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Batch Processing

6 items tagged with "batch-processing"

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Models1

Gemini 1.5 Flash

Fast and versatile model for diverse tasks at scale

Tutorials1

How to write and run a PySpark batch job

Build a PySpark job that reads, transforms, and writes data using the DataFrame API, then run it with spark-submit.

Blueprints1

Batch to Streaming Blueprint

Migration blueprint for converting batch processing to real-time streaming

Stacks2

Airflow + Spark Batch Pipeline Stack

Classic big-data batch pattern: Apache Airflow orchestrates scheduled DAGs that run distributed Apache Spark jobs over data-lake storage.

Prefect + Spark

A Python-native orchestration stack where Prefect schedules and monitors large-scale data processing jobs running on Apache Spark.

FAQs1

What is the difference between batch and stream processing?

Batch processing handles large volumes of data in scheduled chunks, such as a nightly job that aggregates the previous day's sales; it is simple and e...