Apache Spark’s developers formed the American enterprise software startup Databricks. Databricks creates a web-based Spark platform with IPython-style notebooks and automatic cluster management. The cloud data platform developed and sold by Databricks is marketed under the moniker “lakehouse,” a combination of the terms “data warehouse” and “data lake.” The Apache Spark open-source technology, on which Databricks’ Lakehouse is built, enables analytical queries over semi-structured data without a conventional database architecture. For use with contractors and the U.S. federal government, Lakehouse was granted FedRAMP authorization in October 2022.

The company also developed Delta Lake, MLFlow, and Koalas, open-source projects that span data engineering, data science, and machine learning. In addition to building the Databricks platform, the company co-organizes massive open online courses about Spark and a conference for the Spark community called Data + AI Summit, formerly known as Spark Summit.

What is Databricks Data Engineer Professional?

Databricks, a cloud-based data engineering, data science, and analytics platform, offers the Databricks Certified Data Engineer Professional certification program. Using the Databricks Lakehouse Platform, the certification program aims to verify the abilities and expertise of people working in the data engineering industry. The certification test evaluates a person’s proficiency using the Databricks Lakehouse Platform to carry out data engineering tasks like setting up and managing data pipelines, processing structured and unstructured data, putting data security and access controls in place, and improving query performance.

Candidates can enrol in a preparation course, study materials, and practice examinations provided by Databricks or other third-party suppliers to prepare for the Databricks Certified Data Engineer Professional exam. The certification program is appropriate for data engineers, data architects, and other data specialists who work with huge amounts of data and want to specialize in using the Databricks platform.

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The Databricks Certified Data Engineer Professional certification exam assesses an individual’s ability to use Databricks to perform advanced data engineering tasks. This includes an understanding of the Databricks platform and developer tools like Apache Spark, Delta Lake, MLflow, and the Databricks CLI and REST API. In addition to preparing you for the exam, this Databricks Certification exam training material will skyrocket your chances of passing. Don’t let this opportunity pass you by. Purchase today and start preparing now.

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