Smart Data Collective

AUGUST 30, 2022

Enterprise cloud technology applications are the future industry standard for corporations. Here’s how enterprises use cloud technologies to achieve a competitive advantage in their essential business applications. Cloud technology results in lower costs, quicker service delivery, and faster network data streaming.

Technology 134

Technology Enterprise Cost-Benefit Testing 134

IBM Big Data Hub

MAY 19, 2023

Small and midsize enterprises (SMEs) are the fastest-growing segment in the market due to reliability, scalability, integration, flexibility and improved productivity. As a small- to medium-sized enterprise (SME), TDC Digital needed a transparent billing system to predict its expenses and price its services effectively.

Unstructured Data 74

Unstructured Data Data Processing Manufacturing Data Lake 74

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured data contains a mixture of both structured and unstructured data. Semi-structured. Improving Efficiency.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Ontotext

NOVEMBER 22, 2020

Ontotext’s extensive experience of bringing enterprise-level to national and global brands understands this and has for over a decade strived to make the power of semantic technology accessible. From packaging and deployment to monitoring tools and report generations, the Platform has everything an enterprise needs.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 77

Data Lake Testing Interactive Unstructured Data 77