datamantra
Type Inference in Java | Latest Java Features Series
7:31
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Multi-Source Data Analysis using Spark and Tellius
1:31:42
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Spark on Kubernetes
1:59:05
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State Management in Structured Streaming
1:24:02
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Understanding Transactional Writes in Data Source V2 API
1:48:17
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Introduction to Data Source V2 API
2:07:34
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Core Services behind Spark Job execution
35:42
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Exploratory Data Analysis in Spark with Jupyter
1:27:44
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Optimizing S3 Write-heavy Spark workloads
40:47
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Structured Streaming with Kafka
1:11:43
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Understanding Time in Structured Streaming
1:50:42
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Dr Elephant - Achieving Quicker, Easier and Cost Effective Big Data Analytics with Spark
49:36
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Scalability Limits of Spark Applications
1:02:23
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A Spark stack for Automating Life cycle of Prediction models
1:09:18
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Productionalizing Spark ML
1:23:32
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Building real time data pipeline using Spark Streaming
1:27:33
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Introduction to Structured Streaming
1:49:30
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Beyond Unit test cases
31:39
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Unit testing Spark and Scala
1:22:01
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Understanding Implicits in Scala
2:19:29
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Migrating to Spark 2.0 - Part 2
2:13:29
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Migrating to Spark 2.0 - Part 1
1:15:11
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Scalable Spark deployment using Kubernetes
2:51:07
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Introduction to Concurrent programming with Akka Actors
2:29:04
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Apache Carbondata: An indexed columnar file format for interactive query with Spark SQL
1:10:25
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Introduction to functional programming in Scala
1:13:07
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Bangalore Apache Spark meetup group 2nd anniversary update
9:51
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End to End Streaming ML Recommendation Pipeline Spark 2 0, Kafka, TensorFlow Workshop
2:17:04
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Big Data with Google Cloud and Dataflow
1:01:59
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Interactive data analysis with Spark streaming
1:26:39
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Telco Analytics at Scale
49:37
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Platform for DataScientists
34:26
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Building scalable Rest service with Akka HTTP
1:53:48
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Realtime ETL Processing using Spark streaming
42:59
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Interactive workflow management using Azkaban
1:37:53
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Anatomy of Spark SQL Catalyst - Part 2
1:40:39
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Anatomy of Spark SQL Catalyst - Part 1
1:42:33
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Introduction to Structured streaming
59:27
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Introduction to Spark 2.0
1:01:53
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Evolution of Apache Spark
53:37
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Machine learning pipelines with Spark ML
1:05:22
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Productionalizing a Spark application
50:08
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Introduction to Flink Streaming
2:41:44
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Building end to end streaming application on Spark
2:51:15
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Apache Spark with Machine Learning
19:53
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Building Distributed Systems from Scratch - Part 2
50:07
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Introduction to Dataset API
39:47
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Anatomy of in-memory management in Spark
1:12:38
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Bangalore Apache Spark meetup update - 13th Feb 2016
5:06
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Introduction to Hadoop (HDFS & Map/Reduce) for Spark Developers
1:59:53
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Introduction to Apache Flink
2:04:52
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A Tool For Big Data Analysis using Apache Spark
16:54
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Bangalore Apache Spark meetup update - 10th Jan 2016
3:06
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Bangalore Apache Spark meetup update - 28th Nov
3:16
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Building Distributed Systems from Scratch - Part 1
2:39:40
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Spark on YARN
2:07:42
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Apache Spark accelerates Agile practices
1:07:10
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Bangalore Apache Spark meetup update - 17th Oct
1:41
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Introduction to Machine Learning in Spark - Part 2
1:21:24
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Introduction to Machine Learning in Spark - Part 1
1:38:42
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Improving Mobile Payments with Real time Spark
55:30
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Anatomy of Data Frame API : Deep dive into Spark SQL Data Frame API
2:01:45
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Kafka and Spark streaming
56:38
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Anatomy of Data Source API : Deep dive into Spark SQL Data Source API
1:00:42
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Hindex - Faster Hbase queries
23:58
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Zookeeper in the Wild
29:42
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Bangalore Apache Spark Meetup - Community Update and Future plans
11:54
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Structured data processing with Spark SQL
1:40:43
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Aggregation framework on Spark
38:37
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Dataframe Flash talk
1:59
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Introduction to Spark Streaming
1:50:23
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Extending Apache Spark API
24:43
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Anatomy of RDD : Deep dive into Spark RDD abstraction
1:59:06
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Spark and Machine Learning at Zinnia Systems
32:54
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Introduction to Apache Spark
59:12
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Introduction to Spark Architecture
58:31