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Databricks provides an Apache Spark based analytics platform on three of the largest cloud service providers: Microsoft Azure, Amazon AWS and Google GCP.

Founded by Spark developers, Databricks focuses on monetizing the open source Big Data system Apache Spark by providing a unified and simple user experience. It is used for building large Data Lakes, to implement real-time streaming use cases or to replace large ETL processes.

The Databricks platform propose a workspace to write data centric applications in Spark. The Databricks eco-system is enriched with Delta Lake to expose and manage the data stored in the data lake, MLFlow to develop and operate machine learning pipelines and Databricks SQL to build a multi-cloud data warehouse for business analytics.

Adaltas specialized in Big Data and is a Databricks partner. Our Databricks certified consultants provide support and training mainly in France and the Paris area.

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Categories: Cloud Computing, Data Engineering, Adaltas Summit 2021 | Tags: Metrics, Monitoring, Spark, Azure, Databricks, Log4j

Databricks is an optimized data analytics platform based on Apache Spark. Monitoring Databricks plateform is crucial to ensure data quality, job performance, and security issues by limiting access to…

Claire PLAYE

By Claire PLAYE

May 10, 2022

Canada - Morocco - France

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We are a team of Open Source enthusiasts doing consulting in Big Data, Cloud, DevOps, Data Engineering, Data Science…

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.