編寫可靠，簡潔，完善的測試和可維護的數據處理代碼是棘手的。Kiba讓你能夠使用Ruby輕松定義和運行高質量的ETL (Extract-Transform-Load) jobs。

Kiba provides you with a DSL to define ETL jobs:

# declare a ruby method here, for quick reusable logic
def parse_french_date(date)
  Date.strptime(date, '%d/%m/%Y')
end

or better, include a ruby file which loads reusable assets
eg: commonly used sources / destinations / transforms, under unit-test
require_relative 'common'
declare a pre-processor: a block called before the first row is read
pre_process do
do something
end
declare a source where to take data from (you implement it - see notes below)
source MyCsvSource, 'input.csv'
declare a row transform to process a given field
transform do |row|
  row[:birth_date] = parse_french_date(row[:birth_date])
return to keep in the pipeline
row
end
declare another row transform, dismissing rows conditionally by returning nil
transform do |row|
  row[:birth_date].year < 2000 ? row : nil
end
declare a row transform as a class, which can be tested properly
transform ComplianceCheckTransform, eula: 2015
before declaring a definition, maybe you'll want to retrieve credentials
config = YAML.load(IO.read('config.yml'))
declare a destination - like source, you implement it (see below)
destination MyDatabaseDestination, config['my_database']
declare a post-processor: a block called after all rows are successfully processed
post_process do
do something
end</pre>

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