Big Data Hadoop and Spark Developer Training Course
Overview
This course covers the concepts of the Big Data Hadoop framework and Hadoop ecosystem tools; distributed storage and processing; the basics of functional programming; Apache Hive; Apache Spark; and No SQL database. The course curriculum is aligned with the CCA Spark and Hadoop Developer Exam (CCA175).
Agenda
Key Learning Outcomes
- Learn how to navigate the Hadoop ecosystem and understand how to optimize its use
- Ingest data using Sqoop, Flume, and Kafka
- Implement partitioning, bucketing, and indexing in Hive
- Work with RDD in Apache Spark
- Process real-time streaming data
- Perform DataFrame operations in Spark using SQL queries
- Implement user-defined functions (UDF) and user-defined attribute functions (UDAF) in Spark
Course Outline
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Skills Covered
- Data processing
- Functional programming
- Apache Spark
- Parallel processing
- Spark RDD optimization techniques
- Spark SQL
Tools Covered
Apache Hadoop, Apache Spark
Key Features
Course Highlights
- 22 hours of online self-paced learning
- 52 hours of instructor-led training
- 4 industry-based course-end projects
- Interactive learning with integrated labs
- Curriculum aligned to Cloudera CCA175 certification exam
- Online, self-paced, video-based learning and live virtual classroom conducted by the industry’s leading big data coach. This course includes Simpliearn's Integrated lab platform
- Over 33,880 learners for this content
- Partner Ratings
Who can Attend
Audience Profile
This Big Data Hadoop and Spark Developer course is best suited for the following professionals:
- Analytics, Business Intelligence, IT, data management, and project management professionals
- Architects, software developers, and professionals working on mainframe and testing
- Aspiring data scientists and graduates looking to begin a career in big data analytics
- Learners who understand basic Core Java and SQL
Prerequisites
Learners interested in taking this Big Data Hadoop and Spark Developer course should have a basic understanding of core Java and SQL.
Course Trainers
Our Trainers:
We work with a pool of well-qualified and experienced trainers and facilitators. The trainer profile listed here is only one such example.
Once you are on our learning platform, you can choose to learn with multiple trainers of your choice.
Certification
Course Completion Certification Criteria:
An industry recognized course completion certificate will be issued by Simplilearn upon satisfying the following criteria. The certificate does not expire:
- Completion of at least 85 percent of online self-paced learning or attendance of one live virtual classroom
- A score of at least 75 percent in course-end assessment
- Successful evaluation in at least one project
Accreditations
This Big Data Hadoop and Spark Developer course is aligned with the CCA Spark and Hadoop Developer Exam (CCA175).
CCA175 Spark and Hadoop Developer Certification
The CCA175 exam fee is $295 and is not covered in this course fee.
- Number of Questions: 8–12 performance-based (hands-on) tasks on Cloudera Enterprise cluster.
- Time Limit: 120 minutes
- Passing Score: 70%
- Language: English
- Exam Question Format - Each CCA question requires you to solve a particular scenario. In some cases, a tool such as Impala or Hive may be used. In most cases, coding is required.
Re-Certification
This Big Data Hadoop and Spark Developer course is aligned with the CCA Spark and Hadoop Developer Exam (CCA175). The certification is valid for 2 years and learners need to re-appear for the exam to renew certification.