Course Content
1 bigdata pre requisite session
2 big data handson execution learning plan discussion
3 big data analytics deep dive
4 cloud glimpse clustering hdfs architecture installation
5 hadoop practical block splits metadata management 2.0 intro
6 cloud hadoop deep dive linux commands
7 linux remaining hdfs command
8 hdfs data exchange sqoop intro
9 sqoop first import where imports
10 sqoop query import incremntal with interaction
11 sqoop automation job serialisation
12 sqoop cloud intro aws azur
13 cloud import multi mappers hive glimpse
14 hive intro hive deep dive
15 hive warehouse types of tables.
16 hive partitions with dynamic
17 hive analytics avro with databricks intro
18 revision along with databricks
19 databricks warehouse deep dive
20 ai streaming workshop
21 databricks phase 1 end to end project
22 spark intro spark lazy evaluation
23 pyspark handson list iterations
24 pyspark rdd handson deep dive string
25 pyspark rdd list iterations
26 pyspark rdd file read processing
27 rdd to dataframe - dataframe file reads
28 dataframe dsl deep handson
29 pyspark dsl withcolumn aggregation scenarios
30 pyspark dsl select expression filters deep dive
31 complex data with merge and scd types
32 complex data deep with delta lakes
33 pyspark complex data processing
34 complex data type 3 with pyspark
35. pyspark complex data prcoessing
36 complex data processing along resume building
37 google cloud along with ai pipeline project
37 aws datapipeline
About this course
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This course includes:
- 38 modules
- Comprehensive reading materials
- Full lifetime access