Big Data

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A Coding Guide to Build a Complete Single Cell RNA Sequencing Analysis Pipeline Using Scanpy for Clustering Visualization and Cell Type Annotation

ai, AI (Artificial Intelligence), Artificial Intelligence, Big Data, Data Science, Editors Pick, Technology, Tutorials

In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the required libraries and loading the PBMC 3k dataset, then perform quality control, filtering, and normalization to prepare the data for downstream analysis. We then identify highly variable genes, perform PCA for dimensionality reduction, and construct […]

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Beyond Accuracy: Quantifying the Production Fragility Caused by Excessive, Redundant, and Low-Signal Features in Regression

ai, AI (Artificial Intelligence), Artificial Intelligence, Big Data, Data Science, Editors Pick, Staff, Technology, Tutorials

At first glance, adding more features to a model seems like an obvious way to improve performance. If a model can learn from more information, it should be able to make better predictions. In practice, however, this instinct often introduces hidden structural risks. Every additional feature creates another dependency on upstream data pipelines, external systems,

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How to Build an Advanced, Interactive Exploratory Data Analysis Workflow Using PyGWalker and Feature-Engineered Data

ai, AI (Artificial Intelligence), Artificial Intelligence, Big Data, Data Labeling, Data Science, Dataset, Editors Pick, Technology, Tutorials

In this tutorial, we demonstrate how to move beyond static, code-heavy charts and build a genuinely interactive exploratory data analysis workflow directly using PyGWalker. We start by preparing the Titanic dataset for large-scale interactive querying. These analysis-ready engineered features reveal the underlying structure of the data while enabling both detailed row-level exploration and high-level aggregated

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How to Build Portable, In-Database Feature Engineering Pipelines with Ibis Using Lazy Python APIs and DuckDB Execution

ai, AI (Artificial Intelligence), Artificial Intelligence, Big Data, Databases, Editors Pick, Machine Learning, Staff, Tech News, Technology, Tutorials

In this tutorial, we demonstrate how we use Ibis to build a portable, in-database feature engineering pipeline that looks and feels like Pandas but executes entirely inside the database. We show how we connect to DuckDB, register data safely inside the backend, and define complex transformations using window functions and aggregations without ever pulling raw

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The #COVID19 Driver’s Seat

AI for the enterprise, Artificial Intelligence, Behavioral Economics, Behavioral psychology, Big Data, Cognitive science, Complex Systems, complexity science, computational neuroscience, COVID-19, Data Science, Decision Analysis, decision intelligence, design thinking, Econometrics, Economics, epidemiology, Finance, human capital management, Intelligence Amplification (aka Intelligence Augmentation) (IA), Knowledge Management, Machine Learning, operations research, Predictive Analytics, prius, Risk Analysis, Simulation, Statistics, toyota, Wicked Problems

I caught COVID19 in March, a few weeks after breaking my arm badly enough to need surgery.  I made it through, but along the way, and with the perspective afforded by a lot of time on the couch and away from the day-to-day business of Quantellia, I became galvanized to do something about other COVID

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How AI-Driven Mobility Data Is Transforming Urban Transportation in 2025

AI Tools, analytic models, Analytics, Artificial Intelligence, Big Data, ChatGPT, Cloud Computing, digital transformation, Generative AI, Internet of things, Machine Learning, Predictive Analytics, Real-Time Analytics

Rent a car dubai services are increasingly relying on advanced data analytics and AI-powered systems to optimize urban mobility and improve transportation efficiency in fast-growing cities like Dubai. As the mobility sector evolves, data has become the foundation for real-time decision-making, fleet management, route optimization, and customer experience personalization. What once required manual coordination is

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How Data Engineering Services Are Reshaping Global Business Strategies

AI Tools, Analytics, Artificial Intelligence, Big Data, Big Data Analytics, big data services, big data use cases, Business News, ChatGPT, Cloud Computing, Data Engineering, Generative AI, Investments, Machine Learning, Predictive Analytics, Startups

TL;DR Data engineering services have evolved into a critical pillar of enterprise strategy. They empower businesses to manage massive datasets, optimize decisions, and uncover hidden insights. In 2025, companies that leverage big data engineering services are achieving faster innovation, stronger operational efficiency, and a data-driven edge over their competitors. Introduction The world runs on data

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Mining Government Gold: Big Data Opportunities in the $68 Billion Unclaimed Property Market

Analytics, Artificial Intelligence, Big Data, Big Data Analytics, big data services, Finance, Fintech, Machine Learning, Predictive Analytics

Market Opportunity Analysis Across the public sector, few data troves are as large and underutilized as unclaimed property records. In aggregate, the United States maintains $68+ billion in dormant assets scattered across 50+ state treasuries, quasi-government offices, and affiliated custodians. The result is a sprawling constellation of searchable ledgers: owner names, last-known addresses, financial institutions,

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Harnessing Big Data to Navigate the Complex World of Home Financing

Artificial Intelligence, Big Data, Big Data Analytics, big data services, big data use cases, Blockchain, Blockchain technology, Finance, Fintech, Internet of things, Machine Learning, Predictive Analytics, Real-Time Analytics

In today’s fast-paced digital era, big data analytics is revolutionizing industries far beyond tech and marketing. One area where its impact is increasingly felt is in the realm of personal finance, particularly when it comes to securing a home. The process of obtaining financing for a property has traditionally been fraught with complexity, uncertainty, and

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Top 5 Data Platform Development Companies Across the World

Analytics, Artificial Intelligence, Big Data, Big Data Analytics, ChatGPT, Cloud Computing, cloud databases, Data Science, Database, Hadoop, marketing analytics, Predictive Analytics, Real-Time Analytics, Web Analytics

In a world increasingly driven by data, organizations must rely on robust, scalable, and secure platforms that underpin analytics, AI, and operational intelligence. Developing such platforms requires deep expertise in data engineering, modern cloud architectures, integration, API design, and domain-specific compliance. As a result, many businesses partner with specialized data platform development firms to build

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