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What is big data analytics? Fast answers from diverse data sets

Analyzing large volumes of data is only part of what makes big data analytics different from traditional data analytics

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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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What’s next for the cloud data warehouse

Global data-driven decision-making requires a cloud-agnostic, unified data management platform that crosses regions, continents, and cloud providers

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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?


A2ML project automates AutoML

Common Python API for cloud-based AutoML services would allow data scientists to train their data sets against multiple AutoML models

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The best open source software of 2019

InfoWorld recognizes the leading open source projects for software development, cloud computing, data analytics, and machine learning

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Data integration platforms every developer should understand

Knowing the new data practices and machine learning technologies is vital for software developers to create business value


TigerGraph launches graph database as a service

TigerGraph’s native parallel graph database designed for multi-hop analytic queries is now available as a managed service

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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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AI gets real (sort of) in the enterprise

Turns out AI isn’t magic pixie dust to sprinkle over legacy processes and legacy tech, but a fundamental rethinking of how to do business

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Artificial intelligence today: What’s hype and what’s real?

Two decades into the AI revolution, deep learning is becoming a standard part of the analytics toolkit. Here’s what it means

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Snowflake review: A data warehouse made better in the cloud

A fast, no-fuss data warehouse as a service, Snowflake scales dynamically to give you the performance you need exactly when you need it

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Get API data with R

No R package for the API you want? It’s easy to write your own function with the httr and jsonlite packages.

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Semi-supervised learning explained

Using a machine learning model’s own predictions on unlabeled data to add to the labeled data set sometimes improves accuracy, but not always

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How Qubole addresses Apache Spark challenges

The Qubole Data Platform brings streamlined configuration, auto-scaling, cost management, and performance optimizations to Spark-as-a-service

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IBM Trusted AI toolkits for Python combat AI bias

IBM has released Python toolkits for identifying and mitigating against bias in training data and machine learning models

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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


Machine learning operations don’t belong with cloudops

Giving systems enabled with machine learning to the cloud operations team to manage is not only a mistake, it’s dangerous

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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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Automated machine learning or AutoML explained

AutoML frameworks and services eliminate the need for skilled data scientists to build machine learning and deep learning models

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