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Cutting Big Data Costs: Effective Data Processing With Apache Spark

DZone

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain.

Big Data 279
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Auto-Diagnosis and Remediation in Netflix Data Platform

The Netflix TechBlog

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. As our subscribers grow worldwide and Netflix enters the world of gaming , the number of batch workflows and real-time data pipelines increases rapidly.

Big Data 242
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End-to-end observability provides deep insights into user behavior for British Columbia Lottery Corporation

Dynatrace

Mehdiabadi says the company can now easily forecast both frontend and backend data to see everything that’s going on. They go on the website and play the games,” Mehdiabadi says. Monitoring both the frontend and backend is critical to achieving its strategic goals. “Our players just see the frontend.

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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Additionally, Grail delivers unrivaled performance without losing the precision of unsampled, gapless data. Dynatrace built and optimized it for Davis® AI, the game-changing Dynatrace artificial intelligence engine that processes billions of dependencies in the blink of an eye.

Analytics 264
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London Calling! An AWS Region is coming to the UK!

All Things Distributed

The new region, coupled with the existing AWS regions in Dublin and Frankfurt, will provide customers with quick, low-latency access to websites, mobile applications, games, SaaS applications, big data analysis, Internet of Things (IoT) applications, and more.

AWS 167
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Apache Doris for Log and Time Series Data Analysis

DZone

These were exactly the choices of NetEase, one of the world's highest-yielding game companies but more than that. As NetEase expands its business horizons, the logs and time series data it receives explode, and problems like surging storage costs and declining stability come.

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Offline Data Pipeline Best Practices Part 1:Optimizing Airflow Job Parameters for Apache Hive

DZone

Welcome to the first post in our exciting series on mastering offline data pipeline's best practices, focusing on the potent combination of Apache Airflow and data processing engines like Hive and Spark. Working together, they form the backbone of many modern data engineering solutions.