Category: Analytics

As the industry grows with more data volume, big data analytics is becoming a common requirement in data analytics and machine learning (ML) use cases. Also, as we start building complex data engineering or data analytics pipelines, we look for a simpler orchestration mechanism with graphical user interface-based ETL (extract, transform, load) tools. Recently, AWS […]

This is a guest post by Helen Anderson, data analyst and AWS Data Hero Every year, the Amazon Redshift team launches new and exciting features, and 2020 was no exception. New features to improve the data warehouse service and add interoperability with other AWS services were rolling out all year. I am part of a […]

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. Amazon DynamoDB helps you capture high-velocity data such as clickstream data to form customized user profiles and Internet of Things (IoT) data so that you can develop […]

Amazon Athena now supports federated query, a feature that allows you to query data in sources other than Amazon Simple Storage Service (Amazon S3). You can use federated queries in Athena to query the data in place or build pipelines that extract data from multiple data sources and store them in Amazon S3. With Athena […]

June 2024: This post was reviewed and updated to add instructions for using PyDeequ with Amazon SageMaker Notebook, SageMaker Studio, EMR, and updated the examples against a new dataset. March 2023: You can now use AWS Glue Data Quality to measure and manage the quality of your data. AWS Glue Data Quality is built on Deequ […]

Customers who don’t need to set up a VPN or a private connection to AWS often use public endpoints to access AWS. Although this is acceptable for testing out the services, most production workloads need a secure connection to their VPC on AWS. If you’re running your production data warehouse on Amazon Redshift, you can […]

March 2023: You can now use AWS Glue Data Quality to measure and manage the quality of your data. AWS Glue Data Quality is built on DeeQu and it offers a simplified user experience for customers who want to this open-source package. Refer to the blog and documentation for additional details. With ever-increasing amounts of data […]

For all analytics and ML modeling use cases, data analysts and data scientists spend a bulk of their time running data preparation tasks manually to get a clean and formatted data to meet their needs. We ran a survey among data scientists and data analysts to understand the most frequently used transformations in their data […]

Amazon Redshift is the most popular cloud data warehouse today, with tens of thousands of customers collectively processing over 2 exabytes of data on Amazon Redshift daily. Amazon Redshift is fully managed, scalable, secure, and integrates seamlessly with your data lake. In this post, we discuss how to set up and use the new query […]

This is a guest post co-authored by Pradip Thoke of Dream11. In their own words, “Dream11, the flagship brand of Dream Sports, is India’s biggest fantasy sports platform, with more than 100 million users. We have infused the latest technologies of analytics, machine learning, social networks, and media technologies to enhance our users’ experience. Dream11 […]