Apache: Big Data North America 2017

Data science is a very broad field which involves lots of techniques and knowledge. But overall we can split it as 2 steps: data munging and data analysis. SQL is pretty suitable for data analysis intrinsically, but it is not good at data munging. For data munging in spark ecosystem people have lots of options, like RDD API or DataSet API, but the learning curve for these apis is a little steep. We provide an alternative option: pig-latin. Pig-latin is a data flow language which is very suitable for data munging and easy to learn, originally it was designed for mapreduce engine. We make it support spark engine and make it share the same SparkContext with Spark SQL so that we can share data between spark and pig.

In this talk, I will describe how we integrate pig-latin with spark sql and demonstrate how it would help your team to get actionable insight from data.