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Applying the Lambda Architecture with Spark, Kafka, and Cassandra

Course Summary

This course introduces how to build robust, scalable, real-time big data systems using a variety of Apache Spark's APIs, including the Streaming, DataFrame, SQL, and DataSources APIs, integrated with Apache Kafka, HDFS and Apache Cassandra.


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    Course Syllabus

    Course Overview
    - 2m 7s

    —Course Overview 2m 7s
    A Modern Big Data Architecture
    - 51m 40s

    —Defining the Lambda Architecture 5m 16s
    —What Are We Building? 2m 15s
    —Setting up Your Environment: Demo 4m 41s
    —Tools We'll Need: Demo 4m 16s
    —Installing the Course VM: Demo 5m 27s
    —Fast Track to Scala: Basics 6m 29s
    —Fast Track to Scala: Language Features 11m 41s
    —Fast Track to Scala: Collections 4m 6s
    —Spark with Zeppelin: Demo 5m 30s
    —Summary 1m 54s
    Batch Layer with Apache Spark
    - 1h 4m
    Speed Layer with Spark Streaming
    - 1h 0m
    Advanced Streaming Operations
    - 1h 10m
    Streaming Ingest with Kafka and Spark Streaming
    - 1h 22m
    Persisting with Cassandra
    - 32m 17s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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