Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. FMs, as the name suggests,...
Data engineering plays a pivotal role in the vast data ecosystem by collecting, transforming, and delivering data essential for analytics, reporting, and machine learning....
Apache Flink and Apache Spark are both open-source, distributed data processing frameworks used widely for big data processing and analytics. Spark is known for...
Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the...
In today’s digital age, logging is a critical aspect of application development and management, but efficiently managing logs while complying with data protection regulations...
This post was co-written by Mahesh Pasupuleti and Gaurav Shah from Poshmark. Poshmark is a leading social marketplace for new and secondhand styles for...
Introduction
Big Data is a large and complex dataset generated by various sources and grows exponentially. It is so extensive and diverse that traditional data...
Introduction
You must have noticed the personalization happening in the digital world, from personalized Youtube videos to canny ad recommendations on Instagram. While not all...
