Sisense

APRIL 26, 2020

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Unstructured data.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. Transformer models take applications such as language translation and chatbots to a new level.

Unstructured Data 138

Unstructured Data Modeling Machine Learning Data mining 138

Smart Data Collective

AUGUST 30, 2022

It also allows companies to offload large amounts of data from their networks by hosting it on remote servers anywhere on the globe. Cloud computing allows companies’ multiple servers to store and manage their data in a distributed fashion. Centralized data storage. Multi-cloud computing. Before you go.

Technology 134

Technology Enterprise Cost-Benefit Testing 134

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 126

Data Architecture Data Warehouse Statistics Visualization 126

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? For instance, a parsing model could identify the subject, verb and object of a complete sentence.

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. E-commerce giants like Alibaba and Amazon extensively use big data to understand the market. Unlike traditional databases, processing large data volumes can be quite challenging.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Ontotext

MAY 22, 2023

What is the future of knowledge graphs in the era of ChatGPT and Large Language Models? To start with, Large Language Models (LLM) will not replace databases. They are good for compressing information, but one cannot retrieve from such a model the same information that it got trained on. That’s something that LLMs cannot do.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59