Tag: AWS Step Functions

Nara Space Technology is a South Korea-based startup that builds nano satellite constellations and provides satellite data services to let customers quickly identify and address issues like changing climate conditions and disaster recovery to improve life on Earth. Nara Space provides solutions for nano satellite and small spacecraft system design, integration, development, and testing; enables satellite data analytics based on deep learning; and improves the visual quality of standard satellite imagery with its Super Resolution core technology. To do this, Nara Space uses AWS for secure, flexible, scalable, and cost-efficient cloud solutions.

Skillshare is the largest global online learning community for creativity. They offer thousands of inspiring classes for creative and curious people on topics including illustration, design, photography, video, freelancing, and more. Skillshare wanted their members to easily discover relevant content with a seamless discovery process of personalized recommendations. Skillshare decided to test HAQM Personalize from AWS to make these data-fueled recommendations for members with machine learning. This blog post describes their HAQM Personalize solution architecture, their AWS Step Functions process, and the results of their experiment.

Discovery Education (DE) provides standards-aligned digital curriculum resources, engaging content, and professional learning for K12 classrooms. Learn how they worked with AWS to enhance its K12 learning platform with machine learning (ML) capabilities.

On February 9, a new object successfully began to orbit Mars: an uncrewed spacecraft called the Hope Probe. The mission has already returned the first image of Mars, taken by Hope’s Emirates eXploration Imager from an altitude of 24,700 km. Led by the Mohammed Bin Rashid Space Centre (MBRSC), the Hope Probe is the first interplanetary mission for the United Arab Emirates, the fifth country in history to reach the red planet. It will also be the first spacecraft to capture a complete picture of the Martian atmosphere and its layers during different times of the day and different seasons for one complete Martian year. Once data transmitted by the Hope Probe reaches the scientific teams on Earth, MBRSC will use AWS advanced technologies to process and analyze the vast amounts of data and imagery to help researchers better understand the Martian atmosphere and its layers.

Modern data engineering covers several key components of building a modern data lake. Most databases and data warehouses, to an extent, do not lend themselves well to a DevOps model. DataOps grew out of frustrations trying to build a scalable, reusable data pipeline in an automated fashion. DataOps was founded on applying DevOps principles on top of data lakes to help build automated solutions in a more agile manner. With DataOps, users apply principles of data processing on the data lake to curate and collect the transformed data for downstream processing. One reason that DevOps was hard on databases was because testing was hard to automate on such systems. At California State University Chancellors Office (CSUCO), we took a different approach by residing most of our logic with a programming framework that allows us to build a testable platform. Learn how to apply DataOps in ten steps.