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Teradata Expands Data Science Collaboration Capabilities

Cloud data analytics specialist Teradata has released collaborative features to its Vantage platform designed to reduce the friction between data scientists, business analysts, data engineers and business managers – some of whom may use different tools and languages.

Enhancements include expanded native support for R and Python, with the ability to call more Vantage-native analytic functions and to execute a range of open-source analytic algorithms/packages; automatic generation of SQL from R and Python code, helping data scientists and business analysts to collaborate on operationalizing insights; and added support for JupyterHub for Python, R and SQL, in addition to existing support for the JupyterLab and RStudio development environments.

Vantage’s new data science support capabilities are designed to for “end-to-end data science workflows on a single, scalable, reliable and secure platform, without the need to create data silos or sample data,” Teradata said in its announcement. “This enables a wide range of personas to collaboratively run complex analytics in a self-service manner, on one platform and with the same data, ensuring efficient operationalization.”

The features are free to Teradata customers and automatically available now, except for the Analytics Library, which will be available in late Q4 2020. They support the company’s Analytics 1-2-3 strategy, “that organizations can only successfully scale their machine learning and AI initiatives by engaging in rapid experimentation and agile model building by using curated features with high predictive value.”

“As businesses increasingly rely on virtual connectivity to keep operations running, collaboration has emerged as the key success factor for many functions, especially analytics,” said Sri Raghavan, director of data science and advanced analytics product marketing at Teradata. “With greater functionality and expanded support for data science to help analytics users better communicate and collaborate, Vantage helps remove friction from the data science process so customers can derive mission-critical insights at record speed and scale. And given the broad deployment options for Vantage – public clouds, including AWS, Azure, and Google Cloud Platform later this year, as well as hybrid and multi-cloud – customers are given the flexibility to leverage the platform’s enhanced data science capabilities in the environment of their choice.”

In addition to increased collaboration, Teradata said the new capabilities will cut waste by reducing false starts, inappropriate analytic usage, lock-in to one form of implementation (e.g., on-premises versus cloud), while accelerating iterations. Vantage’s support for data governance and security also ensures freeform collaboration, without the downside risks of unauthorized access and performance bottlenecks, according to the company.

source: Teradata

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