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 Hadoop Migration Architect certification exam assesses an individual’s ability to architect migrations from Hadoop to the Databricks Lakehouse Platform. This includes comparing and contrasting a legacy Hadoop platform with the Databricks Lakehouse Platform. It also includes the ability to architect the migration of data and the migration of code. 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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