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Day 1: Intro in Big Data and Hadoop Architecture/ecosystem 9
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Big Data: a bit of history and the V’sCapitol1.1
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Some known and not so much know Big Data usesCapitol1.2
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Lambda architecture overviewCapitol1.3
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What is Hadoop, HDFS emergence and MapReduce evolutionCapitol1.4
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Use cases of HadoopCapitol1.5
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Hadoop architecture overview, detailed and applicability cases : HDFS & MapReduce essentials, YARNCapitol1.6
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Exercises on MapReduceCapitol1.7
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Apache Hive, Impala + ExercisesCapitol1.8
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Understanding role of file formats in Hadoop: Apache Avro, Parquet, ORC (hands on exercises)Capitol1.9
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Day 2: Other projects that are most often part of the Hadoop ecosystem 11
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Data storage:Capitol2.1
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Architecting data in Hadoop: storage options considerationsCapitol2.2
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Apache Hbase in the Hadoop Eco-systemCapitol2.3
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Distributed systems and CAP theoremCapitol2.4
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noSQL solutions overview ( incl Redis)Capitol2.5
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Data computing: Apache Spark introCapitol2.6
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Data analysis: SQL on Hadoop: Hive, Impala; Search: Solr/Elastic; Spark SQLCapitol2.7
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Machine Learning: Spark MLlibCapitol2.8
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Data ingestion: Apache KafkaCapitol2.9
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Other: Oozie, Zookeeper, HueCapitol2.10
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Building a possible architecture for streaming data and batch data (incl ML): Trainer driven exercisesCapitol2.11
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Day 3: Commercial distributions of Hadoop 9
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Cloudera:Capitol3.1
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Architecture & componentsCapitol3.2
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Cloudera specific tools & functionsCapitol3.3
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Use cases of CoulderaCapitol3.4
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Map-R:Capitol3.5
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Architecture and componentsCapitol3.6
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MapR specific featuresCapitol3.7
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Use cases of HadoopCapitol3.8
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Comparison Cloudera and MapRCapitol3.9
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