Tag: Channy Yun

You might learn in high school biology class that the human genome is composed of over three billion letters of code using adenine (A), guanine (G), cytosine (C), and thymine (T) paired in the deoxyribonucleic acid (DNA). The human genome acts as the biological blueprint of every human cell. And that’s only the foundation for what makes us human. Healthcare and life sciences organizations collect myriad types of biological data to improve patient care and drive scientific research. These organizations map an individual’s genetic predisposition to disease, identify new drug targets based on protein structure and function, profile tumors based on what genes are expressed in a specific cell, or investigate how gut bacteria can influence human health. Collectively, these…

We have given you the flexibility and ability to run the largest and most complex high performance computing (HPC) workloads with Amazon Elastic Compute Cloud (Amazon EC2) instances that feature enhanced networking like C5n, C6gn, R5n, M5n, and our recently launched HPC instances Hpc6a. We heard feedback from customers asking us to deliver more options to support their most intensive workloads with higher per-vCPU compute performance as well as larger memory and local disk storage to reduce job completion time for data-intensive workloads like Finite Element Analysis (FEA) and seismic processing. Announcing Amazon EC2 Hpc6id Instance for HPC Workloads Today, we announce the general availability of Amazon EC2 Hpc6id instances, a new instance type that is purpose-built for tightly coupled HPC workloads. Amazon…

To identify potential security threats and vulnerabilities, customers should enable logging across their various resources and centralize these logs for easy access and use within analytics tools. Some of these data sources include logs from on-premises infrastructure, firewalls, and endpoint security solutions, and when utilizing the cloud, services such as Amazon Route 53, AWS CloudTrail, and Amazon Virtual Private Cloud (Amazon VPC). The Amazon Simple Storage Service (Amazon S3) and AWS Lake Formation simplify the creation and management of a data lake on AWS. But, some customers’ security teams still struggle to define and implement security domain–specific aspects, such as data normalization, which requires them to analyze each log source’s structure and fields, define schemas and mappings, and pull in…

Apache Spark is an open-source, distributed processing system commonly used for big data workloads. Spark application developers working in Amazon EMR, Amazon SageMaker, and AWS Glue often use third-party Apache Spark connectors that allow them to read and write the data with Amazon Redshift. These third-party connectors are not regularly maintained, supported, or tested with various versions of Spark for production. Today we are announcing the general availability of Amazon Redshift integration for Apache Spark, which makes it easy to build and run Spark applications on Amazon Redshift and Redshift Serverless, enabling customers to open up the data warehouse for a broader set of AWS analytics and machine learning (ML) solutions. With Amazon Redshift integration for Apache Spark, you can…