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Understanding gRPC Concepts, Use Cases, and Best Practices

DZone

Because with the advent of cloud providers, we are less worried about managing data centers. This leads to an increase in the size of data as well. Big data is generated and transported using various mediums in single requests. Everything is available within seconds on-demand.

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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.

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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. Best practices to consider. What is cloud monitoring? Define goals with a clear path to success.

Cloud 295
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Performance Monitoring Dashboards in the Age of Big Data Pollution

Rigor

Big data is like the pollution of the information age. The Big Data Struggle and Performance Reporting. As the big data era brings in multiple options for visualization, it has become apparent that not all solutions are created equal. Best Practices for Performance Monitoring Dashboards.

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Apache Doris for Log and Time Series Data Analysis

DZone

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. As NetEase's pick among all big data components for platform upgrades, Apache Doris fits into both scenarios and brings much faster query performance.

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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

As workloads shift to public, private, and hybrid cloud environments, CloudOps teams help IT and DevOps manage increasing complexity by defining and managing best practices for cloud-based operations. ITOps vs. AIOps.

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Mastering Distributed SQL™ Databases in 2025

Scalegrid

They keep the features that developers like but can handle much more data, similar to NoSQL systems. Notably, they simplify handling big data flows, offer consistent transactions, and sustain high performance even when they’re used for real-time data analysis and complex queries.

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