Big Data

Big Data news, analysis, research, how-to, opinion, and video.

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Bringing embedded analytics into the 21st century

Embedding analytics has become an increasingly common way to monetize data and develop new product lines. But most of the tools available to embed analytics aren't up to the needs of today's developers. Here are 10 considerations...

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6 reasons stores can't give you real-time offers (yet)

Retailers collect tons of data about you and what you like, but don't expect brick-and-mortar stores to provide 'special offers' based on that data soon

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IBM sets up a machine learning pipeline for z/OS

z System users with data behind their firewalls can now access IBM's training and deployment system for machine learning, packaged for convenience

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Hadoop finds a happier home in the cloud

All the excitement about big data and the Hadoop ecosystem -- yet so few enterprise initiatives panned out. Lifting the ecosystem to the cloud changes everything

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Yahoo makes TensorFlow and Spark better together

Open source project that merges deep learning and big data frameworks is said to operate more efficiently at scale and require little change to existing Spark apps

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Automate the business intelligence pipeline

How Tamr combines machine learning with a human-guided workflow to clean, consolidate, and curate enterprise data for decision makers

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Big data, IoT, and security are hot IT careers for 2017

Full-stack developers,and VR/AR round out the list, says Randstad USA -- but let's not forget about machine learning and AI

What is deep learning really?

What deep learning really means

GPUs in the cloud put the predictive power of deep neural networks within reach of every developer

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HPE acquires security startup Niara to boost its ClearPass portfolio

Niara’s software helps enterprises detect and protect from threats that have penetrated perimeter defenses

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New big data tools for machine learning spring from home of Spark and Mesos

RISELab, the successor to UC Berkeley's AMPLab, also has projects for predictive analytics, security, and context management for data lakes

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Review: The best frameworks for machine learning and deep learning

TensorFlow, Spark MLlib, Scikit-learn, MXNet, Microsoft Cognitive Toolkit, and Caffe do the math

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SAP adds new enterprise information management

Aiming to help organizations better manage, govern and strategically use and control their data assets, SAP has updated its EIM portfolio

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Hadoop vendors make a jumble of security

That's both good and bad news, as big data security management is tough with the current lack of standardization

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Apache Eagle keeps an eye on big data usage

This Apache Software Foundation project uses machine intelligence to probe, alert, and report back on behaviors of Hadoop users and clusters

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Getting off the data treadmill

Companies too often think that getting value from data is all about the latest buzzwords: big data, machine learning, real-time. Turns out it's much simpler than that

InfoWorld Technology of the Year 2017

InfoWorld's 2017 Technology of the Year Award winners

InfoWorld editors and reviewers pick the year's best hardware, software, development tools, and cloud services

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Tap the power of graph databases with IBM Graph

A graph database can help you discover connections in your data you never imagined; here’s how to get started

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Review: Scikit-learn shines for simpler machine learning

Well-tended Python framework offers wide selection of robust algorithms, but no deep learning

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