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We're here to help you find itHadoop Developer with Spark Course Overview
The Hadoop Developer with Spark course is designed to equip learners with the skills needed to build big data processing applications using Apache Hadoop and Apache Spark. It is an excellent pathway for those preparing for the CCA 175 certification, as it covers the necessary topics and provides hands-on experience. Throughout the course, participants will explore the Hadoop ecosystem, understand HDFS architecture, and work with YARN for resource management.
The course delves into the basics of Apache Spark, DataFrame operations, and Spark SQL for querying data, which are crucial for the CCA 175 certification. Learners will also gain practical knowledge of RDDs, data persistence, and Spark streaming, all of which are part of the CCA 175 exam syllabus. By the end of the course, participants will be proficient in writing, configuring, and running Spark applications, setting them on the path to becoming certified Hadoop professionals with a focus on Spark.
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Classroom Training price is on request
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Classroom Training price is on request
USD 199+
USD 19+
USD 59+
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Flexi FAQ'sFlexi Demo Video
Certainly! Here are the minimum required prerequisites for the Hadoop Developer with Spark course presented in bullet point format:
Please note that while prior experience with Hadoop or Spark is beneficial, it is not mandatory. This course is designed to introduce participants to Apache Hadoop and Spark, and it will cover the necessary components and tools throughout the training modules.
Learn big data processing with Hadoop and Spark - a course for IT professionals aiming to master scalable data solutions.
The Hadoop Developer with Spark course equips participants with comprehensive knowledge of data processing in the Hadoop ecosystem, including mastery of Apache Spark for real-time analytics.