Smart Data Collective

APRIL 8, 2020

In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago. With such large amounts of data available across industries, the need for efficient big data analytics becomes paramount.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Flipboard

JUNE 9, 2025

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AWS 72

AWS Data Engineering Data Engineer Data Engineering 72

Smart Data Collective

APRIL 2, 2019

Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation. Data lakes were designed to be agile and provide analytics data on the fly while processing incoming data at a remarkable speed.

Data Lakes 106

Data Lakes Big Data Big Data Data Scientist 106

Flipboard

SEPTEMBER 26, 2023

This article was written by Michael Schroeder of SGA for Work Design Magazine. They reference exclusive databases populated with the most up-to-date codes. This work in the back end reads and structures BIM elements into a special type of database called the vector database. These commercially available programs are good.

AI 142

AI AI Database Artificial Intelligence 142

Flipboard

JUNE 11, 2025

I’m Sam Ransbotham, professor of analytics at Boston College. Sam Ransbotham: … ImageNet is a database of 14-plus million images that … started with a contest about a decade ago for image recognition. Sam Ransbotham: Welcome to Me, Myself, and AI , a podcast on artificial intelligence in business.

Artificial Intelligence 109

Artificial Intelligence Artificial Intelligence AI AI 109

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. There is one Query language known as SQL (Structured Query Language), which works for a type of database. SQL Databases are MySQL , PostgreSQL , MariaDB , etc. Why do we need databases?

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Dataconomy

MAY 11, 2023

As a result, this data can be leveraged to perform analytics, streamline operations, automate workflows, and increase productivity. The OCR software then employs pattern-matching algorithms to compare text images, character by character, to its internal database.

Database 142

Database Machine Learning Machine Learning Algorithm 142