Data mining, Structured Data and Unstructured Data

Data mining

Structured Data

Unstructured Data

Data Mining vs Data Warehousing: 8 Critical Differences

Analytics Vidhya

MAY 29, 2023

The two pillars of data analytics include data mining and warehousing. They are essential for data collection, management, storage, and analysis. Both are associated with data usage but differ from each other.

Data mining

Data mining Data Collection Strategy Data Analytics

Understanding Structured and Unstructured Data

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 Data Warehouse Structured Data Data mining

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How to Achieve High-Accuracy Results When Using LLMs

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Text Analytics – Understanding the Voice of Consumers

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. . Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc. – into structured data to develop actionable managerial insights to enhance their operations. . .

Analytics

Analytics Unstructured Data Data mining Structured Data

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How to Achieve High-Accuracy Results When Using LLMs

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Business Intelligence Solutions: Every Thing You Need to Know

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. All BI software capabilities, functionalities, and features focus on data.

Business Intelligence

Business Intelligence OLAP Data mining Visualization

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science

Data Science Data Analytics Prescriptive Analytics Analytics

Text Analytics – Understanding the Voice of Consumers

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc. into structured data to develop actionable managerial insights to enhance their operations.

Analytics

Analytics Unstructured Data Data mining Structured Data

Building Better Data Models to Unlock Next-Level Intelligence

Sisense

MAY 11, 2021

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users.

Modeling

Modeling Big Data IoT Data Warehouse

Transforming Big Data into Actionable Intelligence

Sisense

MARCH 14, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data

Big Data IoT Data Warehouse Data-driven

Leveraging user-generated social media content with text-mining examples

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? Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data.

Data mining

Data mining Machine Learning Deep Learning Marketing

How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS Big Data

FEBRUARY 22, 2023

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.

Data Lake

Data Lake Dashboards Cost-Benefit Data Warehouse

What is a Data Pipeline?

Jet Global

MAY 9, 2024

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).

Data Lake

Data Lake Data Warehouse Business Intelligence Machine Learning

Discover Efficient Data Extraction Through Replication With Angles Enterprise for Oracle

Jet Global

NOVEMBER 7, 2023

The Challenges of Extracting Enterprise Data Currently, various use cases require data extraction from your OCA ERP, including data warehousing, data harmonization, feeding downstream systems for analytical or operational purposes, leveraging data mining, predictive analysis, and AI-driven or augmented BI disciplines.

Enterprise

Enterprise Data Warehouse Operational Reporting Reporting

Data Leaders Brief

Data Mining vs Data Warehousing: 8 Critical Differences

Understanding Structured and Unstructured Data

Webinars

Trending Sources

Text Analytics – Understanding the Voice of Consumers

Webinars

Business Intelligence Solutions: Every Thing You Need to Know

Data science vs data analytics: Unpacking the differences

Text Analytics – Understanding the Voice of Consumers

Building Better Data Models to Unlock Next-Level Intelligence

Transforming Big Data into Actionable Intelligence

Leveraging user-generated social media content with text-mining examples

How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

What is a Data Pipeline?

Discover Efficient Data Extraction Through Replication With Angles Enterprise for Oracle

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