Databricks Certified Associate Developer for Apache Spark Course Overview

Databricks Certified Associate Developer for Apache Spark Course Overview

The Databricks Certified Associate Developer for Apache Spark course is designed to equip learners with essential skills for data processing and analytics using Apache Spark. Throughout the course, participants will explore key concepts such as Spark architecture, data frames, and transformations, enhancing their ability to build scalable data solutions.

The primary learning objectives include understanding Spark programming, effectively working with structured data, and implementing machine learning models. Practical applications of these concepts ensure that learners can handle real-world data problems confidently. By the end of this course, participants will be well-prepared for the certification exam and ready to tackle data challenges in their professional environments.

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850

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Course Fee 850
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850 (USD)
  • Live Training (Duration : 16 Hours)
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  • Classroom Training fee on request

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  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Prerequisites for Databricks Certified Associate Developer for Apache Spark Course


To ensure a successful learning experience in the Databricks Certified Associate Developer for Apache Spark course, we recommend the following minimum prerequisites:


  • Basic understanding of programming concepts and familiarity with at least one programming language (preferably Python or Scala).
  • Fundamental knowledge of data processing and data analysis principles.
  • Experience with SQL and relational databases.
  • Basic understanding of distributed computing concepts.

These prerequisites will help you grasp the course content more effectively, but don't worry if you're new to some of these topics – our course is designed to support learners at various levels!


Target Audience for Databricks Certified Associate Developer for Apache Spark

The Databricks Certified Associate Developer for Apache Spark course equips learners with the skills to develop Spark applications and prepare for certification, targeting data professionals and developers.


  • Data Engineers
  • Data Scientists
  • Software Developers
  • Business Intelligence Analysts
  • Machine Learning Engineers
  • System Administrators
  • Cloud Engineers
  • Solutions Architects
  • Database Administrators
  • DevOps Engineers
  • IT Managers
  • Analytics Consultants


Learning Objectives - What you will Learn in this Databricks Certified Associate Developer for Apache Spark?

Introduction

The Databricks Certified Associate Developer for Apache Spark course equips learners with essential skills in Apache Spark, focusing on fundamental concepts and hands-on practices necessary for effective data processing and analytics.

Learning Objectives and Outcomes

  • Understand the core concepts of Apache Spark architecture and its components.
  • Develop proficiency in using Spark DataFrames and Spark SQL for data manipulation.
  • Implement data ingestion techniques from various data sources.
  • Explore machine learning libraries within Spark for predictive analytics.
  • Develop expertise in writing efficient Spark applications using Scala or Python.
  • Gain the ability to debug and optimize Spark applications for performance.
  • Learn how to manage and deploy Spark applications in Databricks.
  • Understand best practices for data processing and ETL workflows using Spark.
  • Gain familiarity with Databricks notebooks for interactive data analysis.
  • Prepare for the Databricks Certified Associate Developer for Apache Spark exam.

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