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Everything about Big data
Extremely large or complex datasets
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries (rows) offers greater statistical power, while data with higher complexity may lead to a higher false discovery rate. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Big dataA 5-minute orientation
- Skim a recent paper: TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data miningInfluential work since 2022
- Pick up a classic book: Invisible WomenThe most-reprinted book on the subject
- Read the landmark paper: TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological DataCited 12,924 times
- Go sideways: AnalyticsA closely related topic
- Go sideways: Data scienceA closely related topic
📖 Definitions
Noun Data on a very large scale, such that it can only be gathered or processed with computers, especially with reference to its potential to allow for new breakthroughs or understanding in a particular field of study.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data
Big Data, Big Knowledge: Big Data for Personalized Healthcare
Big data, big risks
Chinese Social Media and Big Data: Big Data, Big Brother, Big Profit?
Big data, Big bang?
Big Data
Big data: More than big data sets
Big Data, Big Noise
🆕 Influential since 2022
TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data mining
K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data
Big Data Seismology
How big is big data?
How Big Data and Big Data Analytics Mediate Organizational Risk Management
📚 Books worth reading
Invisible WomenCaroline Criado Perez · 2019
Weapons of Math DestructionCathy O'Neil · 2016
PsychopoliticsByung-Chul Han · 2014
The Age of Surveillance CapitalismShoshana Zuboff · 2018
Data Science HandbookField Cady · 2017
DataclysmChristian Rudder · 2014
Big data analytics for beginnersFaraz Rabbani · 2014
Designing Software ArchitecturesHumberto Cervantes, Rick Kazman · 2016
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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