🎯 Today's Big Data Pulse
Big data analytics becomes a staple in U.S. finance
Big data analytics has shifted from a frontier technology to a settled discipline in U.S. finance, with cloud warehouses, lakehouses and streaming pipelines now commoditized. Proven use cases such as Customer‑360, risk, fraud and regulatory analytics consistently generate ROI, while data quality remains the biggest constraint.
Also developing:
By the numbers: Pirelli takes 30% stake in Univrses
🚀 Top Big Data Headlines
Fleetworthy Bets on AI, Unified Data as Trucking Margins Tighten
Fleetworthy executives recently unveiled a connected platform strategy they say will help fleets reduce operational inefficiencies and leverage AI-driven analytics across trucking operations. The post Fleetworthy bets on AI, unified data as trucking margins tighten appeared first on FreightWaves.
FreightWaves
Pinewood.AI Expands Dealer BI Platform with New Modules
Pinewood.AI has launched new business intelligence modules designed to give dealers deeper financial and customer journey insight.
AM Online
Neaton Auto Products Manufacturing (NAPM) Improved Quality Control and Reduced Search Time by 70% with CADDi AI Data Platform
New case study analyzes how Tier-1 automotive supplier advances AI adoption by unifying four decades of data across engineering, procurement and quality control
Manufacturing Tomorrow
Architecting Petabyte-Scale Hyperspectral Pipelines on AWS
The Data Challenge Every industry has its version of the same data engineering problem: massive, complex payloads generated at the edge — far from the cloud, often on unreliable networks — that need to become queryable, structured datasets as fast as possible. In genomics, it is multi-gigabyte sequencing files produced by instruments in labs. In autonomous vehicles, it is LiDAR and camera telemetry streaming off test fleets. The underlying architectural challenge is the same in every case: ingest heavy data at burst scale, store it cost-effectively for years, and transform it into something an analyst or ML model can actually use without touching the raw files.
DZone – Big Data Zone
Big Data Analytics in U.S. Finance: From Frontier to Settled Discipline
Big data analytics in U.S. finance has stopped being a frontier and become a settled discipline. The technology choices are largely commoditised: cloud data warehouses, lakehouses, streaming pipelines, and the surrounding tooling have converged into a recognisable stack. The interesting questions have moved from how to store and process the data to what to actually […] The post Big Data Analytics in U.S. Finance: From Frontier to Settled Discipline appeared first on TechBullion.
TechBullion
💬 Top Big Data Social Posts
Thread by @Sspdata
"It's not uncommon to find an incorrect query rolled up into a weekly ops review with the CEO. This was true before AI", and yet: "I think AI will do the majority of the DE work in the future". These are two of many quotes Chris Riccomini, co-author of the 2nd edition of the iconic DDIA book.
Tweet by @Gwenshap
Why sometimes you do need Kafka after all… “To guarantee ordering, every single COMMIT with a pending NOTIFY acquired AccessExclusive lock on a global object” https://t.co/X2xFzLDYQI