Category: Learning Levels

Amazon QuickSight is a fully-managed, cloud-native business intelligence (BI) service that makes it easy to create and deliver insights to everyone in your organization. You can make your data come to life with rich interactive charts and create beautiful dashboards to share with thousands of users, either directly within a QuickSight application, or embedded in […]

Interactive Sessions for Jupyter is a new notebook interface in the AWS Glue serverless Spark environment. Starting in seconds and automatically stopping compute when idle, interactive sessions provide an on-demand, highly-scalable, serverless Spark backend to Jupyter notebooks and Jupyter-based IDEs such as Jupyter Lab, Microsoft Visual Studio Code, JetBrains PyCharm, and more. Interactive sessions replace […]

Amazon EMR on EKS is a deployment option that enables you to run Spark workloads on Amazon Elastic Kubernetes Service (Amazon EKS) easily. It allows you to innovate faster with the latest Apache Spark on Kubernetes architecture while benefiting from the performance-optimized Spark runtime powered by Amazon EMR. This deployment option elects Amazon EKS as […]

According to an article in MIT Sloan Management Review, 9 out of 10 companies believe their industry will be digitally disrupted. In order to fuel the digital disruption, companies are eager to gather as much data as possible. Given the importance of this new asset, lawmakers are keen to protect the privacy of individuals and […]

This is a guest post by Kevin Chun, Staff Software Engineer in Core Engineering at NerdWallet. NerdWallet’s mission is to provide clarity for all of life’s financial decisions. This covers a diverse set of topics: from choosing the right credit card, to managing your spending, to finding the best personal loan, to refinancing your mortgage. […]

This is a guest post by Faye Crompton from Forwood Safety. Forwood provides fatality prevention solutions to organizations across the globe. At Forwood Safety, we have a laser focus on saving lives. Our solutions, which provide full content and proven methodology via verification tools and analytical capabilities, have one purpose: eliminating fatalities in the workplace. […]

Amazon EMR on Amazon EKS enables you to submit Apache Spark jobs on demand on Amazon Elastic Kubernetes Service (Amazon EKS) without provisioning clusters. With EMR on EKS, you can consolidate analytical workloads with your other Kubernetes-based applications on the same Amazon EKS cluster to improve resource utilization and simplify infrastructure management. Kubernetes uses namespaces to provide isolation between […]

AWS Glue streaming extract, transform, and load (ETL) jobs allow you to process and enrich vast amounts of incoming data from systems such as Amazon Kinesis Data Streams, Amazon Managed Streaming for Apache Kafka (Amazon MSK), or any other Apache Kafka cluster. It uses the Spark Structured Streaming framework to perform data processing in near-real […]

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. Amazon Redshift enables you to use your data to acquire new insights for your business and customers while keeping costs low. Together with price-performance, […]

June 2023: This post was reviewed and updated for accuracy. AWS Glue supports native integration with Apache Hudi, Delta Lake, and Apache Iceberg. Refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 2: AWS Glue Studio Visual Editor to learn more. Transactional data lake […]