Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon What is Computer Vision? The post PAN card fraud detection using computer vision appeared first on Analytics Vidhya. Computer vision is a field of artificial.

Data Science 242

Data Science Publishing Analytics Unstructured Data 242

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? appeared first on Analytics Vidhya. Introduction, Uses, and Applications.

Big Data 166

Big Data Data Science Publishing Analytics 166

Jet Global

OCTOBER 30, 2020

In this article, we will examine some of the key changes of which you need to be aware in a way that will enable you to find some common ground with the technical experts in the IT department or the consultants who are helping you to migrate. Data lakes are oriented toward unstructured data and artificial intelligence.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

Smart Data Collective

SEPTEMBER 26, 2019

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. Unstructured. Unstructured data lacks a specific format or structure.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. The third challenge is how to combine data management with analytics.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

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 84

Business Intelligence OLAP Data mining Visualization 84

Ontotext

FEBRUARY 26, 2024

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Strategic planning and predictive analytics : Companies can use this analysis for strategic planning. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

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

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. The Replication Manager service facilitates both disaster recovery and data migration across different environments.

Data Lake 69

Data Lake Metadata Unstructured Data Management 69

FineReport

FEBRUARY 5, 2020

Based on the study of the evaluation criteria of Gartner Magic Quadrant for analytics and Business Intelligence Platforms, I have summarized top 10 key features of BI tools for your reference. Overall, as users’ data sources become more extensive, their preferences for BI are changing. Analytics dashboards. of BI pages.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Cloudera

NOVEMBER 25, 2020

In any pharma, one of the largest data problems is variety, and it has been unsolved for the last 11 years, because: . Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 115

Strategy Data Science Marketing Unstructured Data 115

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. But this was only the tip of the analytics iceberg.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Cloudera

OCTOBER 7, 2021

This blog will focus more on providing a high level overview of what a data mesh architecture is and the particular CDF capabilities that can be used to enable such an architecture, rather than detailing technical implementation nuances that are beyond the scope of this article. Introduction to the Data Mesh Architecture.

Metadata 123

Metadata Cost-Benefit Enterprise Interactive 123

Smart Data Collective

MARCH 16, 2020

He should elaborate more on the benefits of big data and deep learning. A lot of big data experts argue that deep learning is key to controlling costs. Health IT Analytics wrote an article on the cost benefits of using big data in healthcare. Unstructured or unstructured data is the opposite.

Deep Learning 79

Deep Learning Unstructured Data Cost-Benefit Big Data 79