Data (11 articles)

Quarto: Convert Jupyter Notebooks into Professional Reports, Websites, and Dashboards

Learn how Quarto, an open-source tool by Posit, enables users to transform Jupyter Notebooks into polished reports, dashboards, e-books, and websites while ensuring reproducibility.

Preserving Our Digital Lives: Avoiding the Digital Dark Age

Digital preservation is crucial to prevent a 'Digital Dark Age.' Explore advanced storage technologies like Project Silica, DNA storage, and the Internet Archive. Learn how to protect your digital legacy.

Google's Database Strategy in the Age of AI: Insights from VP of Databases

Discover how Google’s database strategy embeds vector processing into existing databases like Spanner, AlloyDB, and Cloud SQL to empower AI-driven innovation, scalability, and cost efficiency.

Scalable Data Processing with Modin: A Guide for Junior Data Scientists

Accelerate Data Science with QDF: A Comprehensive Guide for Junior Data Scientists

QDF, a GPU-accelerated DataFrame library from NVIDIA’s RAPIDS ecosystem, shines.

Polars for Beginners: The Fast, Modern DataFrame Library

Discover Polars, the modern, lightning-fast DataFrame library built in Rust. Learn its key features, benefits, and practical examples for efficient data processing in this comprehensive guide for junior data scientists and learners.

Conquering the Dataframe Jungle: Narwhals, Your Ultimate Compatibility Bridge for Data Science

Unlocking Data Analytics with DuckDB: The Python Enthusiast’s Guide

LanceDB: The Open-Source Database Redefining AI Data Management

Discover LanceDB, the open-source database transforming AI data management. Learn how to handle multimodal data with Python-friendly APIs, Rust performance, and GPU acceleration.

Evolution of Database Engineering: Moving from DBA to DBRE

Companies will generate 1.7 MB of data about the average person per second by 2025

The IBM study suggests that an individual will generate approximately 5.5 exabytes of data daily by 2025. This data, stemming from online activities, smart devices, and IoT sensors, is expected to increase over the years due to AI, 5G, and IoT advancements. The data, collected via cookies, analytics tools, mobile apps, and IoT devices, is stored in diverse locations like cloud storage, databases, and data lakes. While it aids in improving services, decision making, and personalized advertising, user privacy concerns necessitate safeguarding measures.