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twitterDatabricks founded in 2013 is an open-source community that is the brainchild of the founders of Apache Spark, Delta Lake, and MLflow. This platform is sought as one of the first lakehouse platforms that was formed due to the result of the combination of data warehousing and data lakes. Databricks training platform is an open platform that is unified and recognised for artificial intelligence.
The organization is headquartered in San Francisco with different offices in the global space. It also has tons of global partners which include Capgemini, Microsoft, Amazon, Informatica, Tableau, and Booz Allen Hamilton. Since Databricks courses are built using an open source thus it can help simplify data estate by eliminating the silos which have been known to often complicate artificial intelligence and data.
Databricks Overview
One unified platform
Data is always under control
Can help businesses scale up
Resource library with videos
Network with data practitioners
Trusted by more than 9,000 organisations
Databricks Courses
Databricks is trusted by more than 7,000 organizations worldwide including ABN AMRO, Condé Nast, H&M Group, Regeneron, and Shell to offer skill development programmes in data engineering, data science, machine learning, and business analytics. Databricks was introduced with the aim of simplifying data and AI and helping data teams solve the world’s toughest problems by providing easy solutions.
Popular Certification Courses Offered by Databricks
Databricks - Collaborations and Accreditations
Databricks has an ecosystem of partners that reaches over 600 globally which is held responsible for building and delivering some of the best data and AI solutions in the whole world which caters to the joint community enrolled for the Databricks courses. With the Databricks certification courses and their collaborations, there is continuous commitment and investment in the training, field programs, solution development, and workshops for customers.
Databricks Industry Partnerships
Globally Databricks has over 1200+ partners that offer different kinds of services in the field of data, analytics, and Artificial Intelligence making use of the Databricks Lakehouse Platform. All these top-level industry partners will enable the participants to leverage Databricks for unifying all the workloads, and data related to artificial intelligence that can be of more meaning.
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FAQS
Q1. Are all Databricks courses free?
Ans: Mostly the courses on Databricks are not free of cost. Depending upon the content, and the duration the prices are charged.
Q2. When was Databricks founded?
Ans: The Databricks training company was founded in the year 2013.
Q3. Who is the founder of Databricks certification courses?
Ans: Databricks courses were founded by Ion Stoica, Matei Zaharia, Ali Ghodsi, and Reynold Xin, the founders of Apache Spark.
Q4. Who are the cloud partners of Databricks courses?
Ans: AWS, Microsoft, and Azure are the cloud partners of Databricks.
Q5. How to contact Databricks in case of any requirement?
Ans: On the official website of Databriks, one may land on the contact us form through which they can be contacted in case of queries related to Databricks training courses.
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About Databricks
Databricks is an open source community which was founded in 2013 by the founders of Apache Spark, Delta Lake and MLflow. It is considered as the world’s only and first lakehouse platform which was formed as a result of the combination of data warehousing and data lakes with the aim of offering an open and unified platform for data and Artificial Intelligence. Databricks is trusted by more than 7,000 organizations worldwide including ABN AMRO, Condé Nast, H&M Group, Regeneron and Shell to offer skill development programmes in data engineering, data science, machine learning and business analytics. The organization is mainly headquartered in San Francisco. It has various other offices globally having hundreds of global partners, including Microsoft, Amazon, Tableau, Informatica, Cap Gemini and Booz Allen Hamilton. Databricks was introduced with the aim of simplifying data and AI and helping data teams to solve the world’s toughest problems by providing easy solutions.
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