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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. This article explores the concepts of Medallion Architecture and demonstrates how to implement batch and stream processing pipelines using Azure Databricks and Delta Lake.

Azure 246
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Mastering Scalability and Performance: A Deep Dive Into Azure Load Balancing Options

DZone

As organizations increasingly migrate their applications to the cloud, efficient and scalable load balancing becomes pivotal for ensuring optimal performance and high availability. Each of these services addresses specific use cases, offering diverse functionalities to meet the demands of modern applications. What Is Load Balancing?

Azure 287
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Power of Azure B Series Virtual Machines

DZone

Among the multitude of VM options available, Azure B Series Virtual Machines stand out as a cost-effective and efficient choice for various workloads. In this article, we will delve into the features, benefits, and use cases of Azure B Series VMs, shedding light on why they are gaining popularity in the cloud computing landscape.

Azure 246
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Building an Optimized Data Pipeline on Azure Using Spark, Data Factory, Databricks, and Synapse Analytics

DZone

Modern tech stacks such as Apache Spark, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics offer powerful tools for building optimized data pipelines that can efficiently ingest and process data on the cloud.

Azure 246
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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

To keep up, organizations are making significant investments to harness this technology and unlock new opportunities to thrive in the era of AI with Microsoft Azure and adjacent technologies. As a Microsoft strategic partner, Dynatrace delivers answers and intelligent automation for cloud-native technologies and Azure.

Azure 130
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Intro to Redis Sharding

Scalegrid

This method involves splitting data over various nodes to improve the database’s efficiency. In this article, we will explain Redis sharding, explore its pros and cons, and how to apply it. Grasping the concept of Redis sharding is essential for expanding your Redis database. Visualize it as a relay race.

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Artificial Intelligence in Cloud Computing

Scalegrid

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. It streamlines time-consuming and repetitive tasks, reducing the potential for human error and boosting operational efficiency.