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11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. These tools will help make your initial data exploration process easy.

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Big Data vs. Data Science: Demystifying the Buzzwords

Pickl AI

Key Takeaways Big Data focuses on collecting, storing, and managing massive datasets. Data Science extracts insights and builds predictive models from processed data. Big Data technologies include Hadoop, Spark, and NoSQL databases. Data Science uses Python, R, and machine learning frameworks.

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Accelerating query performance with watsonx.data Presto C++ and Intel Sapphire Rapid Processor on AWS

IBM Journey to AI blog

The long-standing partnership between IBM and Intel has led to significant advancements in database performance over the past 25 years. IBM watsonx.data is a hybrid, governed data lake house optimized for data, analytics and AI workloads.

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