Challenging Web Scale Graph Analytics with Apache Spark - Xiangrui Meng
690 views · Published 12 June 2017 · 33:09 · Indexed 12 November 2026
Channel: Databricks · 2017 · Science & Technology
Graph analytics has a wide range of applications, from information propagation and network flow optimization to fraud and anomaly detection. The rise of social networks and the Internet of Things has given us complex web-scale graphs with billions of vertices and edges. However, in order to extract the hidden gems within those graphs, you need tools to analyze the graphs easily and efficiently. 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
More from this channel
-
28:25
Riot Games: Improving the Gaming Experience With Apache Spark
-
10:06
Big Data Meets Learning Science
-
29:07
Dependency injection in Apache Spark Applications by Shu Das and Sandeep Prabhakar
-
10:55
#SparkSummit 2017 Structured Streaming Demo - Michael Armbrust
-
15:27
Combating Abusive Language in Chat with Apache Spark - Wes Kerr
-
30:18
Yelp Ad Targeting at Scale with Apache Spark - Inaz Alaei-Novin and Joe Malicki
-
37:42
Scaling Data Science Capabilities with Apache Spark at Stitch Fix - Derek Bennett
-
30:08
Rental Cars and Industrialized Learning to Rank - Sean Downes