- Anytime, Anywhere: Learn whenever it is convenient to you
- Learn through high quality presentations, quizzes, recordings of live classes; installation guide available in LMS
- Course content created using real life case studies and live project
- 24x7 customer support through email and ticket-based
- Lifetime access to online Learning Management System (LMS)
Apache Spark and Scala Certification Course Overview
Spark is one of the most popular Big Data & Analytics tools and expertise in Spark offers promising career opportunities. This Apache Spark and Scala Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This course is aligned to Cloudera Certified Associate Spark and Hadoop Developer Certification (CCA175) and current industry requirements and best practices. At the successful completion of the course, you will be provided with Apache Spark and Scala Developer certification. In addition, you will also be ready to take the Cloudera Certified Associate Spark and Hadoop Developer Certification Exam (CCA175).
This course is an integral part of a Big Data Developer’s Career path and it covers all essentials concepts related to Apache Spark. Besides strong theoretical understanding, this course will also provide you with strong hands-on experience. Throughout the course, you will be working on various industry-based use-cases and projects incorporating big data and spark tools as a part of solution strategy.
Additionally, all your doubts will be addressed by an expert instructor and industry professional, currently working on real life big data and analytics projects.
Course Objectives:
The Spark Scala Course offers:
- Overview of Big Data & Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator)
- Comprehensive knowledge of various tools that falls in Spark Ecosystem like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming
- The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
- The power of handling real time data feeds through a publish-subscribe messaging system like Kafka
- The exposure to many real-life industry-based projects which will be executed using CloudLab
- Projects which are diverse in nature covering banking, telecommunication, social media, and govenment domains
- Rigorous involvement of a SME throughout the Spark Training to learn industry standards and best practices