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THE DATA ANALYTICS HANDBOOK

What exactly do the sexy “Data Scientists” do? We start with this simple question. What other professions are there in Big Data? What tools do they use to accomplish their tasks? How can I enter the industry if I don’t have a Ph.D. in Statistics? The genesis of “The Data Analytics Handbook” stems from our own internal frustrations with these questions; as recent graduates of UC Berkeley (Go Bears!) in statistics, we saw a burgeoning industry craving curious minds but disconnected from its potential employees because of a lack of understanding of what the Data Analytics industry is and of what it requires. And so, we set out to discover the answers for ourselves by reaching out to industry leaders, academics, and professionals.

Spotlight

Holmusk

Holmusk is an innovative telehealth platform that uses data (analytics, visualization, prediction, signaling etc.) to tackle chronic diseases and influence positive health outcomes. We bring cutting-edge ideas from Big Data, Behavioural Science & Consumer Technology and put them in the hands of patients (and doctors) to improve adherence and health habits. Current medical treatment is dependent primarily on qualitative and static data. Using dynamic data, the purpose of this platform is to tackle chronic diseases by bringing transparency, analytics and predictability.

OTHER WHITEPAPERS

Data Sharing Marketplaces for Dummies

whitePaper | October 14, 2022

It’s no secret that to fuel data-driven decision-making your business needs exceptional insights. To create them, the right people need fast, easy access to trusted, quality data.

O'Reilly Data Quality Fundamentals

whitePaper | November 18, 2022

For decades, the lack of visibility into the health of our data has led to data downtime in companies around the world. When data is missing, inaccurate, or erroneous, data quality initiatives are doomed to fail, leaving enterprises at a privacy compliance and business disadvantage.

A Review of BioPharma Sponsor Data Sharing Policies and Protection Methodologies

whitePaper | September 12, 2022

This whitepaper examines clinical trial data contribution policies and the data protection methodologies applied to protect patient privacy. Information published by 29 biopharma sponsors was collected across three data-sharing platforms, collated by sponsor size. Results showed that large sponsor contribution policies can provide helpful benchmarks for medium and smaller sponsors.

Logical Data Fabric

whitePaper | December 27, 2022

In this whitepaper we will define “data fabric,” look at different implementation strategies, and highlight the value of a logical approach. The paper will delve more deeply into the technical architecture of a logical data fabric and the key components to build a successful one, including the role played by artificial intelligence (AI) and data virtualization.

The Future of Unstructured Data Processing

whitePaper | July 25, 2022

Experts estimate that the average person generates more than 1.7 MB of digital data per second, amounting to over 2.5 quintillion bytes per day. However, as the world becomes increasingly digitized and networked, experts predict that, on average, people will produce 463 exabytes of data per day by 2025.

Fault-Tolerant Components on AWS

whitePaper | November 15, 2019

Fault-tolerance is the ability for a system to remain in operation even if some of the components used to build the system fail. Even with very conservative assumptions, a busy e-commerce site may lose thousands of dollars for every minute it is unavailable. This is just one reason why businesses and organizations strive to develop software systems that can survive faults. Amazon Web Services (AWS) provides a platform that is ideally suited for building fault-tolerant software systems. The AWS platform enables you to build fault-tolerant systems that operate with a minimal amount of human interaction and up-front financial investment.

THE DATA ANALYTICS HANDBOOK