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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?

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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

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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

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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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