Category: Analytics

December 2022: Post was reviewed and updated to announce support of Prediction Probabilities for Classification problems using Amazon Redshift ML. Amazon Redshift is a fast, petabyte-scale cloud data warehouse data warehouse delivering the best price–performance. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. […]

This is a guest post by Gautham Acharya, Software Engineer III at the Allen Institute for Brain Science, in partnership with AWS Data Lab Solutions Architect Ranjit Rajan, and AWS Sr. Enterprise Account Executive Arif Khan. The human brain is one of the most complex structures in the universe. Billions of neurons and trillions of […]

Consolidating data from a work management tool like Jira and integrating this data with other data sources like ServiceNow, GitHub, Jenkins, and Time Entry Systems enables end-to-end visibility of different aspects of the software development lifecycle and helps keep your projects on schedule and within budget. Amazon Simple Storage Service (Amazon S3) is an object […]

Before you can create visuals and dashboards that convey useful information, you need to transform and prepare the underlying data. The range and complexity of data transformation steps required depends on the visuals you would like in your dashboard. Often, the data transformation process is time-consuming and highly iterative, especially when you are working with […]

Amazon EMR now supports M6g, C6g and R6g instances with Amazon EMR versions 6.1.0, 5.31.0 and later. These instances are powered by AWS Graviton2 processors that are custom designed by AWS using 64-bit Arm Neoverse cores to deliver the best price performance for cloud workloads running in Amazon Elastic Compute Cloud (Amazon EC2). On Graviton2 […]

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. Businesses in ecommerce have the challenge of measuring their ad-to-order conversion ratio for ads or promotional campaigns displayed on a webpage. Tracking the number of users that […]

AWS Glue DataBrew is a new visual data preparation tool that makes it easy for data analysts and data scientists to clean and normalize data to prepare it for analytics and machine learning (ML). In this post, we examine a sample ML use case and show how to use DataBrew and a Jupyter notebook to […]

Data lakes have been providing a level of flexibility to organizations unparalleled to anything before them. Having the ability to load and query data in place—and in its natural form—has led to an explosion of data lake deployments that have allowed organizations to accelerate against their data strategy faster than ever before. Most organizations have […]

Data is ubiquitous in businesses today, and the volume and speed of incoming data are constantly increasing. To derive insights from data, it’s essential to deliver it to a data lake or a data store and analyze it. Real-time or near-real-time data delivery can be cost prohibitive, therefore an efficient architecture is key for processing, […]

When deploying data lakes on AWS, you can use multiple AWS accounts to better separate different projects or lines of business. In this post, we see how the AWS Lake Formation cross-account capabilities simplify securing and managing distributed data lakes across multiple accounts through a centralized approach, providing fine-grained access control to the AWS Glue […]