Category: Analytics

Amazon Redshift is a fast, fully managed, cloud-native data warehouse. Tens of thousands of customers have successfully migrated their workloads to Amazon Redshift. We hear from customers that they need case-insensitive collation for strings in Amazon Redshift in order to maintain the same functionality and meet their performance goals when they migrate their existing workloads […]

This blog post is co-written by Glen Douglas and Alex Savchenko from Integrationworx. Enterprises that follow an Agile software development lifecycle (SDLC) process for their dashboard development and deployment typically have distinct environments for development, staging, QA and test, and production. One recommended approach when developing using AWS is to create multiple AWS accounts corresponding […]

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. Before the release of Amazon Kinesis Data Analytics Studio, customers relied on Amazon Kinesis Data Analytics for SQL on Amazon Kinesis Data Streams. With the release of […]

Organizations need a consolidated view of their applications, but typically application health status is siloed: end-users complain on social media platforms, operational data coming from application logs is stored on complex monitoring tools, formal ticketing systems track reported issues, and synthetic monitoring data is only available for the tool administrators. In this post, we show […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Search engines provide the means to retrieve relevant content from a collection of content. However, this can be challenging if certain exact words aren’t entered. You need to find the right item from a catalog of products, or the correct […]

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. In Part 1 of this series, you learned how to calibrate Amazon Kinesis Data Streams stream and Apache Flink application deployed in Amazon Kinesis Data Analytics for […]

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. In real-time stream processing, it becomes critical to collect, process, and analyze high-velocity real-time data to provide timely insights and react quickly to new information. Streaming data […]

July 2023: This post was reviewed for accuracy. With AWS Glue DataBrew, data analysts and data scientists can easily access and visually explore any amount of data across their organization directly from their Amazon Simple Storage Service (Amazon S3) data lake, Amazon Redshift data warehouse, Amazon Aurora, and other Amazon Relational Database Service (Amazon RDS) databases. You can choose from over […]

A recurring business problem is achieving the ability to capture data in near-real time to act upon any significant event close to the moment it happens. For example, you may want to tap into a data stream and monitor any anomalies that need to be addressed immediately rather than during a nightly batch. Building these […]

July 2023: This post was reviewed for accuracy. We announced the general availability of AWS Lake Formation transactions, cell-level and row-level security, and acceleration at AWS re: Invent 2021. In this post, we focus on cell-level and row-level security and show you how to enforce business needs by restricting access to specific rows. Effective data […]