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Top 5 Lessons Learned in Building Streaming Applications at Microsoft Bing Scale

Top 5 Lessons Learned in Building Streaming Applications at Microsoft Bing Scale

Category: Data & Analytics
Released: April 21, 2017
Building Custom Machine Learning Algorithms With Apache SystemML

Building Custom Machine Learning Algorithms With Apache SystemML

Category: Data & Analytics
Released: April 21, 2017
GPU Computing With Apache Spark And Python

GPU Computing With Apache Spark And Python

Category: Data & Analytics
Released: April 21, 2017
A Graph-Based Method For Cross-Entity Threat Detection

A Graph-Based Method For Cross-Entity Threat Detection

Category: Data & Analytics
Released: April 21, 2017
Big Data in Production: Lessons from Running in the Cloud

Big Data in Production: Lessons from Running in the Cloud

Category: Data & Analytics
Released: April 21, 2017
CaffeOnSpark: Deep Learning On Spark Cluster

CaffeOnSpark: Deep Learning On Spark Cluster

Category: Data & Analytics
Released: April 21, 2017
Scaling Machine Learning To Billions Of Parameters

Scaling Machine Learning To Billions Of Parameters

Category: Data & Analytics
Released: April 21, 2017
Spark at Bloomberg: Dynamically Composable Analytics

Spark at Bloomberg: Dynamically Composable Analytics

Category: Data & Analytics
Released: April 21, 2017
Deploying Accelerators At Datacenter Scale Using Spark

Deploying Accelerators At Datacenter Scale Using Spark

Category: Data & Analytics
Released: April 21, 2017
Time-Evolving Graph Processing On Commodity Clusters

Time-Evolving Graph Processing On Commodity Clusters

Category: Data & Analytics
Released: April 21, 2017
Building Realtime Data Pipelines with Kafka Connect and Spark Streaming

Building Realtime Data Pipelines with Kafka Connect and Spark Streaming

Category: Data & Analytics
Released: April 21, 2017
High-Performance Python On Spark

High-Performance Python On Spark

Category: Data & Analytics
Released: April 21, 2017