Running Sparkling Water in Kubernetes
July 10, 2020 Kubernetes Sparkling WaterSparkling Water can now be executed inside the Kubernetes cluster. Sparkling Water provides a Beta version of Kubernetes support in a form of nightlies. Both Kubernetes deployment modes, cluster and client, are supported. Also, both Sparkling Water backends and all clients are also ready to be tested. Sparkling Water in Kubernetes is currently in open […]
Sparkling Water 3.30.0.3 is out
June 4, 2020 H2O Open Source Sparkling WaterSparkling Water is about making machine learning simple, speedy, and scalable with Apache Spark. This blog provides an overview of the following new features: No H2O Client on Spark Driver Speedups Automatic String conversion to Categoricals No H2O Client on Spark Driver Previously, Sparkling Water always started worker nodes either on Spark executors in case […]
AI & ML Platforms: My Fresh Look at H2O.ai Technology
February 25, 2020 AutoML Beginners Business Cloud Community Data Science Explainable AI Guest Posts H2O H2O Driverless AI Machine Learning NLP Open Source Recommendations Sparkling Water2020: A new year, a new decade, and with that, I’m taking a new and deeper look at the technology H2O.ai offers for building AI and machine learning systems. I’ve been interested in H2O.ai since its early days as a company (it was 0xdata back then) in 2014. My involvement had been only peripheral, but […]
H2O’s AutoML in Spark
July 23, 2018 AutoML Sparkling Water Technical TutorialsThis blog post demonstrates how H2O’s powerful automatic machine learning can be used together with the Spark in Sparkling Water. We show the benefits of Spark & H2O integration, use Spark for data munging tasks and H2O for the modelling phase, where all these steps are wrapped inside a Spark Pipeline. The integration between Spark […]
Sparkling Water 2.3.0 is now available!
April 12, 2018 Sparkling WaterHi Makers! We are happy to announce that Sparkling Water now fully supports Spark 2.3 and is available from our download page. If you are using an older version of Spark, that’s no problem. Even though we suggest upgrading to the latest version possible, we keep the Sparkling Water releases for Spark 2.2 and 2.1 […]
Sparkling Water 2.2.10 is now available!
March 22, 2018 AutoML Sparkling WaterHi Makers! There are several new features in the latest Sparkling Water. The major new addition is that we now publish Sparkling Water documentation as a website which is available here. This link is for Spark 2.2. We have also documented and fixed a few issues with LDAP on Sparkling Water. Exact steps are provided […]
New versions of H2O-3 and Sparkling Water available
December 2, 2017 H2O Release Sparkling WaterDear H2O Community, #H2OWorld is on Monday and we can’t wait to see you there! We’ll also be live streaming the event starting at 9:25am PST. Explore the agenda here. Today we’re excited to share that new versions of H2O-3 and Sparkling Water are available. We invite you to download them here: http://www.h2o.ai/download/ H2O-3.16 – […]
Use H2O.ai on Azure HDInsight
April 18, 2017 Cloud Sparkling Water Technical TutorialsThis is a repost from this article on MSDN. We’re hosting an upcoming webinar to present you how to use H2O on HDInsight and to answer your questions. Sign up for our upcoming webinar on combining H2O and Azure HDInsight. We recently announced that H2O and Microsoft Azure HDInsight have integrated to provide Data Scientists […]
Sparkling Water on the Spark-Notebook
April 10, 2017 Guest Posts Sparkling Water TechnicalThis is a guest post from our friends at Kensu. In the space of Data Science development in enterprises, two outstanding scalable technologies are Spark and H2O. Spark is a generic distributed computing framework and H2O is a very performant scalable platform for AI. Their complementarity is best exploited with the use of Sparkling Water. […]
What is new in Sparkling Water 2.0.3 Release?
January 5, 2017 Community H2O Release Sparkling WaterThis release has H2O core – 3.10.1.2 Important Feature: This architectural change allows to connect to existing h2o cluster from sparkling water. This has a benefit that we are no longer affected by Spark killing it’s executors thus we should have more stable solution in environment with lots of h2o/spark node. We are working on […]