Databricks Certified Associate Developer for Apache Spark 3 Course that will give you more understanding On Spark
Sub Category
- IT Certifications
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Objectives
- Understanding Apache Spark: Gain a solid understanding of big data processing and the advantages of Apache Spark over traditional data processing frameworks.
- Spark Architecture: Learn about the architecture and components of Apache Spark, including Spark Core, Spark SQL
- Spark's Resilient Distributed Datasets (RDDs), and understand transformations and actions in Spark.
- Spark SQL and DataFrames: Explore Spark SQL and its features, work with DataFrames and datasets
Pre Requisites
- While no prior knowledge of Apache Spark is required, a basic understanding of programming concepts and familiarity with a programming language (such as Python or Scala) will be beneficial. Additionally, a fundamental understanding of data processing and analysis concepts will help in grasping the material more effectively.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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