Analytics Vidhya

MAY 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the current scenario of the pandemic COVID-19 situation, biopharmaceuticals is an emerging and demanding field of life science, and data science is equally another popular discipline.

Data Science 271

Data Science Publishing Analytics Unstructured Data 271

Analytics Vidhya

MAY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We produce a massive amount of data each day, whether. The post What is Big Data? Introduction, Uses, and Applications. appeared first on Analytics Vidhya.

Big Data 246

Big Data Data Science Publishing Analytics 246

Domino Data Lab

AUGUST 9, 2021

Machine learning identifies patterns in data using algorithms that are primarily based on traditional methods of statistical learning. It’s most helpful in analyzing structured data. Based on the concept of neural networks, it’s useful for analyzing images, videos, text and other unstructured data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

erwin

JUNE 26, 2020

A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization. It organizes them into a simple, easy- to-digest format and then publishes them to data communities for knowledge-sharing and collaboration.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 118

IT Data Architecture Unstructured Data Big Data 118

CIO Business Intelligence

JUNE 14, 2023

How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Ontotext

OCTOBER 19, 2023

AIDAVA (short for AI-powered Data Curation & Publishing Virtual Assistant) is a Horizon Europe project, which brings together 14 partners from 9 EU countries. The best way to do that is to follow the FAIR principles, which are a set of guidelines on how to publish and share data with other people and systems.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

FineReport

FEBRUARY 5, 2020

Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis. Publish and share analysis content. Metadata management.

Metadata 98

Metadata Dashboards Informatics Visualization 98

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 97

IT Data Architecture Unstructured Data Big Data 97

AWS Big Data

JUNE 26, 2024

There could be a dedicated account that acts like a producer to share data, and a few other consumer accounts to subscribe to published assets in the catalog. By doing so, the role has access to the newly subscribed data as well as permissions from previous setups to access data from other AWS resources.

Data Lake 117

Data Lake Data Warehouse Unstructured Data Data Governance 117

Sisense

JUNE 30, 2020

The data drawn from power visualizations comes from a variety of sources: Structured data , in the form of relational databases such as Excel, or unstructured data, deriving from text, video, audio, photos, the internet and smart devices. Her debut novel, The Book of Jeremiah , was published in 2019.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 60

Data Warehouse Unstructured Data Analytics Visualization 60

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. Peio called this ecosystem “The Fellowship of the Graph”.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. Yet metadata about the data contained in spreadsheets, including (but not limited to) the name, location, purpose, data source, and ownership does not often exist.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

Ontotext

NOVEMBER 2, 2023

The pathway forward doesn’t require ripping everything out but building a semantic “graph” layer across data to connect the dots and restore context. However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight.

IT 69

IT Cost-Benefit Data-driven Technology 69

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 129

Metadata Cost-Benefit Enterprise Interactive 129

Smart Data Collective

MARCH 16, 2020

No doctor could analyze the 5,000 scientific articles published annually on coronary diseases. The medical examination, the diagnosis, the prescriptions, most of the doctor’s activity can be done by a robot and with more objective data in the head. Unstructured or unstructured data is the opposite.

Deep Learning 84

Deep Learning Unstructured Data Cost-Benefit Big Data 84

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 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

NOVEMBER 7, 2023

This growth is caused, in part, by the increasing use of cloud platforms for data storage and processing. But it is also a result of the surge in multimedia content in cloud repositories that requires tools and methods for extracting insights from rich, unstructured data formats. The alternative to BICC is BI Publisher (BIP)​.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Jet Global

OCTOBER 1, 2024

This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases. It directly queries structured and semi-structured data from data lakes , enabling operational dashboards and real-time analytics without the need for preprocessing.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52