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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. ERP systems offer standardized processes, enabling developers to accelerate development cycles and align with industry best practices.

Systems 169
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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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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. Learn to boost system reliability through proactive issue detection.

Google 260
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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. Discover how AI is reshaping the cloud and what this means for the future of technology.

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How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. This fosters a proactive approach to system health and maintenance.

DevOps 188
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Boost DevOps maturity with observability and a data lakehouse

Dynatrace

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. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 182
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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.