AltexSoft

MAY 14, 2021

Data can be incomplete, inconsistent, or noizy, decreasing the accuracy of the analytics process. Due to this, data veracity is commonly classified as good, bad, and undefined. That’s quite a help when dealing with diverse data sets such as medical records, in which any inconsistencies or ambiguities may have harmful effects.

Big Data 78

Big Data Data Analytics IT NoSQL 78

U-Next

AUGUST 18, 2022

Data Science may combine arithmetic, business savvy, technologies, algorithm, and pattern recognition approaches. These factors all work together to help us uncover underlying patterns or observations in raw data that can be extremely useful when making important business choices. Theaters, channels, etc.,

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

Snowflake

APRIL 5, 2023

With Snowflake’s support for multiple data models such as dimensional data modeling and Data Vault, as well as support for a variety of data types including semi-structured and unstructured data, organizations can accommodate a variety of sources to support their different business use cases.

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

Edureka

JANUARY 18, 2024

For those looking to start learning in 2024, here is a data science roadmap to follow. What is Data Science? Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

AltexSoft

DECEMBER 15, 2021

The University of Pittsburgh Medical Center, or UPMC for short, sprawls across 40 hospitals and provides services in various specialty areas, including living donor liver transplants (LDLT.) feature engineering or feature extraction when useful properties are drawn from raw data and transformed into a desired form, and.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake Machine Learning BI 64

Knowledge Hut

APRIL 23, 2024

Big Data Use Cases in Industries You can go through this section and explore big data applications across multiple industries. Clinical Decision Support: By analyzing vast amounts of patient data and offering in-the-moment insights and suggestions, use cases for big data in healthcare helps workers make well-informed judgments.

Big Data 52

Big Data Recruitment Retail Transportation 52

U-Next

SEPTEMBER 23, 2022

It offers data that makes it easier to comprehend how the company is doing on a global scale. Additionally, it is crucial to present the various stakeholders with the current raw data. Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Diagnostic Analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

ProjectPro

NOVEMBER 14, 2015

Big data technologies used: Microsoft Azure, Azure Data Factory, Azure Databricks, Spark Big Data Architecture: This sample Hadoop real-time project starts off by creating a resource group in azure. To this group, we add a storage account and move the raw data.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

OCTOBER 18, 2021

To build such ML projects, you must know different approaches to cleaning raw data. You can leverage these data to create a system that can predict the patient's ailment and forecast the admission. KenSci is an AI-based solution that can analyze clinical data and predict sickness along with more intelligent resource allocation.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

AUGUST 16, 2021

NLP projects are a treasured addition to your arsenal of machine learning skills as they help highlight your skills in really digging into unstructured data for real-time data-driven decision making. Topic Modelling Topic modelling is the inference of main keywords or topics from a large set of data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Edureka

MARCH 26, 2025

Multiple levels: Raw data is accepted by the input layer. What follows is a list of what each neuron does: Input Reception: Neurons receive inputs from other neurons or raw data. There is a distinct function for each layer in the processing of data: Input Layer: The first layer of the network.

Raw Data 40

Raw Data Architecture Deep Learning Finance 40

U-Next

SEPTEMBER 23, 2022

Previously, organizations dealt with static, centrally stored data collected from numerous sources, but with the advent of the web and cloud services, cloud computing is fast supplanting the traditional in-house system as a dependable, scalable, and cost-effective IT solution. It is not as simple as converting data into insights.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40