Big Data Hadoop and Spark Developer

IBM-Banner-Data2
01
Mar
₹14,699.00

Our Big Data Hadoop certification training course lets you master the concepts of the Hadoop framework, Big Data tools, and methodologies to prepare you for success in your role as a Big Data Developer. Learn how various components of the Hadoop ecosystem fit into the Big Data processing lifecycle.
Intro Video:

Big Data Hadoop and Spark Developer

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).

Course Highlights(Same as features)

● 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

Course Delivery Method:

Online Bootcamp- 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.

Prerequisites:

Learners interested in taking this Big Data Hadoop and Spark Developer course should have a basic understanding of core Java and SQL.

Skills Covered:

● Data processing
● Functional programming
● Apache Spark
● Parallel processing
● Spark RDD optimization techniques
● Spark SQL

Tools Covered:

Apache Hadoop, Apache Spark

Who Will Benefit(Persona):

This Big Data Hadoop and Spark Developer course is best suited for the following professionals:
● Analytics, BI, 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

Key Learning Outcomes(same content can be used as in brochure no Seo implications):

● 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

Accreditations:

This Big Data Hadoop and Spark Developer course is aligned with the CCA Spark and Hadoop Developer Exam (CCA175).

Certification Criteria:

● 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

Course Content

Total learning: 1 lesson Time: 11 hours
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₹14,699.00