Hyper

Hyper is a high-performance database system designed for fast data processing and real-time analytics. It enables efficient query execution, supports complex analytical workloads, and integrates seamlessly with data visualization tools like Tableau to provide immediate insights from large datasets.

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About Hyper

Hyper was developed by a team of researchers from the Technical University of Munich, led by Thomas Neumann and Alfons Kemper. It was created in 2010 to address the need for a database system capable of handling both transactional and analytical workloads efficiently. Hyper aimed to provide real-time data processing and rapid query execution, which made it an attractive solution for businesses requiring immediate insights from large datasets. In 2016, Tableau acquired Hyper to enhance its data visualization capabilities with high-performance data processing technology.

Strengths of Hyper include its high-performance query execution, real-time analytics capabilities, and seamless integration with data visualization tools like Tableau. Weaknesses may involve complexity in setup and management for users unfamiliar with advanced database systems. Competitors include other high-performance database technologies such as Snowflake, Google BigQuery, and Amazon Redshift.

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How to hire a Hyper expert

A Hyper expert must possess skills in SQL for query writing and optimization, understanding of database management and design principles, proficiency in data integration and ETL processes, and experience with real-time analytics. Familiarity with Tableau for data visualization and an understanding of performance tuning techniques specific to high-performance databases are also essential.

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