Big Data

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

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Machine learning skills for software engineers

You don’t need to be a data scientist to do machine learning, but you do need data skills. Start with these

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Review: Domo is good BI, not great BI

Domo delivers on data sources and visualizations, but is harder to use and overpriced compared to Tableau, Qlik Sense, and Microsoft Power BI

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ONNX makes machine learning models portable, shareable

Microsoft and Facebook's machine learning model format aims to let devs choose frameworks freely and share trained models without hassle

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What is big data? Everything you need to know

Analyzing lots of data is only part pf what makes big data different from previous data analytics. Learn what the other three aspects are

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Users review the top cloud data integration tools

IT Central Station members weigh in on Informatica Cloud Data Integration, Dell Boomi AtomSphere, IBM App Connect, and SnapLogic

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Cloud data warehouse: The technology no one knows about

Amazon Redshift, Google BigQuery, and Microsoft Azure SQL Data Warehouse are cool tools in search of a category

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Letting go: trusting AI to do its thing while humans do theirs

Early adopters of enterprise AI are quickly realizing that part of the unwritten contract between man and machine is that man will surrender control of data-related tasks and decision-making to AI

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What is data mining? How analytics uncovers insights

Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships

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The next big challenge in building the data-driven economy

While connected devices are driving up data production, many businesses are still using outdated file transfer software, such as FTP, to move vast amounts of data between locations

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Vertically challenged: the pace of digital transformation across industries

There is exponentially more data to be managed in digital enterprises today and making sure your organization is equipped to manage that data as a service is crucial

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Responsible retail: treating customer data with care

What retailers now know about their customers is their biggest competitive advantage—as long as they don’t abuse it

13 frameworks for mastering machine learning

13 frameworks for mastering machine learning

Venturing into machine learning? These open source tools do the heavy lifting for you

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How to use Apache Kafka messaging in .Net

Take advantage of the fast and scalable open source message broker to meet high-volume data processing challenges on Windows

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What is machine learning? Software derived from data

Building systems that learn from data is a better way to solve complex problems, given enough meaningful data to learn from

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IBM speeds deep learning by using multiple servers

IBM's Distributed Deep Learning spreads model training across any number of hardware nodes—as long as they’re IBM nodes

Real-world devops failures -- and how to avoid them

How to avoid big data analytics failures

Follow these six best practices to blow past the competition, generate new revenue sources, and better serve customers

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How to use Redis for real-time stream processing

An in-depth guide to overcoming fast data ingestion challenges with Redis Pub/Sub, Redis Lists, and Redis Sorted Sets

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All your streaming data are belong to Kafka

Apache Kafka continues its ascent as attention shifts from lumbering Hadoop and data lakes to real-time streams

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