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PySpark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This Training would help you to clear the CCA Spark and Hadoop Developer (CCA175) Examination. You will understand the basics of Big Data and Hadoop. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. You will also learn about RDDs, Spark SQL for structured processing, different APIs offered by Spark such as Spark Streaming, Spark MLlib. This course is an integral part of a Big Data Developer’s Career path. It will also encompass the fundamental concepts such as data capturing using Flume, data loading using Sqoop, a messaging system like Kafka, etc.
Spark Certification Training is designed by industry experts to make you a Certified Spark Developer. The PySpark Course offers:
Spark is one of the most growing and widely used tools for Big Data & Analytics. It has been adopted by multiple companies falling into various domains around the globe and therefore, offers promising career opportunities. In order to take part in these kinds of opportunities, you need a structured training that is aligned as per Cloudera Hadoop and Spark Developer Certification (CCA175) and current industry requirements and best practices.
Besides strong theoretical understanding, it is quite essential to have a strong hands-on experience. Hence, during Edureka’s PySpark course, you will be working on various industry-based use-cases and projects incorporating big data and spark tools as a part of the solution strategy.
Additionally, all your doubts will be addressed by the industry professional, currently working on real-life big data and analytics projects.
Spark Developer Using Python Certification
Edureka’s Apache Spark Developer using Python Certificate Holders work at 1000s of companies like
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