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H2O in practice: a protocol combining AutoML with traditional modeling approaches

H2O in practice: a protocol combining AutoML with traditional modeling approaches

Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python, XGBoost

H20 comes with a lot of functionalities. The second part of the series H2O in practice proposes a protocol to combine AutoML modeling with traditional modeling and optimization approach. The objectiveā€¦

H2O in practice: a Data Scientist feedback

H2O in practice: a Data Scientist feedback

Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python

Automated machine learning (AutoML) platforms are gaining popularity and becoming a new important tool in the data scientistsā€™ toolbox. A few months ago, I introduced H2O, an open-source platform forā€¦

Faster model development with H2O AutoML and Flow

Faster model development with H2O AutoML and Flow

Categories: Data Science, Learning | Tags: Automation, Cloud, H2O, Machine Learning, MLOps, On-premises, Open source, Python

Building Machine Learning (ML) models is a time-consuming process. It requires expertise in statistics, ML algorithms, and programming. On top of that, it also requires the ability to translate aā€¦

Running Apache Hive 3, new features and tips and tricks

Running Apache Hive 3, new features and tips and tricks

Categories: Big Data, Business Intelligence, DataWorks Summit 2019 | Tags: JDBC, LLAP, Druid, Hadoop, Hive, Kafka, Release and features

Apache Hive 3 brings a bunch of new and nice features to the data warehouse. Unfortunately, like many major FOSS releases, it comes with a few bugs and not much documentation. It is available sinceā€¦

Gauthier LEONARD

By Gauthier LEONARD

Jul 25, 2019

Publish Spark SQL DataFrame and RDD with Spark Thrift Server

Publish Spark SQL DataFrame and RDD with Spark Thrift Server

Categories: Data Engineering | Tags: Thrift, JDBC, Hadoop, Hive, Spark, SQL

The distributed and in-memory nature of the Spark engine makes it an excellent candidate to expose data to clients which expect low latencies. Dashboards, notebooks, BI studios, KPIs-based reportsā€¦

Oskar RYNKIEWICZ

By Oskar RYNKIEWICZ

Mar 25, 2019

Apache Knox made easy!

Apache Knox made easy!

Categories: Big Data, Cyber Security, Adaltas Summit 2018 | Tags: Kerberos, LDAP, Active Directory, Knox, Ranger, REST

Apache Knox is the secure entry point of a Hadoop cluster, but can it also be the entry point for my REST applications? Apache Knox overview Apache Knox is an application gateway for interacting in aā€¦

Michael HATOUM

By Michael HATOUM

Feb 4, 2019

Canada - Morocco - France

We are a team of Open Source enthusiasts doing consulting in Big Data, Cloud, DevOps, Data Engineering, Data Scienceā€¦

We provide our customers with accurate insights on how to leverage technologies to convert their use cases to projects in production, how to reduce their costs and increase the time to market.

If you enjoy reading our publications and have an interest in what we do, contact us and we will be thrilled to cooperate with you.

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