Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

Data Science 130

Data Science Data Scientist Data Analyst Machine Learning 130

Alation

MAY 17, 2022

Like Google’s web search, these catalog search tools can catch typos, recognize synonyms, and use algorithms to order results by predicted usefulness. Those algorithms draw on metadata, or data about the data, that the catalog scrapes from source systems, along with behavioral metadata, which the catalog gathers based on human data usage.

Data Analyst 52

Data Analyst Data Quality Machine Learning Machine Learning 52

Hacker News

MARCH 11, 2024

automated testing, hardcoded secrets, enabling OS protections, string/SQL injections, software bills of materials). Some implementations also use needlessly inefficient algorithms for dynamic_cast itself. Most of the issues listed in NISTIR-8397 affect all languages equally, as they go beyond memory safety (e.g.,

Python 182

Python Algorithm SQL 182

Cambridge Intelligence

NOVEMBER 7, 2022

TigerGraph GraphDB is built on a distributed native graph database, with a SQL-like query language called GSQL, and integrated tooling that makes it a popular enterprise choice. You can take it much further by adding new elements such as advanced network filtering , clever node groupings and complex graph algorithms.

Database 52

Database SQL Data Scientist Data Visualization 52