Discover practical strategies to build a robust real estate data infrastructure from OSCRE Innovation Forum experts at Proxet, AWS, and OSCRE.
See how Power BI transforms real estate investment analytics—manage large datasets, reveal gaps, and build interactive visuals to save time and money.
Unlock organizational agility with modern data platforms—learn how cloud computing and advanced technologies streamline analytics and decision-making.
Discover a step-by-step framework to build a modern data stack—cover build vs buy, open-source tools, common pitfalls, and tips from Proxet’s CTO.
Build a modern data stack by following best practices from data engineering experts. Learn about data maturity, data stack components, and how to build.
Data warehouses have emerged as a viable solution for collecting, analyzing, and leveraging data. Find out if your organization needs a data warehouse.
Take an in-depth look at data platforms, why your business might need one, and tips for making an informed technology decision.
What are data lake platforms and how did they come about? What are the components of a cloud data lake? Find out in this article covering the basics!
AWS Datalake is one of the best known solutions for handling vast amounts of varied data. We look at the data lake and its architecture.
Should I build a data lake? What are the benefits and challenges of data lakes?
Electronic medical records processing, compared to paper-based systems, is much more convenient—but it also brings about another huge advantage.
Healthcare and data lake can go hand-in-hand to save lives, and this is how the healthcare industry has been utilizing the technology.
Master Keras seq2seq learning—train models to translate sequences across domains with step-by-step guidance. Read our blog to dive deeper.
Leverage e-commerce big data to drive smart decisions and attract customers—explore the latest trends and strategies in our blog post.
Discover how to scrape websites using Python—explore top libraries and tools to efficiently harvest and process web data.
Explore how EMR software centralizes communication, tracks performance, and streamlines healthcare workflows. Learn more in our blog post.
Understand GDPR’s impact on data engineering, privacy, and governance—explore key challenges and solutions in our comprehensive guide.
Data engineering is becoming more varied and more intricate in the post-COVID world. Read here for the latest on data engineering.
Dive into data fusion—explore methods for merging diverse sources at low, intermediate, and high abstraction to drive actionable insights.
Discover statistical NLP—learn how it drives results in healthcare, media, finance, and HR, and explore methods for analyzing unstructured data.
Boost sales and forecasts with retail data analysis using Pandas—learn how to optimize your ecommerce workflow in our blog post.
E-commerce customer analytics is helping sellers to get to know their customers and implement effective campaigns! Learn how to get started here.
Learn how data risk patterns in medicine aid hypothesis building and disease risk analysis. Explore key data mining techniques in our article.
Real-time data benefits speak for themselves, but that doesn’t mean it's easy to implement, or right for every organization.
How is Big Data driving the future of healthcare? This overview covers the state of Big Data Research in Medicine in 2021
Discover how hospital tracking systems optimize workflows, increase bed turnover, and improve patient care. Learn how it works in our guide.
Learn how to tackle pharmacy delivery challenges and implement solutions that streamline operations and boost customer satisfaction.
In this article, we will discuss software that can provide the highest clinical data protection level and provide patient data-sensitive solutions.
In this article, we'll go over how to do voice analysis with Python, what Python libraries you can use, and what deep learning audio is.
In this article, we'll review openEHR and FHIR, their management and storage for health data in 2021.
A detailed article about Python graphing and plotting: what data visualization library should you choose for your project?
Big data for better health: clinic data structure, how a medical institution can benefit from a database management system.
Triage analytics in healthcare. In what way do big data analytics help with claims segmentation and triage in the medical industry.
Welcome to big data in medicine guide. In this article we will explore the role of data analytics in healthcare and its potential for healthcare.
Explore clinical variant analysis in cancer: powerful tools, deep data, and how precision insights fight deadly diseases.
Discover the power of genomic analytics and learn how genetic data tools drive breakthroughs in research and patient care. Read on!
Compare cloud-based architectures—AWS vs. cloud-agnostic big data analytics—to discover the best fit for your business.
Compare Microsoft Azure vs. Amazon AWS for enterprise data analytics—stacks, tools, and business impact.
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