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2017 SAIS Europe Apache Spark Summit
文档数:
65
Lessons From the Field Applying Best Practices to Your Apache Spark? Applications
iteblog
Deep Dive into Stateful Stream Processing in Structured Streaming
iteblog
Fire in the Sky An Introduction to Monitoring Apache Spark in the Cloud
iteblog
Lessons Learned while Implementing a Sparse Logistic Regression Algorithm in Spark
iteblog
Extending Spark's Ingestion Build Your Own Java Data Source
iteblog
Feature Hashing for Scalable Machine Learning
iteblog
Dr. Elephant Achieving Quicker, Easier, and Cost
Effective Big Data Analytics
From pipelines to refineries scaling big data applications
iteblog
Indicium Interactive Querying at Scale
iteblog
Experimental Design for Distributed Machine Learning
iteblog
How to share state across multiple Spark jobs using Apache Ignite
iteblog
Hotels.com's Journey to Becoming an Algorithmic Business
iteblog
Extending Spark SQL Data Sources APIs with Join Push Down
iteblog
Deep Learning and Streaming in Apache Spark 2.x
iteblog
Fast Data with Apache Ignite & Apache Spark
iteblog
Digitalising the Core – How Analytics is Shaping the Energy Industry
iteblog
High Performance Enterprise Data Processing with Apache Spark
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Building Custom ML PipelineStages for Feature Selection
iteblog
Build, Scale, and Deploy Deep Learning Pipelines Using Apache Spark
iteblog
Building a Business Logic Translation Engine with Spark Streaming for Communicating Between Legacy Code and Microservices
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Best Practices for Using Alluxio with Spark
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Beyond unit tests Testing for SparkHadoop workflows
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Approximate Computing for Stream Analytics in Apache Spark
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Art of Feature Engineering For Data Science
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Bench Simulate, Test, Compare, Exercise, and Yes, Benchmark
iteblog
Apache Spark Streaming + Kafka 0.10 An Integration Story
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A Tale of Three Apache Spark APIs RDDs, DataFrames & Datasets
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Apache Spark Performance Troubleshooting at Scale
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Apache Spark and Tensorflow as a Service
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Apache Spark Streaming Programming Techniques You Should Know
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