Dataconomy

APRIL 27, 2023

What is an online transaction processing database (OLTP)? OLTP is the backbone of modern data processing, a critical component in managing large volumes of transactions quickly and efficiently. This approach allows businesses to efficiently manage large amounts of data and leverage it to their advantage in a highly competitive market.

Database 159

Database Data Scientist Data Mining Data Mining 159

AWS Machine Learning Blog

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 104

AWS Analytics Analytics Machine Learning 104

AWS Machine Learning Blog

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 97

AWS Analytics Analytics Machine Learning 97

Pickl AI

NOVEMBER 15, 2023

What Is Data Lake? A Data Lake is a centralized repository that allows businesses to store vast volumes of structured and unstructured data at any scale. Unlike traditional databases, Data Lakes enable storage without the need for a predefined schema, making them highly flexible.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

phData

DECEMBER 4, 2024

As with customer service automation, the main challenge is to have all your product manuals and documentation in a central database for the AI to process. The general idea is to use Industrial Internet of Things (IIoT) devices to monitor equipment and processes to optimize everything about the production process.

AI 52

AI AI Data Warehouse Data Quality 52

Alation

AUGUST 2, 2022

The problem many companies face is that each department has its own data, technologies, and information handling processes. This causes data silos to form, which can inhibit data visibility and collaboration, and lead to integrity issues that make it harder to share and use data.

Data Silos 52

Data Silos Data Lakes Data Analyst Data Scientist 52