Looker Accelerates and Simplifies Data Science Workflows

WIRE)--Looker, a leading data platform company, today announced tools and integrations that optimize data science workflows. Looker accelerates the data science stack by removing the struggle to prepare data and freeing up time for data scientists to use their unique skill set to perform higher-value tasks. Looker already delivers reliable, governed data, at scale, for data scientists to input into their models and then present the insights in understandable and actionable dashboards and reports. Now, Looker has further improved this workflow with an SDK for R and connections for Python, as well as streamed and merged results, Google TensorFlow integrations, and clean, visual recommendations for users. Looker also continues to partner with best-of-breed data science vendors to provide more seamless workflow integration.