Course Content
big data workshop day1
big data workshop day 2
day 1 data evolution hadoop
2 day2 cluster explanation
3 day 2 hdfs architecture
4 hdfs 1.0 2.0
5 linux hadoop commands
6 linux and hdfs
7 hdfs commands sqoop intro
8 sqoop import
9 sqoop import properties
10 sqoop incremental semi structured data import
11 sqoop last modified
12 sqoop export hive intro
13_sqoop_performance_hive
14 hive locations types of tables
15 hive partitions static and dynamic
16 hive bucketing sub partitions
17 hive avro data processing
18 mr yarn
19-project 1- 2 design
20 project 2 document walkthrough
21 project scheduling parameterization
22 spark intro
23 hive performance tuning spark set up
24 spark core set up
25 spark rdd handson
26 spark rdd transformations with schema rdd
27 spark rdd to dataframe conversion seamless read
28 semi structured read write external jars
29 spark saves modes partitions parameterization
30 spark revision use case
31 spark domain specific language handson
32 complex data processing
33 spark hive rdbms integration pyspark intro
34 pyspark rdd operations and deployments
35 pyspark dsl and integration
36 uber usecase
37 hbase theory sqoop integration
38 spark hbase integration
39 pyspark hbase integration project 3
39 pyspark hbase integration project 3
40 project 4
41 cassandra intro
42 spark cassandra handson nifi installation
43 nifi execute flow
44 aws intro
45 aws azure hive cloud analytics
46 aws s3 and kinesis compatibility44 aws s3 and kinesis compatibility
47 spark streaming handson kinesis data streams
48 kafka overview streaming
49 spark streaming consumption
50 kafka offset reset
51 kafka architecture spark structured streaming intro
52 spark structured streaming handson
About this course
Batch 24
Enroll for Free
This course includes:
- 55 modules
- Comprehensive reading materials
- Full lifetime access