AWS Big Data Blog

Category: AWS Big Data

Analyzing VPC Flow Logs using Amazon Athena, and Amazon QuickSight

February 2, 2022: Blog updated by Chaitanya Shah. February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Organizations of different size who migrate their applications in cloud or applications born in cloud makes use of various cloud services to innovate and […]

Big Updates to the Big Data on AWS Training Course!

AWS offers a range of training resources to help you advance your knowledge with practical skills so you can get more out of the cloud. We’ve updated Big Data on AWS, a three-day, instructor-led training course to keep pace with the latest AWS big data innovations. This course allows you to hear big data best […]

Analyze Security, Compliance, and Operational Activity Using AWS CloudTrail and Amazon Athena

As organizations move their workloads to the cloud, audit logs provide a wealth of information on the operations, governance, and security of assets and resources. As the complexity of the workloads increases, so does the volume of audit logs being generated. It becomes increasingly difficult for organizations to analyze and understand what is happening in […]

Harmonize, Search, and Analyze Loosely Coupled Datasets on AWS

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. You have come up with an exciting hypothesis, and now you are keen to find and analyze as much data as possible to prove (or refute) it. There are many datasets that might be applicable, but they have been created […]

Scheduled Refresh for SPICE Data Sets on Amazon QuickSight

Jose Kunnackal is a Senior Product Manager for Amazon Quicksight This blog post has been translated into Japanese. In November 2016, we launched Amazon QuickSight, a cloud-powered, business analytics service that lets you quickly and easily visualize your data. QuickSight uses SPICE (Super-fast, Parallel, In-Memory Calculation Engine), a fully managed data store that enables blazing […]

Create Tables in Amazon Athena from Nested JSON and Mappings Using JSONSerDe

July 2024: This post was reviewed and updated for accuracy. February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Most systems use Java Script Object Notation (JSON) to log event information. Although it’s efficient and flexible, deriving information from JSON is […]

AWS Big Data is Coming to HIMSS!

The AWS Big Data team is coming to HIMSS, the industry-leading conference for professionals in the field of healthcare technology. The conference brings together more than 40,000 health IT professionals, clinicians, administrators, and vendors to talk about the latest innovations in health technology. Because transitioning healthcare to the cloud is at the forefront of this […]

Migrate External Table Definitions from a Hive Metastore to Amazon Athena

For customers who use Hive external tables on Amazon EMR, or any flavor of Hadoop, a key challenge is how to effectively migrate an existing Hive metastore to Amazon Athena, an interactive query service that directly analyzes data stored in Amazon S3. With Athena, there are no clusters to manage and tune, and no infrastructure to […]

Implement Serverless Log Analytics Using Amazon Kinesis Analytics

Applications log a large amount of data that—when analyzed in real time—provides significant insight into your applications. Real-time log analysis can be used to ensure security compliance, troubleshoot operation events, identify application usage patterns, and much more. Ingesting and analyzing this data in real time can be accomplished by using a variety of open source […]