshift ML

Amazon Redshift is a fast, petabyte-scale cloud data warehouse delivering the best price–performance. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day 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 […]

Run queries 3x faster with up to 70% cost savings on the latest Amazon Athena engine

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. In November 2020, Athena announced the General Availability of the V2 […]

Lucerna Health uses Amazon QuickSight embedded analytics to help healthcare customers uncover new insights

This is a guest post by Lucerna Health. Founded in 2018, Lucerna Health is a data technology company that connects people and data to deliver value-based care (VBC) results and operational transformation. At Lucerna Health, data is at the heart of our business. Every day, we use clinical, sales, and operational data to help healthcare […]