Wiley Certified Data Engineering Specialist

Introduction

The Wiley Certified Data Engineering (WCDE) program is designed to make learners thoroughly conversant with Big Data-related tools, platforms, and their architecture which organizations use to store, manage and process huge volumes and a variety of data competently. At the same time, the program will also help learners become deeply aware of the required business and industry know-how to integrate, implement, customize, and manage a Big Data infrastructure effectively.

Learners have access to several labs, datasets, a lab environment as well a capstone project, and an entire suite course with videos, assessments, and several other assets, as well as a certification and digital badge, post passing a certification examination.

Organization

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No Topic Topic Description
1 INTRODUCTION TO BIG DATA
  • Give an overview of Big Data
  • Discuss the broad business application of Big Data
  • Explain the technology infrastructure that is required to store, handle, and manage Big Data
  • Describe how the popular frameworks of Hadoop 2, MapReduce 2 and Yarn support Big Data Management
2 STORING & PROCESSING DATA IN HADOOP
  • Analyze Hadoop’s data storage model with HDFS and HBase
  • Develop basic MapReduce programs
  • Leverage MapReduce extensibility for customizing execution
  • Test and debug a MapReduce program in the design time
  • Develop YARN application, define role of YARN in Hadoop 2, and configure scheduling in YARN
3 HIVE & PIG
  • Discuss the Hive data storage principle
  • Perform operations with data in Hive
  • Implement Advance Query features of Hive
  • Explain the File formats and Records formats supported by the Hive environment
  • Use Pig to automate the design and implementation of MapReduce applications
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