Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems.

Big Data and AI are deeply interconnected: Data fuels AI models, and AI enhances data processing. AI’s effectiveness depends on three key aspects of Big Data: 1.

There is currently no development process standard for big data projects. With the increasing number of such projects, the authors designed a new software engineering lifecycle process for big data ...

Analysis and processing of very large data sets, or big data, poses a significant challenge. Massive data sets are collected and studied in numerous domains, from engineering sciences to social ...

Just two years earlier, Google’s MapReduce paper laid the foundation for modern big data processing. Despite this parallel emergence, GPUs haven’t become a standard part of enterprise data ...

His research was recently published in the International Journal of Management, IT & Engineering on "Optimizing Big Data Processing in SQL Server through Advanced Utilization of Stored Procedures." ...

With 18 distinguished certifications in software engineering, big data, and ML-AI from institutions like UC Berkeley, University of Michigan, University of Washington, and DeepLearning.AI, Karan ...

With vital skills in code optimisation and experience working with big data, Szymański was inspired to join forces with Szcześniak in 2020 and co-found our Start-up of the Week, Oxla.

My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on lambda architecture , that aggregates Twitter and US stock market data for user sentiment analysis ...