Lynn matches the business needs to modern Hadoop solutions and gives examples of companies which have implemented fast Hadoop'with Spark to meet these needs.
- [Instructor] Now let's pull this together.…In this section, we started talking…about customer needs that drove solutions around faster,…new Hadoop, so focusing on stream data processing.…Do you remember we talked about streaming ETL,…talked data enrichment and trigger event detection?…Well it's really interesting to see…that three huge companies have solved…those problems using, guess what, Spark.…Uber converts mobile events into structured data…and responds to aggregate event data more quickly.…
Pinterest converts user interaction around pins…and increased customer engagement via faster feedback.…Conviva manages video stream quality…and prevents customer churn by responding…to issues more rapidly.…Do you see the commonality here?…Businesses had a need to ingest event data…near real-time, enrich it, and respond…to it more quickly so that they…could become more successful.…Spark has been meeting that need.…
Author
Released
7/5/2017- Relate which file system is typically used with Hadoop.
- Explain the differences between Apache and commercial Hadoop distributions.
- Cite how to set up IDE - VS Code + Python extension.
- Relate the value of Databricks community edition.
- Compare YARN vs. Standalone.
- Review various streaming options.
- Recall how to select your programming language.
- Describe the Databricks environment.
Skill Level Intermediate
Duration
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1. Hadoop Core Fundamentals
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Hadoop libraries1m 23s
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Resource coordinators1m 30s
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Compare YARN vs. Standalone1m 30s
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Big data streaming1m 57s
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Streaming options1m 10s
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Apache Spark basics1m 46s
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Spark use cases1m 2s
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5. Spark Basics
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Apache Spark libraries3m 24s
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Spark shell1m 53s
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6. Using Spark
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Import and export notebooks2m 56s
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Calculate pi on Spark8m 19s
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SparkR6m 11s
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Spark ML: Preparing data4m 21s
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Spark ML: Building the model3m 50s
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MXNet or TensorFlow2m 30s
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Spark with GraphX2m 12s
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8. Spark Streaming
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Spark streaming4m 21s
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9. Hadoop Streaming
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Pub/Sub on GCP3m 59s
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Apache Kafka1m 26s
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Kafka architecture1m 6s
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Storm architecture1m 36s
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10. Modern Hadoop Architectures
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Conclusion
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Next steps26s
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Video: Spark use cases