Towards Data Science

DECEMBER 16, 2024

And over the last 24 months, an entire industry has evolved to service that very visionincluding companies like Tonic that generate synthetic structured data and Gretel that creates compliant data for regulated industries like finance and healthcare. But is synthetic data a long-term solution? Probablynot.

Unstructured Data 80

Unstructured Data Data Food Data Engineering 80

Snowflake

FEBRUARY 6, 2024

An end-user-facing data catalog or marketplace can improve discoverability and access. Transform unstructured data to expand available internal data. To ensure that all data is made available, organizations must adopt tools to transform unstructured data into usable formats.

Unstructured Data 126

Unstructured Data Retail Data Manufacturing 126

Snowflake

MAY 2, 2023

You hear the word “interoperability” used a lot these days in healthcare. But the word means different things to different people across the healthcare ecosystem. And payers or insurers may want to see all inpatient, outpatient, pharmacy, and enrollment data in one place to help improve and speed up decision making processes.

Healthcare 52

Healthcare Insurance Unstructured Data Data Security 52

Snowflake

APRIL 8, 2024

The list of Top 10 semi-finalists is a perfect example: we have use cases for cybersecurity, gen AI, food safety, restaurant chain pricing, quantitative trading analytics, geospatial data, sales pipeline measurement, marketing tech and healthcare.

Pipeline-centric 131

Pipeline-centric Food Healthcare Unstructured Data 131

phData: Data Engineering

NOVEMBER 1, 2024

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. The technology for metadata management, data quality management, etc., is fairly advanced.

Government 52

Government Data Governance Finance Metadata 52

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. Microsoft’s move tells a lot about the company’s (and the healthcare industry’s) priorities. Healthcare organizations generate a lot of text data.

Medical 52

Medical Healthcare Process Hospitality 52

Snowflake

JUNE 13, 2024

Bringing in batch and streaming data efficiently and cost-effectively Ingest and transform batch or streaming data in <10 seconds: Use COPY for batch ingestion, Snowpipe to auto-ingest files, or bring in row-set data with single-digit latency using Snowpipe Streaming.

Data Ingestion 113

Data Ingestion MySQL PostgreSQL Data Pipeline 113

Snowflake

NOVEMBER 29, 2023

Technological drivers Data storage: Snowflake provides unprecedented flexibility to store a variety of data sources of all modalities (streaming, structured, semi-structured and unstructured) at a low cost, including omics data such as variant (VCF) data and unstructured data such as pathology images.

Metadata 109

Metadata Healthcare Medical Data Storage 109

phData: Data Engineering

NOVEMBER 8, 2024

It enables analysts and data engineers to “go back in time” and investigate how data looked at specific points, a critical feature for industries with stringent audit requirements, such as finance, healthcare, and e-commerce. They also support ACID transactions, ensuring data integrity and stored data reliability.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

ProjectPro

MARCH 16, 2015

There is a lot of buzz around big data making the world a better place and the best example to understand this is analysing the uses of big data in healthcare industry. Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry.

Healthcare 40

Healthcare Big Data Project Hospitality 40

Striim

AUGUST 28, 2024

For example, fraud detection models relying on batch data might miss real-time anomalies, whereas real-time data can detect and respond to fraud within milliseconds. In healthcare, real-time patient monitoring can provide immediate insights for timely interventions, improving patient outcomes.

Healthcare 96

Healthcare Retail Algorithm Finance 96

Edureka

JUNE 7, 2024

paintings, songs, code) Historical data relevant to the prediction task (e.g., Deep Learning Models Deep learning models are particularly adept at extracting insights from unstructured data like images, text, and audio. And that’s the tip of the iceberg of possibilities.

Deep Learning 114

Deep Learning Media Algorithm Manufacturing 114

Knowledge Hut

MAY 3, 2024

We collect hundreds of petabytes of data on this platform and use Apache Spark to analyze these enormous amounts of data. Healthcare Industry – Healthcare has multiple use-cases of unstructured data to be processed in real-time.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

AltexSoft

MAY 27, 2022

Healthcare facilities and insurance companies would give a lot to know the answer for each new admission. This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. omplete a training course in human subjects research and sign a data use agreement.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Cloudera

JULY 26, 2021

Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enabled organizations such as IQVIA to innovate in Healthcare with the Human Data Science Cloud. . Business and Technology Forces Shaping Data Product Development.

Generalist 119

Generalist Telecommunication Healthcare Data Science 119

Knowledge Hut

MAY 31, 2023

The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product. The privacy and security of patient data and ensuring that AI algorithms are accurate, dependable, and impartial must be overcome.

Project 96

Project Healthcare Deep Learning Transportation 96

Striim

MARCH 4, 2025

Thats not all: a single vulnerability in MOVEit led to 49 million records being compromisedimpacting government agencies, financial institutions, and healthcare organizations alike, with damages soaring into the billions. Their breach transformed personal customer data into a commodity traded on dark web forums.

Data Governance 40

Data Governance Government Healthcare NoSQL 40

Knowledge Hut

NOVEMBER 7, 2023

Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them. Cloud computing enables enterprises to access massive amounts of organized and unstructured data in order to extract commercial value.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Cloudera

APRIL 20, 2021

Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better. Companies tried processing these data through batch processing but saw workloads run much slower from hours to days.

Kafka 95

Kafka Hospitality Retail Data Ingestion 95

AltexSoft

MAY 12, 2022

In this article, we’ll share what we’ve learnt when creating an AI-based sound recognition solutions for healthcare projects. Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. Audio data file formats. Speech recognition.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

Knowledge Hut

APRIL 26, 2024

Tons and tons of data are being generated each day and organizations have realized the vast potential that this data holds in terms of fueling innovation and predicting market trends and customer preferences. MIMIC Critical Care Database HealthData.gov Human Mortality Database SEER HCUP ML can change the way healthcare is approached.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

Cloudera

DECEMBER 11, 2020

Data security and governance champions – Merck KGaA. Based in Germany, Merck KGaA is one of the leading science and technology companies, operating across healthcare, life science, and performance materials business areas. It established a data governance framework within its enterprise data lake.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Cloudera

SEPTEMBER 12, 2022

Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. And second, for the data that is used, 80% is semi- or unstructured. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse.

Unstructured Data 75

Unstructured Data Data Lake Data Architecture Data 75

Knowledge Hut

JANUARY 18, 2024

The opportunities are endless in this field — you can get a job as an operation analyst, quantitative analyst, IT systems analyst, healthcare data analyst, data analyst consultant, and many more. A Python with Data Science course is a great career investment and will pay off great rewards in the future.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Cloudera

DECEMBER 3, 2020

Customers are leveraging our platform to help with key essential services inside and outside the healthcare industry. A lot of the traditional in-person methods used for gathering data in insurance are now impossible and new ways of capturing data remotely are being implemented. Press Release. .

Insurance 53

Insurance Unstructured Data Healthcare Manufacturing 53

Knowledge Hut

DECEMBER 26, 2023

This highlights the need and importance of data science in the IT industry. One of the essential aspects of Data Science is that its results may be used in every industry, including travel, healthcare, and education. Industries can quickly examine their problems and successfully address them using data science.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

Systems 87

Systems Hadoop Metadata Telecommunication 87

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 59

Data Warehouse Unstructured Data Medical Pharmaceutical 59

DataKitchen

APRIL 13, 2021

Rivery – Automate, manage, and transform data so it can be fed back to stakeholders as meaningful insights. Quobole — Big data-as-a-service company with a cloud-based platform that extracts value from huge volumes of structured and unstructured data. . specializing in healthcare and life science.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis. It focuses on collecting, storing, and processing extensive datasets.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Wayne Yaddow

MARCH 14, 2025

In the case of a transformation step failure or the generation of unexpected results, dbt Core offers comprehensive logging and failure reports, averting the dissemination of erroneous data throughout the pipeline. The following categories of transformations pose significant limitations for dbt Cloud and dbtCore : 1.

Unstructured Data 52

Unstructured Data SQL Data Pipeline Data Validation 52

Monte Carlo

OCTOBER 10, 2024

Let’s dive into the responsibilities, skills, challenges, and potential career paths for an AI Data Quality Analyst today. Table of Contents What Does an AI Data Quality Analyst Do? Handling unstructured data Many AI models are fed large amounts of unstructured data, making data quality management complex.

Unstructured Data 52

Unstructured Data Google Cloud Machine Learning ETL Tools 52

Knowledge Hut

MAY 23, 2024

It involves using various techniques to clean, process, and analyze data to find patterns and insights. Data science can be used to solve problems in a variety of domains, such as business, finance, healthcare, and marketing. It is a combination of data mining, machine learning, and statistical analysis.

Computer Science 98

Computer Science Data Science Java Certification 98

Knowledge Hut

DECEMBER 26, 2023

Analyzing and organizing raw data Raw data is unstructured data consisting of texts, images, audio, and videos such as PDFs and voice transcripts. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

ProjectPro

JANUARY 27, 2023

ETL for IoT - Use ETL to analyze large volumes of data IoT devices generate. Real-World ETL Use Cases and Applications Across Industries This blog discusses the numerous ETL use cases in various industries, including finance, healthcare, and retail.

BI 52

BI ETL Tools Retail Healthcare 52

ProjectPro

FEBRUARY 1, 2018

will more likely be used as a data tiering strategy where data will be stored on cheaper and slower media. Source : [link] 6 Key Future Prospects of Big Data Analytics in Healthcare Market for Forecast Period 2017 - 2026. CRM will remain the go-to tool for big data analytics in healthcare market.

Hadoop 52

Hadoop Food Healthcare Cloud Computing 52

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