Remove 2013 Remove Data Architecture Remove Data Science
article thumbnail

Operational AI: The Only AI That Matters

Teradata

Standards like BCBS 239 are back and nonnegotiable Originally issued in 2013, BCBS 239 set the standard for risk data aggregation and reporting. Check your inbox each week for our take on data science, business analytics, tech trends, and more. For years, it was considered a back-office compliance requirement.

article thumbnail

Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Below we’ll go over how a translation company, and specifically one that provides translations for businesses, can easily align with big data architecture to deliver better business growth. How Does Big Data Architecture Fit with a Translation Company? That’s the data source part of the big data architecture.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

DataKitchen’s 2020 Honors & Awards

DataKitchen

DataKitchen provides an end-to-end DataOps platform that automates and coordinates people, tools, and environments in the entire data analytics organization—from orchestration, testing, and monitoring to development and deployment. CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far).

article thumbnail

How Wallapop improved performance of analytics workloads with Amazon Redshift Serverless and data sharing

AWS Big Data

In this post, we show how Wallapop adopted Redshift Serverless and data sharing to modernize their data warehouse architecture. Wallapop’s initial data architecture platform Wallapop is a Spanish ecommerce marketplace company focused on second-hand items, founded in 2013. Jordi Montoliu is a Sr.

article thumbnail

Why We Started the Data Intelligence Project

Alation

Two data-driven careers. In 2013 I joined American Family Insurance as a metadata analyst. I was changing careers and had just completed a degree in Library and Information Science. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. Why is so much time wasted?