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Amazon EMR streamlines big data processing with simplified Amazon S3 Glacier access

AWS Big Data

aimed to address these issues, providing more flexibility and cost-effectiveness in big data processing across various storage tiers. In this post, we demonstrate how to set up and use Amazon EMR on EC2 with S3 Glacier for cost-effective data processing. He has been focusing in the big data analytics space since 2013.

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How FINRA established real-time operational observability for Amazon EMR big data workloads on Amazon EC2 with Prometheus and Grafana

AWS Big Data

FINRA performs big data processing with large volumes of data and workloads with varying instance sizes and types on Amazon EMR. Amazon EMR is a cloud-based big data environment designed to process large amounts of data using open source tools such as Hadoop, Spark, HBase, Flink, Hudi, and Presto.

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Amazon Q data integration adds DataFrame support and in-prompt context-aware job creation

AWS Big Data

He is devoted to designing and building end-to-end solutions to address customers data analytic and processing needs with cloud-based, data-intensive technologies. Stuti Deshpande is a Big Data Specialist Solutions Architect at AWS. She has extensive experience in big data, ETL, and analytics.

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Why HR professionals struggle with big data

CIO Business Intelligence

Making decisions based on data To ensure that the best people end up in management positions and diverse teams are created, HR managers should rely on well-founded criteria, and big data and analytics provide these. Big data and analytics provide valuable support in this regard.

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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

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Essential Skills for the Modern Data Analyst in 2025

DataFloq

Embracing advanced analytics such as AI and machine learning will greatly improve the ability to interpret big data. Technical Skills Data analytics strategies require one to learn specific technical abilities. These skills enable one to participate in effective data analysis.

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Enhance Amazon EMR scaling capabilities with Application Master Placement

AWS Big Data

In today’s data-driven world, processing large datasets efficiently is crucial for businesses to gain insights and maintain a competitive edge. Amazon EMR is a managed big data service designed to handle these large-scale data processing needs across the cloud.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.