Valve

CEVA Cyberattack Disrupts De Bijenkorf Online Sales

A cyberincident at logistics provider CEVA Logistics is disrupting operations for multiple European retailers. De Bijenkorf says many items are unavailable online and deliveries delayed after a CEVA distribution centre in Tilburg—serving both its stores and e‑commerce—was affected; it has published a customer FAQ. Ace & Tate routed frame orders to in‑store pickup while continuing to ship contact lenses. About You is investigating possible unauthorized access to CEVA systems and has moved affected logistics processes to other sites. Media reports name marketplace Bol among CEVA customers, and some firms (including Valve) have notified customers about potential exposure of personal data. CEVA has indicated that customer names, addresses, phone numbers and order data may have been exposed; passwords and payment details are reportedly not believed to be leaked. Investigations are ongoing.

Ceva Logistics hack exposes customer data across Europe

Ceva Logistics, a France-headquartered global shipping and logistics company, suffered a cyber intrusion that has impacted at least eight European warehouses and resulted in the theft of customer personal information. The attack, which industry reporting says began on July 29, has caused shipping delays and order cancellations for multiple retailers and organizations that use Ceva for fulfillment. Affected parties named in reporting include Dutch retailers Bol and De Bijenkorf, football club Ajax, bank ING, eyeglass maker Ace & Tate, and game company Valve (which notified Steam hardware customers). Ceva confirmed the intrusion on Aug. 1, said it is investigating, restored some services, and is working with authorities; the Dutch data protection authority has received breach reports from 10 organizations.

Guide: How to Handle Very Large Datasets

This technical guide explains practical steps for working with datasets that exceed spreadsheet limits. It defines 'large' (e.g., >1,048,576 rows or multi-GB files), recommends moving data into a database (SQLite) rather than a spreadsheet, and details real-world quirks: zipped downloads, slow imports and database growth, the performance benefits of creating indexes (including expression indexes), sampling queries during development, aggregating early, and checking data types. It notes SQLite handles many multi-GB files but suggests DuckDB or pandas with chunksize if you outgrow SQLite.