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Growing a Data Pipeline for Analytics
1.
Growing a Data
Pipeline for Analytics Roberto Vitillo, Staff Data Engineer @ Mozilla 26th PyData London Meetup
2.
3.
4.
brew install apache-spark
5.
6.
Don’t do it
yourself!
7.
Input OutputETL Storage
8.
JSON JSON?
9.
10.
11.
12.
13.
JSON Parquet Spark, Hive, Pig …
14.
JSON Parquet Spark, Hive, Pig … ???
15.
“The easier it
is to ask questions, the more questions will be asked”
16.
17.
Modern SQL supports
Map, Arrays & Structs
18.
19.
JSON Parquet Spark, Hive, Pig … Presto, Re:dash
20.
TLDR; • Don’t build
your own pipeline unless you really have to • Use schemas • Exploit columnar storage • Use SQL
Download now