Big Data

Big Data | News, how-tos, features, reviews, and videos

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What is TensorFlow? The machine learning library explained

TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning faster and easier

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How will data intelligence transform the enterprise?

Traditional business methods aren’t enough to help businesses stay competitive in today’s data-driven world. Data science outperforms these outdated methods, especially in certain key areas

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How Arcadia Data brings self-service BI to the data lake

The data lake is a new approach to data management that requires a new approach to analytics

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Tales of eTail West, big data, and e-commerce success—or failure

The Retail Death Star (a euphemism for whoever you think it is) has such a glowing reputation for its acumen with data that other companies clamor to know how the Death Star does it. Personal experience suggests myth does not match...

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Big data + AI: Context, trust, and other key secrets to success

Machine learning can supercharge data analysis and spur innovation, but it lacks the business context to make optimal decisions every time

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Review: Amazon SageMaker scales deep learning

AWS machine learning service offers easy scalability for training and inference, includes a good set of algorithms, and supports any others you supply

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The era of the cloud database has finally begun

Enterprises are waking up to discover that their database needs have changed dramatically—and that the old-school RDBMS is no longer the best tool

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6 hidden bottlenecks in cloud data migration

From navigating cloud storage options to verifying the data post-transfer, follow these steps to avoid the hazards of cloud migration

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3 requirements of modern archive for massive unstructured data

As the nature and scale of enterprise data changes, secondary storage—especially archive—becomes a huge opportunity to add value to organizational data

App dev trends going hot -- and cold

21 hot programming trends—and 21 going cold

Hot or not? From the web to the motherboard to the training ground, get the scoop on what’s in and what’s out in app dev

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Why data democratization is crucial to your business

Data democratization will catapult companies to new heights of performance—if done right

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Google Cloud tutorial: Get started with Google Cloud

From virtual machines and Kubernetes clusters to serverless functions and machine learning APIs — how to navigate Google’s cloud riches

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Data governance 2.0

Part 1 of a conversation with Jason Fishbain, chief data officer, University of Wisconsin at Madison

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3 tips for a successful data strategy

Most modern businesses will survive only if they use data to acquire and retain customers, and if they use data to automate their supply chain or protect their valuable assets

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Stateful stream processing with Apache Flink

Apache Flink is made for applications that continuously apply the same business logic to a series of inputs. That’s most business applications

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Real-time data pipelines: pairing message queues and databases

Data leaders need to stay on top of the technologies of message queues and databases

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How to choose the right data-integration tools

For data integration, pipelining, and wrangling data: Here are the seven types of tools you should build your data tool set from

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What is a graph database? A better way to store connected data

Learn why graph databases excel at exploring highly connected data, and how to leverage them in your organization

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What’s new in Apache Spark? Low-latency streaming and Kubernetes

Continuous processing and native Kubernetes support in Apache Spark 2.3 spell the end for micro-batching and Hadoop

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Helping your workforce become data-literate

How to start building a data-literate organization without extensive training

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