AWS Big Data Blog
Category: Amazon Athena
Enhance analytics with Google Trends data using AWS Glue, Amazon Athena, and Amazon QuickSight
In today’s market, business success often lies in the ability to glean accurate insights and predictions from data. However, data scientists and analysts often find that the data they have at their disposal isn’t enough to help them make accurate predictions for their use cases. A variety of factors might alter an outcome and should […]
Improve reusability and security using Amazon Athena parameterized queries
Amazon Athena is a serverless interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) using standard SQL, and you only pay for the amount of data scanned by your queries. If you use SQL to analyze your business on a daily basis, you may find yourself repeatedly […]
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 […]
Audit AWS service events with Amazon EventBridge and Amazon Kinesis Data Firehose
February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Amazon EventBridge is a serverless event bus that makes it easy to build event-driven applications at scale using events generated from your applications, integrated software as a service (SaaS) applications, and AWS […]
Extract ServiceNow data using AWS Glue Studio in an Amazon S3 data lake and analyze using Amazon Athena
Many different cloud-based software as a service (SaaS) offerings are available in AWS. ServiceNow is one of the common cloud-based workflow automation platforms widely used by AWS customers. In the past few years, we saw a lot of customers who wanted to extract and integrate data from IT service management (ITSM) tools like ServiceNow for […]
Query cross-account AWS Glue Data Catalogs using Amazon Athena
Many AWS customers rely on a multi-account strategy to scale their organization and better manage their data lake across different projects or lines of business. The AWS Glue Data Catalog contains references to data used as sources and targets of your extract, transform, and load (ETL) jobs in AWS Glue. Using a centralized Data Catalog […]
Run queries 3x faster with up to 70% cost savings on the latest Amazon Athena engine
Amazon Athena is an interactive query service that makes it easy to analyze data 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. In November 2020, Athena announced the General Availability of the V2 […]
Introducing PII data identification and handling using AWS Glue DataBrew
AWS Glue DataBrew, a visual data preparation tool, now allows users to identify and handle sensitive data by applying advanced transformations like redaction, replacement, encryption, and decryption on their personally identifiable information (PII) data, and other types of data they deem sensitive. With exponential growth of data, companies are handling huge volumes and a wide […]
Improve Amazon Athena query performance using AWS Glue Data Catalog partition indexes
The AWS Glue Data Catalog provides partition indexes to accelerate queries on highly partitioned tables. In the post Improve query performance using AWS Glue partition indexes, we demonstrated how partition indexes reduce the time it takes to fetch partition information during the planning phase of queries run on Amazon EMR, Amazon Redshift Spectrum, and AWS […]
Catalog and analyze Application Load Balancer logs more efficiently with AWS Glue custom classifiers and Amazon Athena
You can query Application Load Balancer (ALB) access logs for various purposes, such as analyzing traffic distribution and patterns. You can also easily use Amazon Athena to create a table and query against the ALB access logs on Amazon Simple Storage Service (Amazon S3). (For more information, see How do I analyze my Application Load […]