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batch 41
4.9 (2.4k ratings)
English
Created by Zeyobron
Curriculum
Description
Course Content
1 big data pre requisite session
Video Lecture
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2 big data execution learning plan discussion
Video Lecture
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3 hadoop evolution deep cloud touch
Video Lecture
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4 hdfs 1.0 cluster adminstration setup details
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5 hadoop metadata management 2.0
Video Lecture
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6 linux commands hdfs commands intro
Video Lecture
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7 hdfs commands deep handson
Video Lecture
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8 hdfs aws cloud integration sqoop intro
Video Lecture
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9 sqoop design deep command first import sqoop controlling import where
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10 sqoop query imports incremental import
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11 sqoop password field automation job cloud intro
Video Lecture
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12 sqoop cloud imports aws azure gcp serialization intro
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13 serialized deep file formats
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14 sqoop avro serialization multi mappers hive intro
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15 hive vs sql deep hive table creation hdfs integration
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16 hive table creation data loads location types of tables
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17 hive types of tables deep partitions static load
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18 hive static insert dynamic partitions revision
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19 hive cloud analytics avro schema evolution project
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20 hive performance tuning spark intro lazy evaluation
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21 spark vs mr performance tuning deployment intro
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22 pyspark ways to process data file read
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23 pyspark list iteration lambda operations
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24 pyspark usecase string iterations flatmap map
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25 pyspark file processing iterations
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26 pyspark rdd to dataframe conversion file reads
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27 pyspark semi structured data read file reads dsl intro
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28 pyspark dsl processing select drops filters
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29 pyspark deel dsl withcolumn scenarios
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30 pyspark dsl anti join cross join
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31 pyspark aggregations windowing revision
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32 pyspark complex data processing intro writes
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33 pyspark complex data processing deep dive
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34 pyspark complex data 3rd type deep dive aws intro
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35 aws intro s3 emr step function resume building
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36 pyspark aws emr project deployment step functions api s3 snowflake
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37 pyspark emr detail project deployment aws
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38 pyspark aws s3 handson cli
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39 pyspark s3 deep handson ec2 creation aws
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40 pyspark emr development and deployment deep
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41 pyspark emr step function automation secret aws secret manager
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42 aws athena spark scala intro
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43 spark scala deep dive aws deployment
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44 nifi data flow orchestration
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45 streaming intro workshop
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46 kafka deep dive nifi integration
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47 kafka deep dive consumption models isr
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48 pyspark streaming kafka integration aws kinesis integration
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49 google cloud gcp pyspark deployment cloud function
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50 azure datapipeline hdinsight datafactory
Video Lecture
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51 nosql database cassandra spark integration
Video Lecture
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This course includes:
51 modules
Comprehensive reading materials
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