batch 48

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Course Content

1 bigdata pre requisite session
2 big data handson execution learning plan discussion
3 big data analytics deep dive evolution
4 cloud glimpse clustering hdfs architecture installation
5 hadoop practical block splits metadata management 2.0 intro
6 linux and hadoop command intro
7 linux remaining hdfs commands intro
8 hdfs data exchange sqoop intro
9 sqoop first import where imports
10 sqoop query import incremntal
11 sqoop password file automat
12 sqoop cloud intro aws azur
13 serialized deep dive file format
14 avro serialization multi mappers hive intro
15 hive deep dive hive vs sql
16 hive hdfs deep integration table creation edge node loads location
17 hive types of tables partitions intro
18 hive partitions deep full revision
19 hive dynamic partitions cloud analytics avro schema evolution
20 ai workshop session
21 hive performance tuning
22 spark lazy evaluation - mr vs spark performance check deployment
23 pyspark handson list iterations
24 pyspark rdd handson deep dive string
25 spark rdd deep iterations
26 pyspark rdd file read processing
27 rdd to dataframe - dataframe file reads
28 dataframe deep handson
29 pyspark dsl select expression
30 pyspark dsl select expression filters deep dive
31 pyspark aggregations deep join
32 real time scenario with dsl
33 git integrstion databricks integration git
34 complex data processing with gold video
35 complex data type 3 with pyspark
36 complex data 3rd type api data read resume building
38 ai azure datapipeline
39 azure cloud data pipeline end
40 azure databricks with azure storage cloud
41 azure databricks azure datafactory deep archiestsion
42 aws cloud intro s3
43 aws cloud session
44 aws production deployment
45 ai azure aws airflow
46 ai deep dive
47 ai streaming workshop
48 spark streaming deep kafka with nifi
49 kafka spark streaming integration
50 aws kinesis with scala spark
51 aws kinesis with scala spark deep
52 gcp and cassandra
53 google cloud session deployment

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