Author: Jeremy Winters, Principal Architect Running SQL Server on Linux in AWS can deliver significant cost savings while offering modern deployment flexibility. This blog dives into why you should consider switching, with detailed cost comparisons, setup tips for Linux AMIs, and insights into backup and restore processes using S3. Discover how to optimize your SQL Server environment for performance and efficiency on Linux.
Amount, a leading-edge provider of software based financial solutions located in Chicago Illinois has developed and launched an application platform that seamlessly enables banks and financial institutions to traverse the digital divide, unify data, and gain insight to improve the consumer experience.
Uturn Data Solutions partnered with Texture Energy to enhance their SaaS platform, focusing on scalability, performance, and security. By migrating Texture Energy's infrastructure to Amazon Web Services (AWS), Uturn implemented a robust, scalable solution that improved system performance and ensured high availability. The collaboration resulted in a more efficient platform, enabling Texture Energy to better serve its clients and adapt to evolving market demands.
Author: David Matthews, Sr. Architect AWS cloud costs can quickly spiral out of control if not managed effectively. This blog post explores key areas to focus on for optimizing your cloud spend, including rightsizing resources, leveraging reserved instances and savings plans, and implementing cost management strategies.
Author: Scott Prugh, Chief Technology Officer. In today's digital world, work often piles up silently, leading to missed deadlines and decreased effectiveness. Making work visible through proper work management is crucial for improving workflow, prioritization, and overall business success. This blog post explores the importance of work visibility and provides actionable steps to achieve it.
Amount, a leading-edge provider of software based financial solutions located in Chicago Illinois has developed and launched an application platform that seamlessly enables banks and financial institutions to traverse the digital divide, unify data, and gain insight to improve the consumer experience.
Contributors Bala Balaiah, Data & Analytics Practice Lead William Boyd, Data Engineer This is part 3 of a 3-part blog post about uploading a custom ML script to Sagemaker. If you still need to read part 1 or part 2, in this series you should do so now. Part 3 will cover creating a Lambda [...]
Contributors Bala Balaiah, Data & Analytics Practice Lead William Boyd, Data Engineer This is part 2 of a 3-part blog series about uploading a custom ML script to Sagemaker. If you haven't read Part 1 in the series, we recommend you start there. Part 2 will cover creating a Training Job and Endpoint for your [...]
Contributors Bala Balaiah, Data and Analytics Practice Lead William Boyd, Data Engineer This blog is part 1 of a 3-part blog post series in which we are going to walk through the steps of uploading your custom Machine Learning training algorithm and model to AWS Sagemaker. Part 1 will cover all of the files needed [...]
Contributors Bala Balaiah, Data and Analytics Practice Lead William Boyd, Data Engineer AWS’ QuickSight allows for the quick building of visualizations for business insights. After loading in datasets, QuickSight will enable you to generate graphs quickly, give you detailed insights into your data with minimal effort, and allow you to harness some of AWS’ ML [...]