Data Engineering Training in Abuja Nigeria

Godstime Edet
Godstime Edet
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About Course

Click Here to Register for the Data Engineering Training in Abuja Nigeria

OVERVIEW – DATA ENGINEERING TRAINING IN ABUJA

The Data Engineering Training at Neo Cloud Training Institute immerses students in both fundamental and advanced concepts critical to the data engineering field. Key topics covered include programming languages such as Python and SQL, data modeling, data warehousing techniques, big data technologies like Hadoop and Spark, and cloud computing essentials. Additionally, students will learn to build efficient data pipelines using tools like Apache Airflow and Kafka, while understanding data governance and security principles.

In today’s digital landscape, organizations manage vast amounts of structured and unstructured data, necessitating skilled data engineers who can design and maintain robust data infrastructure. Data engineering is essential for transforming raw data into meaningful insights, ensuring seamless data flow, and facilitating effective decision-making across various industries. This discipline combines elements of computer science, software engineering, and database management, enabling professionals to build scalable solutions that meet the growing demands of data processing and analysis.

The role of a data engineer is increasingly vital, as businesses seek individuals who can manage large datasets and ensure data integrity, availability, and security. By developing a solid foundation in data engineering principles, students will be well-prepared to address real-world challenges and contribute to data-driven initiatives.

OBJECTIVES OF THE COURSE

The primary goal of this program is to equip students with the necessary skills and knowledge to meet the increasing demand for proficient data engineers on both national and global scales.

The overarching objectives are to:

  • Provide comprehensive training in programming, database management, and data pipeline construction, enabling students to design and implement effective data solutions.
  • Foster adaptability to evolving industry trends and technologies, ensuring students remain competitive in the job market.
  • Empower students to understand the practical applications of various data engineering methodologies and the reasoning behind their use.
  • Expose students to real-world scenarios through hands-on projects and experiential learning, bridging the gap between theory and practice

WHO NEEDS THIS COURSE?

This course is ideal for aspiring data engineers, including data analysts, software developers, computer scientists, database administrators, and IT professionals. Additionally, anyone interested in transitioning into the data engineering field or enhancing their data management skills will benefit from this comprehensive training.

DURATION/COST

  • Months: 3
  • Total Classes: 48
  • Total Hours: 108
  • Days: 3 days per week

DETAILED COURSE CONTENT

Neo Cloud Technologies offers a comprehensive Data Engineering training course that combines practical and theoretical knowledge.

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What Will You Learn?

  • In this course, you’ll master core data engineering skills, from building data pipelines and handling big data with Hadoop and Spark to creating cloud-based data solutions. You’ll learn data modeling, warehousing, and governance essentials, gaining practical expertise to design scalable, secure data architectures. This program equips you with the tools to become a valuable, skilled Data Engineer

Syllabus

WEEK1: INTRODUCTION TO DATA ENGINEERING

  • What is Data Engineering?
    00:00
  • Role of a Data Engineer
    00:00
  • Data Ecosystems
    00:00
  • Data Pipelines and Workflows
    00:00
  • Introduction to Database Systems
    00:00
  • Tools and Technologies in Data Engineering
    00:00
  • Case Studies and Real-World Applications
    00:00

WEEK2: PROGRAMMING FOR DATA ENGINEERING (Python, SQL)

WEEK3:DATA MODELING AND DATABASE DESIGN

WEEK4: DATA WAREHOUSING CONCEPTS

WEEK5: BIG DATA TECHNOLOGIES (Hadoop, Spark)

WEEK6: BUILDING DATA PIPELINES (Apache Airflow, Kafka)

WEEK7: CLOUD DATA ENGINEERING (AWS or Azure or Google Cloud)

WEEK8: DATA GOVERNANCE AND SECURITY

WEEK9: DATA QUALITY AND ETL PROCESSES

WEEK10: INDUSTRY PROJECT

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