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Building Deep Learning Powered Big Data Analytics using BigDL

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2022-07-26 104 3.33MB 21页
Real-time analytical query processing and predictive model building on high dimensional document datasets with timestamps

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2022-07-26 105 1.71MB 23页
NATURAL LANGUAGE UNDERSTANDING WITH MACHINE LEARNED ANNOTATORS&DEEP LEARNED ONTOLOGIES AT SCALE

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2022-07-26 100 2.49MB 22页
Netflix’s Recommendation ML Pipeline using Apache Spark

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2022-07-26 111 1.24MB 24页
Using Spark and Riak for IoT apps Patterns and Anti-patterns

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2022-07-26 83 3.21MB 47页
Data-Driven Water Security with Bluemix Apache Spark Service

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2022-07-26 94 2.21MB 10页
ALLUXIO(FORMERLY TACHYON):UNIFY DATA AT MEMORY SPEED-EFFECTIVE USING SPARK WITH ALLUXIO

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2022-07-26 185 6.03MB 33页
Acceleration of Generic SPARK Workloads via a“Sea of Cores”Scalable Compute Fabric

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2022-07-26 109 8.23MB 20页
Spark SQL:Another 16x faster aFer Tungsten SPARC processor has drama1c advantages over x86 on Apache Spark

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2022-07-26 97 1.84MB 41页
Analytics at the Real-Time Speed of Business

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2022-07-26 84 1.86MB 20页
Next Generation Archiving:Can we do it

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2022-07-26 89 864.66KB 13页
ENGINEERING FAST INDEXES

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2022-07-26 96 267.91KB 26页
Fault Tolerance in Spark:Lessons Learned from Production

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2022-07-26 84 2.38MB 25页
The Leaky Pipeline Problem:Making your Mark as a Woman in Big Data

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2022-07-26 92 1.93MB 12页
HPE Vertica and Sparkitecture

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2022-07-26 118 4.22MB 15页
NO MORE

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2022-07-26 121 1.4MB 20页
Improving Python and Spark Performance and Interoperability

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2022-07-26 79 727.62KB 37页
ENGINEERING FAST INDEXES(DEEP DIVE)

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2022-07-26 108 357.12KB 37页
Auto Scaling Systems With Elastic Spark Streaming

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2022-07-26 107 824.53KB 15页
Building realtime BI Systems with Kafka,Spark and Kudu

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2022-07-26 75 702.95KB 19页

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