Description

Enterprise Big Data Engineer Official Guide

The Enterprise Big Data Engineer Guide is an essential resource for professionals pursuing the Enterprise Big Data Engineer (EBDE®) certification. Part of the comprehensive Enterprise Big Data Framework curriculum, this guide equips learners with the knowledge and skills needed to excel in Big Data engineering. Accredited globally by APMG-International, the program ensures that professionals are prepared to navigate the complexities of Big Data architectures, technologies, and processes with a vendor-neutral perspective.

Certification Path

The Enterprise Big Data Engineer (EBDE®) certification program is the advanced level within the Enterprise Big Data Framework curriculum. To pursue the EBDE® certification, candidates must first complete the Enterprise Big Data Professional (EBDP®) certification as a prerequisite.

Building on the foundational knowledge gained in the EBDP® certification, the EBDE® certification elevates your skills to address more complex data engineering challenges. This certification equips professionals with the expertise needed to design, implement, and manage sophisticated Big Data systems, making certified individuals indispensable assets in today’s data-driven landscape.

What You'll Discover in the Guide

Big Data Engineering Techniques:
The guide offers a deep dive into Big Data engineering, covering critical areas like:

• Data Storage & Processing: Master techniques for managing vast datasets and understand the challenges and distributed systems concepts that underpin Big Data. Explore key technologies including Hadoop, HDFS, MapReduce, Hive, Pig, Spark, Kafka, Storm, and Flink.
• Data Governance: Learn about data quality, lineage, privacy, and security.
• Data Visualization & BI: Discover tools and strategies for creating impactful dashboards and reports.
• Machine Learning: Explore the integration of machine learning in Big Data environments.

Theory and Practical Application
The guide not only covers theoretical concepts but also provides practical applications using industry-standard tools like Hadoop, Spark, and Kafka. You'll learn how to apply your skills in real-world scenarios, solidifying your expertise in Big Data technologies.