Category: Data
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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
For data scientists, Pandas is often the go-to library for working with tabular data. However, when working with large datasets or handling computationally intensive tasks, Pandas can become a bottleneck due to its single-threaded nature. Enter Modin, a library designed to scale your Pandas workflows seamlessly, using distributed computing. In…
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
In the world of data science, dataframes are indispensable. Whether you’re slicing and dicing large datasets or performing complex analytical operations, dataframes are your go-to structures. Listen to the audio version, crafted with Gemini 2.0. While Pandas reigns as the most popular dataframe library in Python, a growing number of…
Unlocking Data Analytics with DuckDB: The Python Enthusiast’s Guide
Introduction In today’s data-driven world, efficient tools for managing and analyzing data are indispensable. Enter DuckDB, the in-process analytical database gaining popularity among Python developers, data scientists, and analytics enthusiasts. Often likened to SQLite for analytics, DuckDB combines the simplicity of installation with the raw power of modern database innovations.…
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
Database management has come a long way from the early days when a handful of administrators (DBAs) managed a company’s databases. With the growth of big data, distributed systems, and cloud-native applications, the role of database professionals has evolved into what we now refer to as Database Reliability Engineers (DBREs).…
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…