Abstract: The goal of this project is to demostrate the use of PySpark and Spark SQL to query and analyze the Yelp Open Dataset. Specifically, the aim is to analyze the Yelp Reviews dataset, which ...

Snowflake is launching a client connector to run Apache Spark code directly in its cloud warehouse - no cluster setup required. This is designed to avoid provisioning and maintaining a cluster running ...

The Storage API streams data in parallel directly from BigQuery via gRPC without using Google Cloud Storage as an intermediary. It has a number of advantages over using the previous export-based read ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

Apache Spark is a mature and stable project that has been under continuous development for many years. It is one of the most widely used frameworks for scaling out the processing of petabyte-scale ...

Abstract: Data skipping reduces I/O for SQL queries by skipping over irrelevant data objects (files) based on their metadata. We extend this notion by allowing developers to define their own data s ...