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30+ Free Datasets for Your Data Science Projects in 2023

Knowledge Hut

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. In this article, we will look at 31 different places to find free datasets for data science projects. What is a Data Science Dataset?

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Apache Spark vs MapReduce: A Detailed Comparison

Knowledge Hut

Market Demands for Spark and MapReduce Apache Spark was originally developed in 2009 at UC Berkeley by the team who later founded Databricks. Fault Tolerance: Apache Spark achieves fault tolerance using a spark abstraction layer called RDD (Resilient Distributed Datasets), which is designed to handle worker node failure.

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The Evolution of Table Formats

Monte Carlo

Let’s revisit how several of those key table formats have emerged and developed over time: Apache Avro : Developed as part of the Hadoop project and released in 2009, Apache Avro provides efficient data serialization with a schema-based structure.

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Top 11 Programming Languages for Data Science

Knowledge Hut

They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. R has become increasingly popular among data scientists because of its ease of use and flexibility in handling complex analyses on large datasets.

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How To Query The Ethereum Blockchain

Rockset

Originally popularized by Bitcoin in 2009, there have since been a surge in blockchain platforms launched around the world. Anyone can ingest these datasets into a datastore for efficient querying via SQL. In this blog, we’ll explain how you can query Ethereum blockchain data using Rockset.

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5 Apache Spark Best Practices

Data Science Blog: Data Engineering

Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner. Apache Spark began as a research project at UC Berkeley’s AMPLab, a student, researcher, and faculty collaboration centered on data-intensive application domains, in 2009. A Spark action, for instance, is count() on a dataset.

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Best Data Science Programming Languages

Knowledge Hut

They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. R has become increasingly popular among data scientists because of its ease of use and flexibility in handling complex analyses on large datasets.