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 needing 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.
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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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