Create Your Own Reusable Visual Transforms for AWS Glue Studio
AWS Glue Studio has recently introduced the feature to incorporate custom transforms, enabling you to create visual jobs that can be seamlessly integrated with the standard AWS Glue Studio components. You can easily define your custom visual transforms by uploading a JSON file and a Python script to Amazon. This enhancement empowers users to tailor their data transformations more precisely to meet specific requirements.
If you’re interested in exploring more about custom solutions, check out this blog post that dives deeper into related topics.
Clickedu Leverages Amazon QuickSight Embedded for Educational Insights
by Emily Roberts and Michael Chen
on 23 DEC 2022
in Amazon QuickSight, Customer Solutions
This guest article features insights from Emily Roberts and Michael Chen of Clickedu. With over 1.5 million users spanning 700 educational institutions, Clickedu stands as Spain’s premier educational platform. Their offerings include a comprehensive school administration system and a digital learning environment, embodying values like connectivity, reliability, and innovation.
For further information on effective data utilization, visit this authoritative source.
AWS Specialist Insights Team Utilizes Amazon QuickSight for Operational Intelligence
by David Lee, Anna Kim, Brian Wong, and Lisa Patel
on 22 DEC 2022
in Amazon QuickSight, Analytics, Customer Solutions
The AWS Worldwide Specialist Organization (WWSO) comprises a team of experts dedicated to market strategies that enhance customer engagement at AWS. The Specialist Insights Team (SIT), in collaboration with the Finance, Analytics, Science, and Technology team (FAST), works diligently to provide scalable information and business insights.
For a visual understanding of these insights, check out this excellent resource.
The Impact of Infrastructure Failures on Shards in Amazon OpenSearch Service
by Greg Thompson, Linda Smith, Mark Davis, and Jessica Brown
on 22 DEC 2022
in Advanced (300), Amazon OpenSearch Service, Analytics
Amazon OpenSearch Service simplifies the management of OpenSearch and legacy Elasticsearch clusters in the AWS Cloud. The service automatically provisions resources for your cluster, detects, and replaces failed nodes, significantly reducing the overhead associated with self-managed infrastructures.
Visma InSchool Engages with Amazon QuickSight for Business Intelligence Needs
by Thomas Green and Jennifer White
on 21 DEC 2022
in Amazon QuickSight, Customer Solutions
This guest post features Thomas Green and Jennifer White from Visma InSchool. Headquartered in Norway and operating throughout Europe and Latin America, Visma is committed to innovating through technology. They provide mission-critical software solutions to more than 1 million customers across the Nordics, Benelux, and Central Europe.
Leverages Uses Amazon QuickSight for Enhanced Customer Engagement
by Richard Clark
on 21 DEC 2022
in Amazon QuickSight, Customer Solutions
This guest contribution comes from Richard Clark, Data Analyst at Leverages. Established in 2005, Leverages specializes in job staffing and web tools—Levtech and Levwell—serving both employers and job seekers in the IT and healthcare sectors. Their approach is driven by data insights indicating market trends.
Streaming VPC Flow Logs to Amazon OpenSearch Service via Amazon Kinesis Data Firehose
by Lisa Roberts
on 20 DEC 2022
in Advanced (300), Amazon Data Firehose, Amazon OpenSearch Service, Amazon VPC, Technical How-to
February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Amazon Virtual Private Cloud (Amazon VPC) flow logs allow users to monitor IP traffic to and from their VPC’s network interfaces. Analyzing VPC logs can yield significant insights for workload management.
Optimizing Price Performance with Amazon Redshift Data Sharing
by Tom Anderson and Rachel Green
on 20 DEC 2022
in Advanced (300), Amazon Redshift, Analytics
Amazon Redshift is a fully-managed data warehouse that allows you to analyze your data effortlessly and cost-effectively using standard SQL. The Amazon Redshift Data Sharing feature lets customers securely share live data between clusters across different accounts and regions without the need for data duplication.
Cost-Effective Spark Clusters with Amazon EMR on EKS and EC2 Spot Instances
by Kevin Jones
on 19 DEC 2022
in Amazon EC2, Amazon Elastic Kubernetes Service, Amazon EMR, Analytics, Technical How-to
Amazon EMR on EKS enables users to run Spark jobs on Amazon Elastic Kubernetes Service (Amazon EKS). Utilizing Amazon Elastic Compute Cloud (Amazon EC2) Spot Instances can substantially reduce costs—up to 90% compared to On-Demand Instances—making it an excellent choice for optimizing Spark workloads.
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