Matei Zaharia, Apache Spark co-creator and Databricks CTO, talks about adoption patterns, data engineering and data science, using and extending standards, and the next wave of innovation in ...

Developed in response to perceived issues with the performance of Hadoop MapReduce clusters, Apache Spark is an open source cluster computing framework that is able to run big data analytics up to 10 ...

Get an overview of threadless, multithreaded, and distributed aggregation using the Streams API, Java threads, and MapReduce, then see for yourself what Spark's cluster computing engine brings to ...

Join the Drexel Women in Computing Society (WiCS) and Databricks for an introductory talk about Apache Spark and MLFlow. Apache Spark is a powerful unified analytics engine for large-scale distributed ...

It’s an open source, distributed, deep learning framework for Apache Spark*. The BigDL library sits on top of Spark. It allows easy scale-out computing so that users can develop deep learning ...

The course enables students to learn about the principles and gain hands-on experience in working with the state of the art computing technologies such as Apache Spark, a general engine for ...

Databricks was founded by the original creators of Apache Spark, an open-source distributed cluster-computing framework built atop Scala. Databricks grew out of the AMPLab project at the ...