Databricks Certification and Trainings

The best Databricks certification depends on your career goals and experience level. However, the Databricks Certified Professional Data Engineer certification is generally considered to be the most valuable and sought-after certification by employers. This databricks certification validates your skills in designing, developing, and managing data engineering solutions on the Databricks platform. It covers a wide range of topics, including: Spark SQL and DataFrames Spark MLlib and Spark ML Databricks Lakehouse Architecture Databricks Pipelines and Jobs Databricks Security and Governance

The difficulty of a Databricks certification depends on your experience level and the specific certification you are pursuing. The Databricks Certified Professional Data Engineer certification is generally considered to be the most difficult, as it covers a wide range of topics in depth. However, all Databricks certifications are challenging, as they require a deep understanding of the Databricks platform and Spark programming. The exams are also designed to assess your ability to apply your knowledge to real-world problems.

Databricks is a platform as a service (PaaS). This means that Databricks provides the infrastructure and platform for users to build and run their own applications, but users do not need to manage the underlying infrastructure. Databricks provides a variety of features that make it a PaaS, including Managed infrastructure, Self-service, Integrated tools, and Security and governance.

Yes, Databricks is a good platform for ETL. It offers a number of features that make it a good choice for ETL workloads, including Scalability, Performance, Flexibility and Integrations

CloudThat is an authorized training partner of Databricks offering training courses that are curated by industry experts and delivered through certified Databricks instructors. We offer two in-demand Databricks trainings: Lakehouse Fundamentals: Building Data Foundations Data Engineering in Databricks