AWS Big Data Blog
Author: Soujanya Konka
Resize Amazon Redshift from DC2 to RA3 with minimal or no downtime
Amazon Redshift is a popular cloud data warehouse that allows you to process exabytes of data across your data warehouse, operational database, and data lake using standard SQL. Amazon Redshift offers different node types like DC2 (dense compute) and RA3, which you can use for your different workloads and use cases. For more information about […]
Visualize MongoDB data from Amazon QuickSight using Amazon Athena Federated Query
In this post, you will learn how to use Amazon Athena Federated Query to connect a MongoDB database to Amazon QuickSight in order to build dashboards and visualizations. Amazon Athena is a serverless interactive query service, based on Presto, that provides full ANSI SQL support to query a variety of standard data formats, including CSV, […]
Migrate to an Amazon Redshift Lake House Architecture from Snowflake
The need to derive meaningful and timely insights increases proportionally with the amount of data being collected. Data warehouses play a key role in storing, transforming, and making data easily accessible to enable a wide range of use cases, such as data mining, business intelligence (BI) and reporting, and diagnostics, as well as predictive, prescriptive, […]