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

DZone

Data processing in the cloud has become increasingly popular due to its scalability, flexibility, and cost-effectiveness. This article will explore how these technologies can be used together to create an optimized data pipeline for data processing in the cloud.

Azure 246
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Understanding the Role of ERP Systems in Modern Software Development

DZone

ERP systems are crucial in modern software development because they integrate various organizational departments and functions. They provide a centralized platform that promotes seamless communication and data exchange between software applications, reducing data silos.

Systems 169
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Privacy Spotlight: Easily comply with data subject rights in Dynatrace

Dynatrace

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. Successful compliance with privacy rights requests involves tracking and verifying requests across the entire data ecosystem, including third-party services.

Tuning 221
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Boost DevOps maturity with observability and a data lakehouse

Dynatrace

ln a world driven by macroeconomic uncertainty, businesses increasingly turn to data-driven decision-making to stay agile. They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. All of these factors challenge DevOps maturity.

DevOps 180
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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. Learn to boost system reliability through proactive issue detection.

Google 258
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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 183
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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. AI models integrated into cloud systems offer flexibility, enable agile methodologies, and ensure secure systems.