doctapp Profile Banner
Martin Tapp Profile
Martin Tapp

@doctapp

Followers
59
Following
71
Media
20
Statuses
195

Joined April 2013
Don't wanna be here? Send us removal request.
@montrealjug
MontrealJUG @[email protected]
7 years
Registration opened for next @MontrealJUG talk about Distributed Computing with @ApacheSpark by @DocTapp from @KronosInc.:
0
2
3
@doctapp
Martin Tapp
8 years
Apache Spark 2.3!
0
0
2
@doctapp
Martin Tapp
8 years
Introducing Apache Spark 2.2
0
0
0
@doctapp
Martin Tapp
9 years
Detecting Abuse at Scale: Locality Sensitive Hashing at Uber Engineering
databricks.com
Explore how Uber and Databricks use Locality Sensitive Hashing in Apache Spark to detect platform abuse efficiently.
0
0
0
@Ronald_vanLoon
Ronald van Loon
9 years
Data Scientist Creates Fully Optimized Road Trip Map To Every National Park | #Analytics #DataScientist #RT https://t.co/z15dgOTZA6
0
18
15
@doctapp
Martin Tapp
9 years
Optimize Spark with DISTRIBUTE BY & CLUSTER BY
0
0
0
@doctapp
Martin Tapp
9 years
The Infrastructure Behind Twitter: Scale
0
0
0
@doctapp
Martin Tapp
9 years
Using Scala for game development with Scala Native
0
0
0
@doctapp
Martin Tapp
9 years
Scaled-down Scala variant cuts ties to the JVM
0
0
0
@doctapp
Martin Tapp
9 years
Up and running with Apache Spark on Apache Kudu
0
1
0
@doctapp
Martin Tapp
9 years
Real-time Streaming ETL with Structured Streaming in Apache Spark 2.1
databricks.com
Implement real-time streaming ETL using Structured Streaming in Apache Spark 2.1 for efficient data processing.
0
0
0
@doctapp
Martin Tapp
9 years
Developers pick up new Git code-hosting option
0
0
0
@doctapp
Martin Tapp
9 years
Google’s AI translation tool seems to have invented its own secret internal language
0
0
0
@doctapp
Martin Tapp
9 years
Move over Memcached and Redis, here comes Netflix's Hollow
0
0
0
@doctapp
Martin Tapp
9 years
Data Eng Conf NY Nov 2016 Parquet Arrow by @J_ #apache #arrow
0
0
0
@doctapp
Martin Tapp
9 years
Scala 2.12 Released!
0
0
0
@doctapp
Martin Tapp
9 years
Facebook's improvements to #Spark to run a 60 TB+ production use case
0
0
3