Category: Learning Levels

Data mesh is a new approach to data management. Companies across industries are using a data mesh to decentralize data management to improve data agility and get value from data. However, when a data producer shares data products on a data mesh self-serve web portal, it’s neither intuitive nor easy for a data consumer to […]

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. Apache Hive has performed pretty well for a long time. But with advancements in infrastructure such as cloud computing and multicore machines with large RAM, Apache Spark started to gain visibility by […]

This is a guest post by Preet Jassi from Alexa Smart Properties. Alexa Smart Properties (ASP) is powered by a set of technologies that property owners, property managers, and third-party solution providers can use to deploy and manage Alexa-enabled devices at scale. Alexa can simplify tasks like playing music, controlling lights, or communicating with on-site […]

Amazon OpenSearch Serverless is a serverless option of Amazon OpenSearch Service that makes it easy for you to run large-scale search and analytics workloads without having to configure, manage, or scale OpenSearch clusters. It automatically provisions and scales the underlying resources to deliver fast data ingestion and query responses for even the most demanding and […]

This post is co-written by Constantin Scoarță and Horațiu Măiereanu from CyberSolutions Tech. CyberSolutions is one of the leading ecommerce enablers in Germany. We design, implement, maintain, and optimize award-winning ecommerce platforms end to end. Our solutions are based on best-in-class software like SAP Hybris and Adobe Experience Manager, and complemented by unique services that […]

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With EMR on EKS, Spark applications run on the Amazon EMR runtime for Apache Spark. This performance-optimized runtime offered by Amazon EMR makes your Spark jobs run fast […]

This is a guest post by Carl Marrelli from SANS Institute. The SANS Institute is a world leader in cybersecurity training and certification. For over 30 years, SANS has worked with leading organizations to help ensure security across their organization, as well as with individual IT professionals who want to build and grow their security […]

Happy birthday Amazon QuickSight Community! We are celebrating 1 year since the launch of our new Community. The Amazon QuickSight Community website is a one-stop-shop where business intelligence (BI) authors and developers from across the globe can ask and answer questions, stay up to date, network, and learn together about Amazon QuickSight. In this post, […]

Amazon EMR is a big data service offered by AWS to run Apache Spark and other open-source applications on AWS to build scalable data pipelines in a cost-effective manner. Monitoring the logs generated from the jobs deployed on EMR clusters is essential to help detect critical issues in real time and identify root causes quickly. […]

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed, highly available, and secure Apache Kafka service. Amazon MSK reduces the work needed to set up, scale, and manage Apache Kafka in production. With Amazon MSK, you can create a cluster in minutes and start sending data. With Amazon MSK Serverless, you can […]