#distributed-computing

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fromHackernoon
2 months ago

Dask & cuDF: Key to Distributed Computing in Data Science | HackerNoon

Dask orchestrates work across multiple workers while integrating GPU acceleration through cuDF, enabling efficient large-scale data processing for data scientists.
Data science
Artificial intelligence
fromWIRED
3 months ago

These Startups Are Building Advanced AI Models Without Data Centers

The launch of Collective-1 signifies a potential shift in how AI models are constructed, leveraging distributed resources and varied data sources.
fromMedium
3 months ago

Handling Large Data Volumes (100GB-1TB) in Scala with Apache Spark

Apache Spark is a distributed computing framework designed to efficiently handle large datasets ranging from 100GB to 1TB, addressing memory limitations and scalability.
Data science
fromMedium
3 months ago

Spark Scala Exercise 1: Hello Spark World with Scala

Understanding Spark initialization is crucial for data engineering tasks.
This exercise introduces key Spark concepts such as SparkSession and lazy evaluation.
Successfully checking the setup ensures readiness for distributed data processing.
fromMedium
4 months ago

Word Count Program

The Word Count program is a key example of distributed computing frameworks, demonstrating how to count word occurrences using methods such as flatMap and reduceByKey.
Data science
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