The difference between a spark with h2o and sparkling water

Question

I have a few questions or doubts regarding sparkling water and why this is necessary.

Suppose I have a generated h2o model with binary and pojo.

Now I want to deploy the model into production and be able to use pojo and binary (sparkling water).

• What benefits should I use? Direct spark with Pojo or sparkling water with Binary.
• What is the exact use of sparkling water when we can easily deploy the model with pojo and spark?
• Is sparkling water required only when you need to train a model in massive amounts of data? Or it can also be used in PROD deployments of the model.

Example: https://github.com/h2oai/h2o-droplets/blob/master/h2o-pojo-on-spark-droplet/src/main/scala/examples/PojoExample.scala

Uses a spark to launch the pojo model.

Example: https://github.com/h2oai/h2o-droplets/blob/master/sparkling-water-droplet/src/main/scala/water/droplets/SparklingWaterDroplet.scala

Trains / launches model in sparkling water.

What are the benefits of h2o sparkling water with a normal spark?

Answer 1

• Which should i use? Direct spark with Pojo or sparkling water with Binary.

  • "", . , , POJO/MOJO Spark, H2O.

• , pojo ?

  • Sparkling Water - H2O Spark. : Spark , munging .. POJO/MOJO + Spark

• , ? PROD- .

  • , H2O , Spark.

"" " " , REST : POJO/MOJO - , ( H2O ). , .

, , w/Sparkling Water, (asH2OFrame (..)), , pred()