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Medallion Architecture: Efficient Batch and Stream Processing Data Pipelines With Azure Databricks and Delta Lake

DZone

In today's data-driven world, organizations need efficient and scalable data pipelines to process and analyze large volumes of data. Medallion Architecture provides a framework for organizing data processing workflows into different zones, enabling optimized batch and stream processing.

Azure 246
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Write Optimized Spark Code for Big Data Applications

DZone

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. In this article, we will discuss some tips and techniques for tuning PySpark applications. In this article, we will discuss some tips and techniques for tuning PySpark applications.

Big Data 161
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Gossip Protocol in Social Media Networks: Instagram and Beyond

DZone

Gossip protocol is a communication scheme used in distributed systems for efficiently disseminating information among nodes. This article will discuss the gossip protocol in detail, followed by its potential implementation in social media networks, including Instagram. The key features of gossip protocol include:

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Why business digital transformation is still a key C-level priority today

Dynatrace

That’s why, according to a LinkedIn article, business digital transformation is no longer a nice-to-have. According to IDC, AI technology will be inserted into the processes and products of at least 90% of new enterprise apps by 2025. DevOps can also reduce human error throughout the software deployment process.

C++ 190
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Low Overhead Continuous Contextual Production Profiling

DZone

It is worth noting that this data collection process does not impact the performance of the application. However, it does not provide visibility into the operations taking place at the code level, such as method, socket, and thread states.

Latency 246
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Unleash Peak Performance in Java Applications: Overview of Profile-Guided Optimization (PGO)

DZone

Profile-Guided Optimization (PGO) stands as a potent technique capable of substantially enhancing the efficiency of your Java programs. By harnessing runtime profiling data, PGO empowers developers to fine-tune their code and apply optimizations that align with their application's real-world usage patterns.

Java 177
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Mastering Kubernetes deployments with Keptn: a comprehensive guide to enhanced visibility

Dynatrace

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Changes in application code or configurations can impact performance metrics, affecting user experience and application functionality.