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eBooks - Big Data
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Alteryx Designer: The Definitive Guide (2023)
by
Joshua Burkhow
Analytics projects are frequently long, drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and business analysts can deliver results in hours instead of weeks.
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The Big Data Agenda (2018)
by
Annika Richterich
This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis.
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Big Data in Context (2018)
by
Thomas Hoeren, Barbara Kolany-Raiser
This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other.
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Consumer Data Research (2018)
by
James Cheshire, Paul Longley, Alex Singleton
Big Data collected by customer-facing organisations – such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart energy meter readings – account for most of the data collected about citizens today. As a result, they are transforming the practice of social science.
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Digital Objects, Digital Subjects (2019)
by
David Chandler (Editor); Christian Fuchs (Editor)
This volume explores activism, research and critique in the age of digital subjects and objects and Big Data capitalism after a digital turn said to have radically transformed our political futures. Optimists assert that the 'digital' promises: new forms of community and ways of knowing and sensing, innovation, participatory culture, networked activism, and distributed democracy.
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Essential Math for AI (2023)
by
Hala Nelson
Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.
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Machine Learning for High-Risk Applications (2023)
by
Patrick Hall, James Curtis, Parul Pandey
The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks.
Metasearch
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Data Commons
The Data Commons provides services to manage, organize, preserve, publish, discover, and reuse data. You can browse Community Released Data and data curated by CyVerse.
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Enigma Public Data
The world's broadest collection of public data curated into a single searchable, explorable web portal and API.
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European Commission - Global Human Settlement
GHSL - Global Human Settlement Layer
A new open and free tool for assessing the human presence on the planet.
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GitHub
Topic-centric Public datasets.
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Google Dataset Search
Google Dataset Search, launched in 2018, is a search engine from Google that helps researchers locate online data that is freely available for use.
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Open Data Network
Features: Publish data and share. Find data and build. Answer questions.
Free Tutorials
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Coursera - Top Big Data Free Courses
Take courses from the world's best instructors and universities. Courses include recorded auto-graded and peer-reviewed assignments, video lectures, and community discussion forums.
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Lynda.com from LinkedIn - Big Data Training and Tutorials (1 month free)
What is big data? It's a phrase used to quantify data sets that are so large and complex that they become difficult to exchange, secure, and analyze with typical tools. These courses on big data show you how to solve these problems, and many more, with leading IT tools and techniques.
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Python - For Beginners
Are you completely new to programming? If not then we presume you will be looking for information about why and how to get started with Python. Fortunately an experienced programmer in any programming language (whatever it may be) can pick up Python very quickly. It's also easy for beginners to use and learn, so jump in!
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Tutorialspoint - Big Data Analytics Tutorial
In this tutorial, we will discuss the most fundamental concepts and methods of Big Data Analytics. It has been prepared for software professionals aspiring to learn the basics of Big Data Analytics.
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Udemy - Big Data and Hadoop Essentilas
Features: Understanding of Big Data problems. History and advent of Hadoop and Hadoop Magic. Understanding the difference between Data science and data engineering. Demystifying Hadoop vendors like Cloudera, MapR and Hortonworks.
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Udemy - R Basics - R Programming Language Introduction
You will learn how to navigate in the RStudio interface, make basic graphs, about the basic structure of R including packages, how to perform basic commands in the R programming language, how to handle add on packages, how to use the R help tools and generally how to find your way in the R world.
Online videos
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Adam Hirsch Discusses Big Data And Personalization (2015)
"Extending on that. I mean, it's about personalization, right? And the hardest part about personalization on an individual level is how much data is actually out there. So I, you know, knowing some of the process, you obviously have to test manually some of these theories of personalization." - Adam Hirsch, taken from the video
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Big Data (c. 2014) 3:13
We produce nearly 2.5 million terabytes of data per day. Directors Pina and Jakob want to find out if our entire lives have become computable. They will allow computer experts from the Fraunhofer Institute full access to their smartphone data to see if they can predict their future behavior.
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The Crowd & The Cloud: Episode 1—Even Big Data Starts Small (2017)
Citizen Science. 20,000 volunteers across the U.S. measure precipitation: when extreme weather hits, emergency managers turn their data into life-saving alerts. Armchair mappers worldwide update information used by first responders after the Nepal earthquake. A new project, EyesOnALZ, enlists the crowd to speed up research on Alzheimer’s disease. DIY enthusiasts from Public Lab map the BP oil spill with kites, balloons and cameras and continue to watchdog pollution.
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Linda Benowitz Discusses big Data Concerns (c. 2015) 2:50
Banks have models that really look at your payment transactions and can see when a transaction deviates from your normal pattern. So that's something we've always done. This is Big Data
Websites
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Big Data Analytics
Leverage the most effective big data technology to analyze the growing volume, velocity and variety of data for the greatest insights.
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SAS - Big Data & IoT Insights
Expert insights into big data, Internet of Things, and beyond.