Category: Analytics

AWS Pi Day 2023 is live today starting at 13:00 PDT; join us on the AWS on Air channel on Twitch. On this day 17 years ago, we launched a very simple object storage service. It allowed developers to create, list, and delete private storage spaces (known as buckets), upload and download files, and manage […]

A couple days ago, I had the honor of doing a live stream on generative AI, discussing recent innovations and concepts behind the current generation of large language and vision models and how we got there. In today’s roundup of news and announcements, I will share some additional information—including an expanded partnership to make generative […]

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! If you are looking for a new year challenge, the Serverless Developer Advocate team launched the 30 days of Serverless. You can follow the hashtag #30DaysServerless on LinkedIn, Twitter, or […]

Happy New Year! As we kick off 2023, I wanted to take a moment to remind you of some 2023 predictions by AWS leaders for you to help prepare for the new year. Five Tech Predictions for 2023 and Beyond by Dr. Wener Vogels, CTO of Amazon.com – Read how these technologies and trends will […]

When we talk with customers, we hear that they want to be able to harness insights from data in order to make timely, impactful, and actionable business decisions. A common pattern with data-driven organizations is that they have many different data sources they need to ingest into their analytics systems. This requires them to build […]

Data fuels machine learning. In machine learning, data preparation is the process of transforming raw data into a format that is suitable for further processing and analysis. The common process for data preparation starts with collecting data, then cleaning it, labeling it, and finally validating and visualizing it. Getting the data right with high quality […]

Back in 1980, at my second professional programming job, I was working on a project that analyzed driver’s license data from a bunch of US states. At that time data of that type was generally stored in fixed-length records, with values carefully (or not) encoded into each field. Although we were given schemas for the […]

When Jeff Barr first announced Amazon Athena in 2016, it changed my perspective on interacting with data. With Amazon Athena, I can interact with my data in just a few steps—starting from creating a table in Athena, loading data using connectors, and querying using the ANSI SQL standard. Over time, various industries, such as financial […]