Apache Hive is an open source data warehouse infrastructure that provides tools for data summarization, querying, and analysis. It is specifically designed to support analysis of large datasets saved in Hadoop files and compatible file systems such as Amazon S3. Hive was first developed in 2008 by data engineers at Facebook, but is now used by many other companies.
AI-Assisted Analytics is an advanced analysis method performed through the use of artificial intelligence and machine learning algorithms in data analysis processes. This technology has the ability to detect complex relationships in large datasets, identify patterns, and make predictions for the future.
Hybrid computing is a technological approach that combines the components of private cloud, public cloud, and on-premises infrastructure into a single integrated computing ecosystem. This model allows businesses to operate a variety of workloads in an optimal environment.
Zero-based budgeting is an effective tool for organizations to control costs, manage resources, improve business processes, and improve performance.
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We were able to increase the data processing speed by 13 times on average and 30 times at maximum with this project.
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