Apache Spark is an open-source, high-speed cluster computing solution for analysing enormous amounts of data. Spark is the most comprehensive tool, and many significant corporations have adopted it throughout the world. The Apache Spark and Scala Certification give attendees in-depth information and practical abilities to help them improve their Big Data Spark expertise. During this workshop, participants will learn about Spark and its ecosystem, Spark Streaming, Spark SQL, RDD, and Scala. This course will provide in-depth knowledge of the Scala programming language, YARN, HDFS, Sqoop, Flume, Spark GraphX, and Kafka messaging systems. Participants will receive a certificate if they pass the exam after finishing this session.
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APACHE SPARK AND SCALA TRAINING
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Duration & Study Mode:
Full time, Part-time, Evening and Weekends, Virtual online
Location:
London, Flexible online
Duration: 5 Days / 5 Weeks
Prerequisites
- There are no prerequisites for this course.
- Participants are recommended to have a fundamental understanding of Java, databases, query languages, and SQL.
What will you gain after this course
- Use Scala and Spark applications to work on projects.
- Learn about Scala classes and how to use them to match patterns.
- Learn how to use Python, Java, and Scala to create Spark applications.
Jobs you can get
with a Apache Spark and Scala
- Spark Scala Developer
- Data Platform Engineer
- Apache Spark Engineer
- Big Data Engineer
- Senior Business Analyst
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Who is this certification for?
- This course is for students interested in pursuing a career in Big Data.
- This course is also intended for:
- Senior IT Professionals
- DWProfessionals
- Data Scientists and Analytics Professionals
- Developers and Architects
- Testing Professionals
- Software Architects
- BI and ETL Professionals
- Engineers and Developers
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