Category: Analytics

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. This is a guest blog post co-written by Rajagopal Mahendran, Development Manager at the Optus IT Innovation Team. Optus is part of The Singtel group, which operates […]

Every business has a set of key metrics that stakeholders focus on to make the most accurate, data-driven decisions, such as sales per week, inventory turnover rate, daily website visitors, and so on. With threshold-based alerts in Amazon QuickSight, we’re making it simpler than ever for consumers of QuickSight dashboards to stay informed about their […]

Many useful business insights can arise from analyzing customer preferences, behavior, and usage patterns. With this information, businesses can innovate faster and improve the customer experience, leading to better engagement and accelerating product adoption. More and more businesses are looking for ways to securely store and restrict access to customer data, which may include personally […]

When data analysts and data scientists prepare data for analysis, they often rely on periodically generated data produced by upstream services, such as labeling datasets from Amazon SageMaker Ground Truth or Cost and Usage Reports from AWS Billing and Cost Management. Alternatively, they can regularly upload such data to Amazon Simple Storage Service (Amazon S3) […]

An integral part of DevOps is adopting the culture of continuous integration and continuous delivery (CI/CD). This enables teams to securely store and version code, maintain parity between development and production environments, and achieve end-to-end automation of the release cycle, including building, testing, and deploying to production. In essence, development teams follow CI/CD processes to […]

Amazon Customer Service solves exciting and challenging customer care problems for Amazon.com, the world’s largest online retailer. In 2021, the Amazon Customer Service Technology team upgraded its dense-compute nodes (dc2.8xlarge) to the Amazon Redshift RA3 instance family (ra3.16xlarge). Moving to the most advanced Amazon Redshift architecture enabled the team to reduce its infrastructure costs, improve […]

Amazon Redshift is a fast, fully managed, widely popular cloud data warehouse that allows you to process exabytes of data across your data warehouse, operational database, and data lake using standard SQL. It offers different node types to accommodate various workloads; you can choose from RA3, DC2, and DS2 depending on your requirements. RA3 is […]

This post is co-written with Steven Wasserman of Vertex, Inc. Amazon Athena is an interactive query service that makes it easy to analyze data stored 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. […]

Log analytics is the most popular use case for Amazon OpenSearch Service, and with the modern-day advent of the architectural tenet to log everything all the time, it can be a challenge to store and analyze this exponential data growth effectively with a minimal price-to-performance tag. With a proliferating number of applications, log volume to […]

This is a guest post by Ori Nakar, Principal Engineer at Imperva. In their own words, “Imperva is a large cyber security company and an AWS Partner Network (APN) Advanced Technology Partner, who protects web applications and data assets. Imperva protects over 6,200 enterprises worldwide and many of them use Imperva Web Application Firewall (WAF) […]