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Top 7 Data Science And Machine Learning Products in Big Data Tools

The best Data Science And Machine Learning Products within the Big Data Tools category - based on our collection of reviews & verified products.

Presto DB Databricks Unified Analytics Platform Google Cloud Dataflow Amazon EMR Starburst Galaxy DataBloom AI PySpark

Summary

The top products on this list are Presto DB, Databricks Unified Analytics Platform, and Google Cloud Dataflow. All products here are categorized as: Platforms and tools for data analysis, scientific research, and machine learning applications. Big Data Tools. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. Distributed SQL Query Engine for Big Data (by Facebook)
    Pricing:
    • Open Source

    #Database Tools #Data Dashboard #Big Data Analytics 6 social mentions

  2. One platform for accelerating data-driven innovation across data engineering, data science & business analytics

    #Office & Productivity #Development #Data Dashboard 1 social mentions

  3. Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

    #Big Data #Data Dashboard #Data Management 14 social mentions

  4. Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

    #Big Data #Big Data Tools #Big Data Infrastructure 10 social mentions

  5. Explore and analyze the data in and around your data lake

    #Data Integration #Data Science And Machine Learning #Data Lake

  6. Empowering Data, Elevating Decisions: Blossom Sky.
    Pricing:
    • Open Source
    • Freemium
    • Free Trial
    • €89.0 / Monthly (10 Users)

    #Data Integration #Data Science And Machine Learning #Data Lake 3 social mentions

  7. PySpark Tutorial - Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can wor

    #Project Management #No Code #Databases

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