AWS Big Data Blog

Category: Foundational (100)

Amazon OpenSearch Service’s vector database capabilities explained

Using Amazon OpenSearch Service’s vector database capabilities, you can implement semantic search, Retrieval Augmented Generation (RAG) with LLMs, recommendation engines, and search in rich media. Learn how.

Accelerate onboarding and seamless integration with ThoughtSpot using Amazon Redshift partner integration

Amazon Redshift is a fast, petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all of your data using standard SQL. Tens of thousands of customers today rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse. You can […]

Alexa Smart Properties creates value for hospitality, senior living, and healthcare properties with Amazon QuickSight Embedded

This is a guest post by Preet Jassi from Alexa Smart Properties. Alexa Smart Properties (ASP) is powered by a set of technologies that property owners, property managers, and third-party solution providers can use to deploy and manage Alexa-enabled devices at scale. Alexa can simplify tasks like playing music, controlling lights, or communicating with on-site […]

SANS Institute uses Amazon QuickSight to drive transformational security awareness maturity within organizations

This is a guest post by Carl Marrelli from SANS Institute. The SANS Institute is a world leader in cybersecurity training and certification. For over 30 years, SANS has worked with leading organizations to help ensure security across their organization, as well as with individual IT professionals who want to build and grow their security […]

It’s the Amazon QuickSight Community’s 1st birthday!

Happy birthday Amazon QuickSight Community! We are celebrating 1 year since the launch of our new Community. The Amazon QuickSight Community website is a one-stop-shop where business intelligence (BI) authors and developers from across the globe can ask and answer questions, stay up to date, network, and learn together about Amazon QuickSight. In this post, […]

Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

Showpad aligns sales and marketing teams around impactful content and powerful training, helping sellers engage with buyers and generate the insights needed to continuously improve conversion rates. In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization. Showpad’s legacy solution was fragmented […]

Create threshold alerts on tables and pivot tables in Amazon QuickSight

Amazon QuickSight previously launched threshold alerts on KPIs and gauge charts. Now, QuickSight supports creating threshold alerts on tables and pivot tables—our most popular visual types. This allows readers and authors to track goals or key performance indicators (KPIs) and be notified via email when they are met. These alerts allow readers and authors to […]

Deep Pool boosts software quality control using Amazon QuickSight

Deep Pool Financial Solutions, an investor servicing and compliance solutions supplier, was looking to build key performance indicators to track its software tests, failures, and successful fixes to pinpoint the specific areas for improvement in its client software. Deep Pool was unable to access the large amounts of data that its project management software provided, […]

How Amazon Devices scaled and optimized real-time demand and supply forecasts using serverless analytics

Every day, Amazon devices process and analyze billions of transactions from global shipping, inventory, capacity, supply, sales, marketing, producers, and customer service teams. This data is used in procuring devices’ inventory to meet Amazon customers’ demands. With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics […]

Amazon EMR launches support for Amazon EC2 C7g (Graviton3) instances to improve cost performance for Spark workloads by 7–13%

Amazon EMR provides a managed service to easily run analytics applications using open-source frameworks such as Apache Spark, Hive, Presto, Trino, HBase, and Flink. The Amazon EMR runtime for Spark and Presto includes optimizations that provide over twice the performance improvements compared to open-source Apache Spark and Presto. With Amazon EMR release 6.7, you can […]