Free Big Data Books & Tutorials. Read online or download these free Big Data eBooks, lecture notes & tutorials.
37 results - showing 1 - 10
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Data Mining in Medical and Biological Research (Eugenia G. Giannopoulou)
 
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The goal of this free programming book is to compile the most recent developments and uses of data mining research from around the globe in the exciting fields of medicine and biology. ...
The Biostar Handbook (Dr. Istvan Albert)
 
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The scientific field of bioinformatics, which combines biology, computer science, and statistical data analytics, is explained to readers in this useful book. Bioinformatics is concerned with the digital processing of genomic data. ...
Planning for Big Data: A CIO's Handbook to the Changing Data Landscape (Edd Dumbill)
 
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This free programming book offers a useful, approachable "brief" on the state of Big Data analytics today and how you may profitably use this technology to boost your company's profitability. 
Big Data Now: Current Perspectives from O'Reilly Radar (O'Reilly Radar Team)
 
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This free programming book summarizes the report's findings on trends, techniques, applications, and predictions. 
Designing Event-Driven Systems: Concepts and Patterns for Streaming Services with Apache Kafka (Ben Stopford)
 
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In Concepts and Patterns for Streaming Services with Apache Kafka, the author discusses how you may create mission-critical systems using service-based architectures and stream processing tools like Apache Kafka. 
Engineering Agile Big-Data Systems (Kevin Feeney, et al)
 
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This free programming book describes a way for coordinating these procedures over the course of product lifecycles in order to address these issues in software and data engineering. It covers techniques that can be used to accomplish these goals...
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale (Gwen Shapira, et al)
 
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Whether it's log messages, metrics, user activity, or outgoing messages, every corporate application generates data. The act of moving the data is just as crucial as the data itself.
The Data Engineer's Guide to Apache Spark (Databricks)
 
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This book is intended for data engineers who want to create faster and more dependable data pipelines by taking advantage of Apache Spark's phenomenal growth.
The Big Data Agenda: Data Ethics and Critical Data Studies (Annika Richterich)
 
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This book makes clear that there are serious ethical concerns raised by the ability to collect, analyze, and use enormous amounts of digital (user) data.
High-Performance Modelling and Simulation for Big Data Applications (Joanna Kolodziej, et al)
 
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Modeling and Simulation, which have historically been seen as crucial pillars of the scientific method, have developed from simple discrete numerical techniques to sophisticated continuous analytical optimizations that require a lot of data.
37 results - showing 1 - 10
1 2 3 4