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The Ethics Of Big Data: Facebook and Cambridge Analytica Are Writing New Case Studies For Us All

CTOvision

The term “Big Data” has been around quite a while (see a short history of Big Data here), but really came into mainstream discussion in 2007 (which also happens to be the first year CTOvision used the word). The phrase had an important role in helping many of us think through new architectures for how […].

Big Data 105
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Data analytics: your complete guide to big data consulting

Agile Engine

What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10. Case study: leveraging AgileEngine as a data solutions vendor 11.

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What you don’t know about data management could kill your business

CIO

But at the other end of the attention spectrum is data management, which all too frequently is perceived as being boring, tedious, the work of clerks and admins, and ridiculously expensive. Still, to truly create lasting value with data, organizations must develop data management mastery. And here is the gotcha piece about data.

Data 274
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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Deep Learning.

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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

In an effort to avoid the pitfalls that come with monolithic applications, Microservices aim to break your architecture into loosely-coupled components (or, services) that are easier to update independently, improve, scale and manage. Key Features of Microservices Architecture. Each service is known to have its own view on data models.

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O’Reilly’s top 20 live online training courses of 2020

O'Reilly Media - Ideas

And individual O’Reilly members are looking to build and expand on their technical skills in everything from software architecture and microservices to AI and programming languages. But which topics are the brightest minds in technology most focused on? Top 20 live online training courses of 2020.

Course 104
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Data Gravity in Cloud Networks: Distributed Gravity and Network Observability

Kentik

So far in this series , I’ve outlined how a scaling enterprise’s accumulation of data (data gravity) struggles against three consistent forces: cost, performance, and reliability. As datasets scale and networks become distributed to free their data, the data gravity story begins to morph into a data complexity story.

Network 99