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Batch vs. Real-Time Processing: Understanding the Differences

DZone

The decision between batch and real-time processing is a critical one, shaping the design, architecture, and success of our data pipelines. Understanding the key distinctions between these two processing paradigms is crucial for organizations to make informed decisions and harness the full potential of their data.

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Improving customer experience with business process monitoring

Dynatrace

A business process is a collection of related, usually structured tasks or steps, performed in sequence, that achieve a defined business goal. Tasks may be manual or automatic, and many business processes will include a combination of both. Make better decisions by providing managers with real-time data about the business.

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Leverage logs for an end-to-end view of your business processes via Dynatrace OpenPipeline

Dynatrace

Unrealized optimization potential of business processes due to monitoring gaps Imagine a retail company facing gaps in its business process monitoring due to disparate data sources. Due to separated systems that handle different parts of the process, the view of the process is fragmented.

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Stream Processing vs. Batch Processing: What to Know

DZone

The concept of data has been there for centuries, but only now do we have enough computational resources to process and use that data. There are different ways through which we can process data. The two popular ways used for data processing are batch processing and stream processing. What Is Batch Processing?

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Practical business process monitoring for real-time business observability

Dynatrace

One of the more popular use cases is monitoring business processes, the structured steps that produce a product or service designed to fulfill organizational objectives. By treating processes as assets with measurable key performance indicators (KPIs), business process monitoring helps IT and business teams align toward shared business goals.

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Batch Processing for Data Integration

DZone

Among the spectrum of methodologies available for this task, batch processing is often considered an old guard, especially with the advent of real-time and event-based processing technologies. However, it would be a mistake to dismiss batch processing as an antiquated approach.

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Batch Processing vs. Stream Processing: Why Batch Is Dying and Streaming Takes Over

DZone

With this data comes the challenge of processing it in a timely and efficient way. Companies worldwide are investing in technologies that can help them better process, analyze, and use the data they are collecting to better serve their customers and stay ahead of their competitors. Let’s recap some of the basics first.