Category: Analytics

When you use Amazon GuardDuty to help you protect your AWS accounts and workloads, you can enhance your ability to quickly search and visualize a large amount of data. In an enterprise, you might be analysing activity from thousands of accounts. After the analysis, your security team needs to be alerted in order to take […]

More than 100,000 AWS customers have chosen Amazon DynamoDB for mobile, web, gaming, ad tech, IoT, and many other applications. For example, Duolingo uses DynamoDB to store 31 billion items in tables that reach 24,000 read capacity units per second and 3,300 write capacity units per second. DynamoDB can address a wide variety of applications […]

Today, Amazon Elasticsearch Service (Amazon ES) announces support for in-place Elasticsearch upgrades for domains that are running version 5.1 or later. This new feature lets you move to the latest release in the same major version (for example, 5.3 to 5.6) or from the latest release in a major version to the latest release in […]

Many large enterprises are moving their data processing from batch to real-time in order to get more timely insights. The challenge of doing so is that a real-time data processing architecture must be able to keep up with the incoming data stream. This requires strong fault tolerance and elasticity. In this blog post, we discuss […]

In this post, I discuss how to integrate a central Amazon Relational Database Service (Amazon RDS) for PostgreSQL database with other systems by streaming its modifications into Amazon Kinesis Data Streams. An earlier post, Streaming Changes in a Database with Amazon Kinesis, described how to integrate a central RDS for MySQL database with other systems […]

Welcome to this introductory series on Elasticsearch and Amazon Elasticsearch Service (Amazon ES). In this and future blog posts, we provide the basic information that you need to get started with Elasticsearch on AWS. Introduction When you’re spinning up your first Amazon Elasticsearch Service domain, you need to configure the instance types and count, decide […]

You can reap huge analytical value from billions of items and millions of requests per second in your Amazon DynamoDB service. However, you need to export your data in order to get that analytical value. Copying the data from a DynamoDB table to an analytics platform allows you to extract rich insights. In order to […]

Welcome to this introductory series on Elasticsearch and Amazon Elasticsearch Service (Amazon ES). In this and future blog posts, we provide the basic information that you need to get started with Elasticsearch on AWS. Introduction On April 2, 2018, we released integration between Amazon Elasticsearch Service and Amazon Cognito. You can now provide and manage […]

One of the biggest challenges enterprises face is setting up and maintaining a reliable extract, transform, and load (ETL) process to extract value and insight from data. Traditional ETL tools are complex to use, and can take months to implement, test, and deploy. After the ETL jobs are built, maintaining them can be painful because […]

Welcome to this introductory series on Elasticsearch and Amazon Elasticsearch Service (Amazon ES). In this and future blog posts, we provide the basic information that you need to get started with Elasticsearch on AWS. Introduction If you are using an IAM policy or policies that specify a user or role Amazon Resource Name (ARN) to […]