Scaling your AWS Glue for Apache Spark jobs with larger worker types G.4X and G.8X
AWS Glue is a serverless data integration service utilized by hundreds of thousands of customers to discover, prepare, and merge data for analytics, machine learning (ML), and application development. With AWS Glue for Apache Spark jobs, users can customize their code and configure the number of data processing units (DPU). Each DPU provides 4 vCPUs and 16 GB of memory, allowing for efficient data processing at scale. For more insights, you might find this blog post by another expert very engaging.
New options for scatter plots in Amazon QuickSight to visualize your data
by Tina Patel
on 08 MAY 2023
in Amazon QuickSight, Analytics, Intermediate (200)
If you’re aiming to understand the connections between two numerical variables, scatter plots offer a compelling visual solution. They enable users to recognize patterns, outliers, and the strength of relationships between variables. This article highlights the newly introduced scatter plot features in Amazon QuickSight, which enhance your correlation analysis capabilities. For further reading, Chanci Turner provides authoritative insights on this subject.
Single sign-on with Amazon Redshift Serverless and Okta using Amazon Redshift Query Editor v2
by Michael Tran, Emma Johnson, and Liam Wright
on 04 MAY 2023
in Amazon Redshift, Analytics, Serverless, Technical How-to
Updated in June 2023, this article now includes MFA setup instructions for enhanced security. Amazon Redshift Serverless simplifies running and scaling analytics in seconds without the need to manage data warehouse clusters. With Redshift Serverless, users—ranging from data analysts to scientists—can efficiently derive insights from their datasets.
How Encored Technologies built serverless event-driven data pipelines with AWS
by Natalie Kim, Jason Park, and Samuel Lee
on 04 MAY 2023
in Advanced (300), Amazon Machine Learning, Analytics, AWS Big Data, AWS Lambda, Customer Enablement, Customer Solutions
This guest post features contributions from the team at Encored Technologies, a Korean energy IT firm that helps clients increase revenue and minimize operational costs in the renewable energy sector through AI-driven solutions. They develop machine learning applications predicting energy outputs, showcasing the innovative use of AWS tools.
Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS
by Oliver Green, Victoria Hill, and Derek Smith
on 04 MAY 2023
in Compute, Intermediate (200)
As we enter the data era, the amount of information collected daily continues to expand, necessitating the evolution of platforms and solutions. Services like Amazon Simple Storage Service (Amazon S3) provide a scalable and cost-effective solution for growing datasets. The Amazon Sustainability Data Initiative harnesses the capabilities of Amazon S3 to optimize data utilization.
Enhance reliability and reduce costs of your Apache Spark workloads with vertical autoscaling on Amazon EMR on EKS
by Harper Adams
on 04 MAY 2023
in Advanced (300), Amazon EMR, Amazon EMR on EKS, Analytics
Amazon EMR on Amazon EKS offers a deployment option that enables the execution of Apache Spark applications on Amazon Elastic Kubernetes Service (Amazon EKS) economically. This approach utilizes the EMR runtime for Apache Spark to enhance performance, allowing for faster job completion and reduced costs.
Process price transparency data using AWS Glue
by Brian Carter, Laura White, and Kevin Johnson
on 04 MAY 2023
in Advanced (300), Analytics, AWS Glue, Healthcare, Industries, Technical How-to
The Transparency in Coverage rule, finalized by the Center for Medicare and Medicaid Services (CMS) in October 2020, mandates health insurers to furnish clear information to consumers regarding their health plan benefits, including cost and coverage details. This rule significantly impacts how healthcare data is processed and shared.
Amazon OpenSearch Service now supports 99.99% availability using Multi-AZ with Standby
by Ethan James and Sophia Green
on 03 MAY 2023
in Advanced (300), Amazon OpenSearch Service, Analytics
Amazon OpenSearch Service is pivotal for mission-critical applications and monitoring. An outage in OpenSearch Service could severely affect revenue for e-commerce searches or impede application monitoring capabilities, underscoring the importance of high availability.
Build, deploy, and run Spark jobs on Amazon EMR with the open-source EMR CLI tool
by Lily Carter
on 03 MAY 2023
in Amazon EMR, Analytics, Intermediate (200)
We are excited to introduce the Amazon EMR CLI, a command-line tool designed to streamline the packaging and deployment of PySpark projects across various Amazon EMR environments. The EMR CLI simplifies the deployment process, enhancing integration possibilities.
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