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batch 36
4.9 (2.4k ratings)
English
Created by Zeyobron
Curriculum
Description
Course Content
1 big data intro pre requisite session
Video Lecture
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2 big data end to end execution learning plan discussion
Video Lecture
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3 big data deep evolution cloud basic intro
Video Lecture
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4 hadoop clustering hdfs cluster administration
Video Lecture
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5 hdfs metadata management 2.0 architecture
Video Lecture
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6 linux commands hdfs commands intro
Video Lecture
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7 hdfs commands deep dive
Video Lecture
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8 sqoop intro sample import design command
Video Lecture
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9 sqoop controlling imports where query
Video Lecture
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10 sqoop incremental append password file automation job
Video Lecture
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11 sqoop automation job aws cloud imports
Video Lecture
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12 sqoop aws azure intro serialization intro
Video Lecture
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13 serialiazed file format avro schema evolution multi mappers
Video Lecture
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14 sqoop export staging hive intro evolution
Video Lecture
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15 hive vs sql parsing hive table creation db
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16 hive data loads edge node loads hdfs loads
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17 hive types of tables partitions intro static loads
Video Lecture
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18 hive dynamic partitions revisions
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19 hive aws analytics avro schema evolution project
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20 hive performance tuning spark intro lazy evolution
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21 spark vs mr performance test deployment set up
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22 spark types of processing classes methods scala intro
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23 spark scala interations int strings
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24 spark scala list iterations flatmap usecase
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25 spark rdd file processing
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26 spark schema rdd row rdd
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27 spark dataframe read formulae avro
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28 spark dsl intro filters
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29 spark dsl filters expression withcolumn
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30 spark dsl joins scenario withcolumn
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31 spark anti join aws spark integration
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32 spark df vs rdd writes partition modes
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33 spark complex data intro revision
Video Lecture
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34 spark complex data type 2 struct
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35 spark complex data array type 3 struct generation
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36 real time scenario delta data
Video Lecture
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37 project execution resume building
Video Lecture
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38 aws s3 intro s3 cli commands
Video Lecture
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39 aws s3 ec2 emr intro
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40 emr project development spark
Video Lecture
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41 emr spark development step execution command runner
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42 emr scheduling nifi pyspark intro
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43 pyspark deep handson
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44 nifi intro data flow streaming
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45 spark streaming intro workshop
Video Lecture
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46 streaming intro kafka theory execution
Video Lecture
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47 spark kafka streaming integration nifi streaming
Video Lecture
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48 spark kafka consumption model kinesis streaming
Video Lecture
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49 hbase nosql spark hive integration hbase
Video Lecture
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50 cassandra no sql spark integration
Video Lecture
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51 spark dataframe streaming structured
Video Lecture
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This course includes:
51 modules
Comprehensive reading materials
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