AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Data Engineering Weekly

JUNE 4, 2023

[link] LlamaIndex: Combining Text-to-SQL with Semantic Search for Retrieval Augmented Generation A query engine can leverage the expressivity of SQL over structured data and join it with unstructured context from a vector database - The future of data processing.

Data Engineer 52

Data Engineer Data Engineering Engineering Medical 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

Knowledge Hut

MAY 31, 2023

AI Health Engine Language: Python Data set: CSV file Source code: Patient-Selection-for-Diabetes-Drug-Testing Artificial intelligence (AI) in healthcare is called the "AI Health Engine." The structured data can be utilized for various tasks, including applicant tracking, hiring, and talent management.

Project 96

Project Healthcare Deep Learning Transportation 96

Edureka

AUGUST 2, 2023

Data processing analysts are experts in data who have a special combination of technical abilities and subject-matter expertise. They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

JULY 28, 2023

Data Types and Dimensionality ML algorithms work well with structured and tabular data, where the number of features is relatively small. DL models excel at handling unstructured data such as images, audio, and text, where the data has a large number of features or high dimensionality.

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. Handling this variety of data requires flexible data storage and processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

AltexSoft

MAY 14, 2021

A single car connected to the Internet with a telematics device plugged in generates and transmits 25 gigabytes of data hourly at a near-constant velocity. And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

MARCH 15, 2016

Such large commercial banks can leverage big data analytics more effectively by using frameworks like Hadoop on massive volumes of structured and unstructured data. Hadoop allows us to store data that we never stored before. Big Data and Hadoop technology is also applied in the Healthcare Insurance Business.

Hadoop 40

Hadoop Retail Healthcare Banking 40

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

ProjectPro

OCTOBER 18, 2021

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

NOVEMBER 14, 2015

Such unstructured data has been easily handled by Apache Hadoop and with such mining of reviews now the airline industry targets the right area and improves on the feedback given. The use of Facebook or something similar is at every home around the globe, thus producing tons of data.

Hadoop 52

Hadoop Project Big Data Healthcare 52

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 BI Machine Learning 64

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.) Why and when do you critically need data scientists? Healthcare: identifying transplant candidates. To create state-of-the art features.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59