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batch 27
4.9 (2.4k ratings)
English
Created by Zeyobron
Curriculum
Description
Course Content
day 1 big data intro
Video Lecture
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day 2 workshop
Video Lecture
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3 software overview big data basics evolution
Video Lecture
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4 hdfs 1.0 architecture
Video Lecture
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5 hdfs metadata management 2.0 architecture
Video Lecture
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6 hdfs federation linux hdfs commands intro
Video Lecture
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7 linux and hdfs commands
Video Lecture
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8 sqoop intro handson multi mappers
Video Lecture
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9 sqoop multi mappers control imports incremental append
Video Lecture
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10 sqoop incremental job and last modified
Video Lecture
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11 sqoop last modified deep dive and semi structured formats
Video Lecture
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12 sqoop serialization export staging1
Video Lecture
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13 sqoop performance tuning hive intro
Video Lecture
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14 hive intro thoery handson db table data loads
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15 hive types of tables location hdfs loads
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16 hive partitions static load
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17 hive static insert partitions dynamic partitions sub partitions
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18 aws hive cloud analytics
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19 hive avro schema evolution and automation
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20 hive bucketing dml project explanation
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21 spark intro lazy evolution in memory computation
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22 spark eclipse set up cluster deployement
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23 spark rdd intro list iterations
Video Lecture
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24 spark rdd schema rdd intro
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25 spark rdd joins spark row rdd dataframe conversion
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26 spark seamless semi structured data reads-writes
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26 spark extra class path deployment modes partition writes
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27 spark revision usecase
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28 spark covid use case revision
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29 spark domain specific language
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30 spark domain specific deep dive with column
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31 spark complex json struct data processing and generation
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32 spark complex array data processing and generation
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33 spark xml data handling hive integration
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34 spark hive integration deep rdbms integration aws s3 integration
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35 hbase intro cap theorem project 3
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37 phase 2 project hbase hive integration hbase handson
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38 spark hbase integration pyspark intro
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39 pyspark rdd dataframe operations resume building
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40 aws intro s3 commands integration
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41 aws s3 commands ec2 emr spark deployment
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42 aws emr spark deployment command runner
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43 project 4
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44 spark aws emr project deployement
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45 nifi intro data flow ingestion
Video Lecture
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46 nifi aws s3 write spark streaming consumption
Video Lecture
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47 cassandra intro handson spark integration
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48 streaming intro kafka spark memory optimization
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49 spark streaming kafka handson
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50 kafka isr consumption model aws spark kinesis streaming
Video Lecture
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51 yarn architecture spark structured streaming kafka
Video Lecture
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52 git version control
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This course includes:
52 modules
Comprehensive reading materials
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