02 what-is-big-data.mp4 (12.99 MB)
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03 impact-of-big-data.mp4 (9.93 MB)
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04 parallel-processing-scaling-and-data-parallelism.mp4 (13.83 MB)
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05 big-data-tools-and-ecosystem.mp4 (8.97 MB)
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06 open-source-and-big-data.mp4 (11.19 MB)
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07 beyond-the-hype.mp4 (8.93 MB)
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08 big-data-use-cases.mp4 (10.38 MB)
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01 introduction-to-hadoop.mp4 (12.67 MB)
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02 intro-to-mapreduce.mp4 (9.68 MB)
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03 hadoop-ecosystem.mp4 (7.9 MB)
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04 hdfs.mp4 (13.69 MB)
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05 hive.mp4 (9.52 MB)
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06 hbase.mp4 (10.21 MB)
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01 why-use-apache-spark.mp4 (9.58 MB)
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02 functional-programming-basics.mp4 (9.78 MB)
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03 parallel-programming-using-resilient-distributed-datasets.mp4 (9.87 MB)
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04 scale-out-data-parallelism-in-apache-spark.mp4 (6.41 MB)
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05 dataframes-and-sparksql.mp4 (8.11 MB)
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01 rdds-in-parallel-programming-and-spark.mp4 (10.21 MB)
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02 data-frames-and-datasets.mp4 (8.22 MB)
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03 catalyst-and-tungsten.mp4 (9.53 MB)
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04 etl-with-dataframes.mp4 (11.28 MB)
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05 real-world-usage-of-sparksql.mp4 (7.69 MB)
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01 apache-spark-architecture.mp4 (11.2 MB)
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02 overview-of-apache-spark-cluster-modes.mp4 (10.89 MB)
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03 how-to-run-an-apache-spark-application.mp4 (13.11 MB)
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01 using-apache-spark-on-ibm-cloud.mp4 (8.34 MB)
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02 setting-apache-spark-configuration.mp4 (11.6 MB)
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03 running-spark-on-kubernetes.mp4 (8.52 MB)
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01 the-apache-spark-user-interface.mp4 (10.5 MB)
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02 monitoring-application-progress.mp4 (14.07 MB)
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03 debugging-apache-spark-application-issues.mp4 (10.49 MB)
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04 understanding-memory-resources.mp4 (10.52 MB)
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05 understanding-processor-resources.mp4 (10.43 MB)
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