Tag: Apache Spark
Uber Case Study: Choosing the Right HDFS File Format for Your Apache Spark...
Uber's Maps Collection and Reporting (MapCARs) team shares best practices when choosing which HDFS file formats are optimal for use with Apache Spark.
Peloton: Uber’s Unified Resource Scheduler for Diverse Cluster Workloads
Uber developed Peloton to help us balance resource use, elastically share resources, and plan for future capacity needs.
Uber’s Big Data Platform: 100+ Petabytes with Minute Latency
Responsible for cleaning, storing, and serving over 100 petabytes of analytical data, Uber's Hadoop platform ensures data reliability, scalability, and ease-of-use with minimal latency.
