Social Media, Spark, Machine Learning, and Data Visualization to Find Patterns and Insight
1,362 views · Published 12 June 2017 · 27:41 · Indexed 27 September 2026
Channel: Databricks · 2017 · Science & Technology
How can humanitarian aid field experts use social media to gain insight, understand trends and track key humanitarian issues? What can social media tell us that firsthand data can’t? How can social media alert experts to identify emerging trends that could have a profound impact? These are some of the questions that Microsoft and the United Nations set out to investigate and understand when they started working together on Project Fortis. What they learned was that by using advanced machine learning techniques, Apache Spark, GraphQL, React, integrated social media with a range of public and privately available data, and applying powerful data visualization techniques, they could indeed provide deeper insight and awareness to humanitarian disasters such as refugee displacement, terrorist attacks, disease outbreaks, famine, etc. From that, Project Forti. With Erik Schlegel. About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: https://databricks.com/product/unified-data-analytics-platform Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner
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