IBM introduces data science system for integrated analytics

IBM launched a unified data system, called the "Integrated Analytics System," the company announced Sept. 26.

The goal of the analytics system is to improve user access to data science capabilities on private, public and hybrid cloud environments. The system is built with the IBM common Structured Query Language engine, a standardized computer language for databases, which enables users to integrate their system with cloud-based warehouse solutions.

The Integrated Analytics System also embeds a variety of built-in data science tools, such as Data Science Experience, which provides users with methods to streamline the development of analytics models for intelligent applications. Another tool, Apache Spark, provides an open-source framework that enables in-memory data processing for analytics applications.

With the Integrated Analytics System, data scientists will be able to develop and deploy advanced analytics models for actionable insights more quickly, according to IBM officials. "[The] announcement is a continuation of our aggressive strategy to make data science and machine learning more accessible than ever before," said Rob Thomas, general manager of IBM Analytics.

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