batch 47

4.9 (2.4k ratings) English Created by Zeyobron

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 incremen
11 sqoop password file automation jobs cloud intro
12 sqoop cloud intro aws azure gcp s3 iport serialization glimpse
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 hive cloud anaytics with hive full revision
21 hive performance tuning
22 spark lazy evaluation - mr vs spark performance check deployment
23 pyspark types of processing
24 pyspark handson list iterations
25 pyspark rdd handson deep dive string flatmap
26 pyspark dataframe file read
27 pyspark dataframe after rdd file read processing
28 datarame deep handson
29 pyspark dsl select expression filters deep dive
30 pyspark dsl select expression filters deep dive
31 pyspark aggregations deep join
32 real time scenario with dsl
33 real time scenerio with join and expressions
34 complex data processing with gold video
35 complex data processing with revision
36 complex data processing and 3rd type
37 complex data 3rd type api data read resume building
38 ai aws datapipeline
39 aws cloud data pipeline end to end
40 aws intro aws deep services
41 aws cloud session
42 aws cloud deployment with scala spark
43 aws emr full project airflow github integration
44 ai aws cloud session
45 aws ai cloud session
46 scala spark emr deployment
47 ai streaming session
48 spark streaming deep with kafka
49 kafka spark streaming integration
50 aws kinesis with azure intro and gcp
51 azure databricks
52 gcp and cassandra
53 google cloud session deployment

About this course