AWS Big Data Blog

Make data available for analysis in seconds with Upsolver low-code data pipelines, Amazon Redshift Streaming Ingestion, and Amazon Redshift Serverless

Amazon Redshift is the most widely used cloud data warehouse. Amazon Redshift makes it easy and cost-effective to perform analytics on vast amounts of data. Amazon Redshift launched Streaming Ingestion for Amazon Kinesis Data Streams, which enables you to load data into Amazon Redshift with low latency and without having to stage the data in […]

Solution Architecture

Build and deploy custom connectors for Amazon Redshift with Amazon Lookout for Metrics

Amazon Lookout for Metrics detects outliers in your time series data, determines their root causes, and enables you to quickly take action. Built from the same technology used by Amazon.com, Lookout for Metrics reflects 20 years of expertise in outlier detection and machine learning (ML). Read our GitHub repo to learn more about how to […]

Architecture Diagram

Query and visualize Amazon Redshift operational metrics using the Amazon Redshift plugin for Grafana

Grafana is a rich interactive open-source tool by Grafana Labs for visualizing data across one or many data sources. It’s used in a variety of modern monitoring stacks, allowing you to have a common technical base and apply common monitoring practices across different systems. Amazon Managed Grafana is a fully managed, scalable, and secure Grafana-as-a-service […]

aws glue blog

Build a serverless pipeline to analyze streaming data using AWS Glue, Apache Hudi, and Amazon S3

Organizations typically accumulate massive volumes of data and continue to generate ever-exceeding data volumes, ranging from terabytes to petabytes and at times to exabytes of data. Such data is usually generated in disparate systems and requires an aggregation into a single location for analysis and insight generation. A data lake architecture allows you to aggregate […]

Automate Amazon Redshift load testing with the AWS Analytics Automation Toolkit

This blog post was last reviewed and updated July 2022, to be consistent with the new menu interface launched by the AWS Analytics Automation Toolkit. Amazon Redshift is a fast, fully managed, widely popular cloud data warehouse that powers the modern data architecture that empowers you with fast and deep insights and machine learning (ML) […]

ProLink uses Amazon QuickSight to enable states to deliver housing assistance to those in need

This is a joint post by ProLink Solutions and AWS. ProLink Solutions builds software solutions for emergency fund deployment to help state agencies distribute funds to homeowners in need. Over the past 20 years, ProLink Solutions has developed software for the affordable housing industry, designed to make the experience less complicated and easy to report […]

Perform ETL operations using Amazon Redshift RSQL

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 and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. Tens of thousands of customers use Amazon Redshift to process exabytes of data per […]

GDAC architecture

How the Georgia Data Analytics Center built a cloud analytics solution from scratch with the AWS Data Lab

This is a guest post by Kanti Chalasani, Division Director at Georgia Data Analytics Center (GDAC). GDAC is housed within the Georgia Office of Planning and Budget to facilitate governed data sharing between various state agencies and departments. The Office of Planning and Budget (OPB) established the Georgia Data Analytics Center (GDAC) with the intent […]

Improved performance with AWS Graviton2 instances on Amazon OpenSearch Service

Amazon OpenSearch Service is a fully managed service at AWS for OpenSearch. It’s an open-source search and analytics suite used for a broad set of use cases, like real-time application monitoring, log analytics, and website search. While running an OpenSearch Service domain, you can choose from a variety of instances for your primary nodes and […]

ETL orchestration using the Amazon Redshift Data API and AWS Step Functions with AWS SDK integration

Extract, transform, and load (ETL) serverless orchestration architecture applications are becoming popular with many customers. These applications offers greater extensibility and simplicity, making it easier to maintain and simplify ETL pipelines. A primary benefit of this architecture is that we simplify an existing ETL pipeline with AWS Step Functions and directly call the Amazon Redshift […]