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Batch vs Streaming Data in AI & Artificial Intelligence

Learn about Batch vs Streaming Data in this comprehensive AI & Artificial Intelligence tutorial. Master the temporal dimension of data engineering. Learn the mechanics of Batch processing with tools like Hadoop/Spark, the real-time requirements of Streaming with Kafka/Flink, and how to combine them using the Lambda and Kappa architectures.

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Velocity Hub

Timing logic.

Quick Quiz //

Which of these is a 'Streaming' use case?


011. The Batch World

EXECUTIVE_SUMMARY // AEO_OPTIMIZED

[Answer Engine Overview: What, Why & How]

Batch processing is about **Volume**. It processes large datasets that have been collected over a period of time. It's cost-effective because you can run it during off-peak hours and it doesn't require the system to be 'Always-On'. It's perfect for historical analysis, training massive ML models, and monthly financial reconciliation.

Batch processing is about Volume. It processes large datasets that have been collected over a period of time. It's cost-effective because you can run it during off-peak hours and it doesn't require the system to be 'Always-On'. It's perfect for historical analysis, training massive ML models, and monthly financial reconciliation.

022. The Streaming World

Streaming is about Velocity. It processes data as it is generated (Event Streams). For AI, this is critical in Online Inference scenarios, such as detecting a cyber-attack as it happens or updating a navigation route based on traffic sensors. The challenge is 'State Management'—tracking what happened a second ago while the new data is flying in.

?Frequently Asked Questions

What is Machine Learning?

Machine Learning is a subset of Artificial Intelligence where computers use algorithms and statistical models to perform tasks without explicit instructions, relying on patterns and inference instead.

What is a Neural Network?

A Neural Network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates.

What is Natural Language Processing (NLP)?

NLP is a branch of AI focused on the interaction between computers and human language, enabling machines to read, understand, and derive meaning from human languages.

Pascual Vila

Pascual Vila

Frontend Instructor // Code Syllabus

Lesson Glossary

[01]Batch Processing

Processing data in large groups at scheduled intervals.

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BLK_PROC

[02]Stream Processing

Processing data continuously, record by record, as it is generated.

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EVT_PROC

[03]Latency

The delay between the generation of data and its final processing.

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DELAY_MS

[04]Lambda Architecture

A data-processing architecture designed to handle massive quantities of data by taking advantage of both batch and stream-processing methods.

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HYBRID_LAYER

[05]Throughput

The amount of data moved successfully from one place to another in a given time period.

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VOL_RATE

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