dmatrix

7 ms·

31.
by dmatrix 9y ago
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 i
32.
The Architecture of the Next CERN Accelerator Logging Service: CERN's Big Data(databricks.com)
2 points by dmatrix 9y ago|0 comments
33.
Spark Summit Is Becoming the Spark and AI Summit(databricks.com)
2 points by dmatrix 9y ago|2 comments
34.
Cloud-Based Relational Database Management Systems at Databricks(databricks.com)
2 points by dmatrix 9y ago|0 comments
35.
by dmatrix 9y ago
Really a new day for Apache Spark now accessible to Microsoft developers to use along with all Azure cloud-native services.
36.
Introducing Command Line Interface for Databricks Developers(databricks.com)
2 points by dmatrix 9y ago|0 comments
37.
Introducing Vectorized UDFs for PySpark: How to Run Native Python Code Faster(databricks.com)
4 points by dmatrix 9y ago|0 comments
38.
Introducing the Natural Language Processing Library for Apache Spark(databricks.com)
1 points by dmatrix 9y ago|0 comments
39.
Arbitrary Stateful Processing in Apache Spark’s Structured Streaming(databricks.com)
3 points by dmatrix 9y ago|0 comments
40.
Benchmarking Structured Streaming on Databricks Runtime vs. Kafka Streams and Flink(databricks.com)
2 points by dmatrix 9y ago|0 comments
41.
Accelerating R Workflows on Databricks(databricks.com)
2 points by dmatrix 9y ago|0 comments
42.
Building Complex Data Pipelines with Unified Analytics Platform(databricks.com)
1 points by dmatrix 9y ago|0 comments
43.
Cost-Based Optimizer in Apache Spark 2.2(databricks.com)
98 points by dmatrix 9y ago|5 comments
44.
Developing Custom Machine Learning Algorithms in PySpark(databricks.com)
3 points by dmatrix 9y ago|0 comments
45.
Anthology of Technical Assets on Apache Spark’s Structured Streaming(databricks.com)
3 points by dmatrix 9y ago|0 comments
46.
Breaking the “curse of dimensionality” in Genomics using “wide” Random Forests(databricks.com)
4 points by dmatrix 9y ago|0 comments
47.
by dmatrix 9y ago
Spark 2.2 shows some promise
48.
by dmatrix 9y ago
I see loads of benefits with Spark 2.2.