dmatrix
Re:Spark Summit Is Becoming the Spark and AI Summit
on Monday December 18, 2017 @02:06PM (#15954361)
We do have dedicated categories for Machine Learning. I would like to think that Spark ML subsumes those workloads, and using Spark ML, one builds machine learning applications.
Inasmuch as its broadness, we wanted to expand the summit to include AI use cases. As you know AI -> ML -> DL in the broad sense. And the categories allow submissions along those topics.
Cheers Jules
Spark Summit Is Becoming the Spark and AI Summit
Cloud-Based Relational Database Management Systems at Databricks
Re:Microsoft makes Databricks a first-party service on Azure
on Wednesday November 15, 2017 @10:46AM (#15704510)
Really a new day for Apache Spark now accessible to Microsoft developers to use along with all Azure cloud-native services.
Introducing Command Line Interface for Databricks Developers
Introducing Vectorized UDFs for PySpark: How to Run Native Python Code Faster
Introducing the Natural Language Processing Library for Apache Spark
Arbitrary Stateful Processing in Apache Spark’s Structured Streaming
Benchmarking Structured Streaming on Databricks Runtime vs. Kafka Streams and Flink
Accelerating R Workflows on Databricks
Building Complex Data Pipelines with Unified Analytics Platform
Cost-Based Optimizer in Apache Spark 2.2
Developing Custom Machine Learning Algorithms in PySpark
Anthology of Technical Assets on Apache Spark’s Structured Streaming
Breaking the “curse of dimensionality” in Genomics using “wide” Random Forests
Re:Benchmarking Big Data SQL Platforms in the Cloud
on Wednesday July 12, 2017 @12:38PM (#14753998)
Spark 2.2 shows some promise
Re:Benchmarking Big Data SQL Platforms in the Cloud
on Wednesday July 12, 2017 @12:38PM (#14753994)
I see loads of benefits with Spark 2.2.