phData: Data Engineering

AUGUST 11, 2023

However, data collection and analysis have been commonplace in the healthcare sector for ages. Data Engineering in day-to-day hospital administration can help with better decision-making and patient diagnosis/prognosis. Thus, using data engineering is a must in 2023 for hospitals. Joseph Hospital.

Healthcare 52

Healthcare Data Engineering Data Engineer Hospitality 52

Knowledge Hut

DECEMBER 21, 2023

The data collected from IoT devices can be used to improve decision-making, optimize processes, and enhance customer experiences. This data is sent to the retailer's inventory management system, which can then automatically order more inventory. If you want to know more about IoT, check out online IoT training.

Coding 98

Coding Transportation Medical Retail 98

AltexSoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. Clinic and hospital datasets.

Medical 52

Medical Datasets Machine Learning Hospitality 52

AltexSoft

SEPTEMBER 19, 2023

Company’s booking website and mobile app allow you to track and collect a wealth of data, from web traffic information to user behavioral metrics (session duration, navigation paths, etc.), For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Knowledge Hut

APRIL 25, 2024

Big data can be summed up as a sizable data collection comprising a variety of informational sets. It is a vast and intricate data set. Big data has been a concept for some time, but it has only just begun to change the corporate sector. Fewer hospital stays, also aids patients in lowering healthcare costs.

Big Data 97

Big Data Entertainment Transportation Banking 97

Snowflake

JULY 31, 2024

Academic medical centers (AMCs) are a critical keystone of healthcare systems worldwide. alone, there are more than 230 active AMCs , and a significant number are part of a health system. Each of these data types can require specialized software packages, hardware environments and data processing techniques. In the U.S.

Medical 52

Medical Healthcare Insurance Hospitality 52

Data Engineering Podcast

SEPTEMBER 18, 2022

In this episode Tommy Yionoulis shares his experiences working in the service and hospitality industries and how that led him to found OpsAnalitica, a platform for collecting and analyzing metrics on multi location businesses and their operational practices. Can you describe how the OpsAnalitica system is implemented?

Hospitality 100

Hospitality Food MongoDB Scala 100

Knowledge Hut

OCTOBER 29, 2023

Build Cardiovascular disease early detection system As the name suggests, this project is a simple one to get started with Azure Cognitive Services. Smart watches can help in data collection and then the same data can be fed into an application that is capable of sending alerts in case an outlier is detected.

Project 52

Project Hospitality Food Datasets 52

Knowledge Hut

JANUARY 18, 2024

For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation. It also helps organizations to maintain complex data processing systems with machine learning. Some key reasons to become a data scientist include the following.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

AltexSoft

FEBRUARY 21, 2023

Check out our video on how revenue management works in hospitality. The complexity of the hospitality market. For machine learning algorithms to predict prices accurately, people who do the data preparation must consider these factors and gather all this information to train the model. Hospitality data providers.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Cloudera

SEPTEMBER 29, 2021

Among the use cases for the government organizations that we are working on is one which leverages machine learning to detect fraud in payment systems nationwide. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

Medical 82

Medical Government Hospitality Electronics 82

Edureka

AUGUST 2, 2023

They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used. They are responsible for processing, cleaning, and transforming raw data into a structured and usable format for further analysis or integration into databases or data systems.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

DECEMBER 21, 2023

Cloud computing could help businesses to improve their security in terms of data, Cloud providers offer various features such as data encryption and access control to their customers so that they can protect the data as well as from unauthorized access.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

U-Next

SEPTEMBER 22, 2022

An evaluation of a sequence of data points over a period of time is carried out using this model. It is possible, for example, to predict how many patients will be admitted to the hospital next week, next month or the remainder of the year based on the number of stroke patients admitted to the hospital in the last four months. .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

AltexSoft

MAY 14, 2021

Big Data analytics processes and tools. Data ingestion. The process of identifying the sources and then getting Big Data varies from company to company. It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing. Data storage and processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

SEPTEMBER 21, 2023

From those home-made beginnings as Compass, Elasticsearch has matured into one of the leading enterprise search engines, standing among the top 10 most popular database management systems globally according to the Stack Overflow 2023 Developer Survey. Fluentd is a data collector and a lighter-weight alternative to Logstash.

Engineering 52

Engineering NoSQL Programming Language Java 52

Knowledge Hut

DECEMBER 29, 2023

Specific Skills and Knowledge: Data collection and storage optimization Data processing and interpretation Reporting and displaying statistical and pattern information Developing and evaluating models to handle huge amounts of data Understanding programming languages C.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JANUARY 19, 2024

Collect Data Green Belts or Black Belts are responsible for data collection by the project champion. For a few weeks, this team tried to collect any data that would help the project. The champion then enters the data into a charter template and collaborates with the group to edit it.

Project 52

Project Retail Media Manufacturing 52

Knowledge Hut

FEBRUARY 11, 2023

Training and Educational Institutions The education system in Singapore is rich with numerous training and educational institutions. Hospitality Singapore attracts visitors from all over the world. The hospitality industry thus thrives vibrantly with a never-end potential to grow. A few institutes also offer part-time jobs.

Media 52

Media Food Recruitment Hospitality 52

Knowledge Hut

DECEMBER 26, 2023

Data Analytics is a process where data is inspected, transformed and interpreted to discover some useful bits of information from all the noise and make decisions accordingly. It forms the entire basis of the social media industry and finds a lot of use in IT, finance, hospitality and even social sciences. Why data analytics?

Certification 52

Certification Data Analytics BI AWS 52

Knowledge Hut

DECEMBER 27, 2023

An MBA in Hospitality and Tourism is one wise choice to go for. The Operation Executive creates plans for simplifying the process and systems helping Primary Business operations. A company gives a particular goal, while a Data Scientist gives the databases required to achieve the goal. In short, to get more profits.

Banking 52

Banking Finance Recruitment Portfolio 52

Knowledge Hut

JANUARY 11, 2024

Let’s look at the top eight data science case studies in this article so you can understand how businesses from many sectors have benefitted from data science to boost productivity, revenues, and more. Examples of Data Science Case Studies Hospitality: Airbnb focuses on growth by analyzing customer voice using data science.

Data Science 98

Data Science Transportation Hospitality Banking 98

ProjectPro

AUGUST 24, 2021

With the trending advance of IoT in every facet of life, technology has enabled us to handle a large amount of data ingested with high velocity. This big data project discusses IoT architecture with a sample use case. Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Ascend.io

OCTOBER 12, 2023

Integration and Workflow Design Map Out Desired Workflow: Before diving into tools, sketch out how you want data to flow once automated. Address Integration Points: Identify where data needs to be shared between systems or departments. Think about how to make this transfer smooth, ensuring data integrity. Who inputs it?

Hospitality 52

Hospitality Data Pipeline Healthcare Data Governance 52

ProjectPro

JULY 10, 2021

Time Series-based Data Analysis for Taxi Service 4. Recommendation Systems for Web Streaming Apps 5. Migration Prediction System 9. Covid-19 Prediction System 12. Stock Price Prediction The goal is to develop an accurate stock price prediction system to predict the stock performance over a specific period.

Project 40

Project Banking Datasets Python 40

Knowledge Hut

DECEMBER 26, 2023

Due to its vastness and complexity, no traditional data management system can adequately store or process this data. The New York Stock Exchange, which generates one terabyte of new trade data each day, is a classic example of big data. Key Benefits and Takeaways Learn the basics of big data with Spark.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75