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 […]
0 CommentsGathering insights from data is a more effective process if that data isn’t fragmented across multiple systems and data stores, whether on premises or in the cloud. Amazon AppFlow provides bidirectional data integration between on-premises systems and applications, SaaS applications, and AWS services. It helps customers break down data silos using a low- or no-code, […]
0 CommentsWhile ransomware has been the leading concern for enterprise security teams over the few past years, software vulnerabilities are nipping at its heels. The boom in cloud-based apps and services and increased digitization of work have been a boon for hackers, who are taking advantage of developers’ and DevOps teams’ attempts to work faster and […]
0 CommentsThe whole concept of Agile and DevOps was to iterate development faster and deliver results in a more timely manner. As we learned more about both methodologies, processes and policies were put into place that improved the quality of what was created. Early ideas of quality like, “We can just do another iteration,” still exist, […]
0 CommentsDatadog, Inc. today made generally available a Universal Service Monitoring service that takes advantage of the extended Berkeley Packet Filtering (eBPF) microkernel in a Linux operating system to automatically detect all the services that make up an application environment without changes to the code used to construct them. Yrieix Garnier, vice president of product at […]
0 CommentsAt the AWS re:Invent 2022 conference, Logz.io launched an Open 360 platform that combines multiple open source technologies to provide observability across both existing monolithic and emerging cloud-native application environments. Existing Logz.io offerings included in the Open 360 platform are Logz.io Kubernetes 360, a managed observability platform based on open source tools such as OpenSearch […]
0 CommentsWe 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 […]
0 CommentsTo 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, […]
0 CommentsApache 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 […]
0 CommentsMost AWS analytics services have compelling serverless offerings that make it even easier for customers to analyze vast amounts of data without having to configure, scale, or manage the underlying infrastructure. Along with other serverless analytics, such as Amazon QuickSight for business intelligence and AWS Glue for data integration, we have introduced Amazon EMR Serverless, […]
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