batch 25

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Course Content

day 1 big data workshop
day 2 big data workshop
3 software overview data evolution big data intro
4 hdfs 1.0 cluster administration
5 hdfs meta data management hdfs 2.0
6 linux hdfs commands
7 unix paramterization sqoop intro
8 sqoop import handson
9 sqoop query and incremental append
10 sqoop last modified hue
11 sqoop semi structured data import
12 sqoop export properties
13 sqoop performance tuning part1
13 sqoop performance tuning part1
14 hive intro handson
15 hive types of tables
16 hive static partition azure hive analytics
17 aws azure cloud analytics
18 dynamic sub bucketing hive
19 hive avro semi structured data processing
20 project scheduling map reduce
21 map reduce extension
23 spark inmemory computation
24 spark set up and deployment
25 spark rdd handson
26 spark schema rdd row rdd transformations
27 spark dataframe seamless read-write intro
28 spark xml avro read-write extra jars classpath
29 spark dsl paramterization
30 complex data processing spark json
31 spark complex array rdbms integration
32 spark hive integration deep dive hbase intro
45 nifi cassandra incremental append intro
34 hbase handson hive integration
35 spark hbase hive integration
36 project 3 explanation
37 pyspark basics set up
38 pyspark intro
39 pyspark operations and integration
40 pyspark hbase integration uber usecase
41 yarn architecture spark architecture
42 cassandra thoery handson spark integration
43 nifi intro and data flow rdbms
44 project 4 architecture and design explanation
46 nifi incremental cassandra import spark partitioning
47 spark coalesce repartition cache persist aws intro
48 spark broadcast deploymode aws s3 commands
49 aws ec2 emr spark deployment
50 aws athena spark streaming intro
51 kafka intro handson spark integration
52 kafka consumption models group id offset id
53 spark aws kinesis stream integration
54 spark structured streaming with kafka

About this course

Batch 25