Spark Summit East 2017 Spark Experience and Use Cases
18 videos • 7,969 views • by Spark Summit
1
Going Real Time: Creating Frequently Updating Datasets for Personalization: talk by Shriya Arora
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2
Spark for Behavioral Analytics Research: Spark Summit East talk by John Wu
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3
Spark as the Gateway Drug to Typed Functional Programming: talk by Jeffrey Smith and Rohan Aletty
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4
Exploring Spark for Scalable Metagenomics Analysis: Spark Summit East talk by Zhong Wang
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5
Monitoring the Dynamic Resource Usage of Scala & Python Jobs in Yarn by Ed Barnes/Ruslan Vaulin
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6
Experiences with Spark's RDD APIs for Complex, Custom Applications: talk by Tejas Patil
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7
Problem Solving Recipes Learned from Supporting Spark: talk by Justin Pihony and Stavros Kontopoulos
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8
Migrating from Redshift to Spark at Stitch Fix: Spark Summit East talk by Sky Yin
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9
Fighting Cybercrime: A Joint Task Force of Real Time Data and Human Analytics by William Callaghan
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10
Learnings Using Spark Streaming and DataFrames for Walmart Search: by Nirmal Sharma and Yan Zheng
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11
Spark Streaming as a Service with Kafka and YARN: Spark Summit East talk by Jim Dowling
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12
Sparking Up Data Engineering: Spark Summit East talk by Rohan Sharma
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13
Lambda Processing for Near Real Time Search Indexing at WalmartLabs: talk by Snehal Nagmote
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14
Fault Tolerance in Spark: Lessons Learned from Production: Spark Summit East talk by Jose Soltren
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15
Spark Autotuning: Spark Summit East talk by: Lawrence Spracklen
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16
Accelerating Spark Genome Sequencing in Cloud—A Data Driven Approach by Eric Kaczmarek and Lucy Lu
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17
Spark: Data Science as a Service: Spark Summit East talk by Shekhar Agrawal and Sridhar Alla
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18
Keeping Spark on Track: Productionizing Spark for ETL: talk by Kyle Pistor and Miklos Christine
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