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Neo4j 4.0 targets scalability, security, and performance

Leading native graph database adds long-awaited horizontal sharding, granular security, and reactive processing

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Interested in machine learning? Better learn PyTorch

Don’t look now, but easy, straightforward PyTorch has become the hottest product in data science

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Deep learning vs. machine learning: Understand the differences

Both machine learning and deep learning discover patterns in data, but involve dramatically different techniques

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Artificial intelligence predictions for 2020

Machine learning applications, tools, techniques, platforms, and standards will see big changes in the next year

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How to choose the right database for your application

From performance to programmability, the right database makes all the difference. Here are 12 key questions to guide your selection

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Rockset review: Real-time SQL for operational data

One-of-a-kind database for operational analytics analyzes gigabytes to terabytes of recent, real-time, and streaming data in milliseconds

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MongoDB vs. MySQL: How to choose

MongoDB and MySQL are the leading open source NoSQL and relational databases, respectively. Which is best for your application?

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Review: Elasticsearch 7 soars with SQL, search optimizations

Across-the-board upgrade beefs up query capabilities, boosts cluster performance, and simplifies cluster configuration

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Is Java the next COBOL?

60 years later, billions of lines of COBOL live on. Could Java, SQL, or Python last as long?

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Deep learning frameworks: PyTorch vs. TensorFlow

If you actually need a deep learning model, PyTorch and TensorFlow are both good choices

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10 Splunk alternatives for log analysis

Splunk may be the most famous way to make sense of mass quantities of log data, but it is far from the only player around

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The best graph databases

These stellar databases combine horizontal scalability with highly efficient engines for storing and analyzing connected data

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The best distributed NoSQL databases

Highly flexible and hugely scalable, NoSQL databases offer a range of data models and consistency options to suit your application

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5 machine learning tools to ease software development

AI-driven development tools that provide code auto-completion, code vulnerability detection, and even cutting-edge code generation

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The best machine learning and deep learning libraries

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models

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10 new tricks your old database can do

You might be surprised by the powerful “NoSQL” features lurking in your old Oracle, SQL Server, MySQL, or PostgreSQL database

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Hadoop runs out of gas

As big data customers flee complexity and embrace the cloud, Hadoop vendors are sputtering

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Machine learning algorithms explained

Machine learning uses algorithms to turn a data set into a predictive model. Which algorithm works best depends on the problem

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