Introduction to Big Data and Hadoop

Instructor-Led, In-Person, or Self-Paced

Netskill offers flexibility in learning modes to suit diverse corporate needs:

• Instructor-Led Training: Live online sessions led by certified industry experts with real-time Q&A and virtual labs.
• In-Person Training: On-site training sessions tailored to your organization’s goals with interactive group learning.
• Self-Paced Learning: Access training anytime, anywhere on the Netskill LMS, complete with videos, assessments, and certification.

All formats are supported by gamified content, quizzes, and knowledge checkpoints to keep learners engaged and ensure effective skill transfer.

Target Audience for Corporate Introduction to Big Data and Hadoop

This course is ideal for:

• IT Professionals looking to transition into data engineering or data analytics roles.
• Software Developers seeking to understand large-scale data processing frameworks.
• Data Analysts, BI professionals, and Database Administrators.
• Engineering teams working on cloud-based data infrastructure.
• Organizations preparing their workforce for digital transformation and data-driven culture.

What Are the Modules Covered

1. Introduction to Big Data
   • Characteristics of Big Data
   • Big Data challenges in enterprises
   • Use cases across industries
2. Understanding Hadoop Ecosystem
   • What is Hadoop?
   • Components: HDFS, MapReduce, YARN
3. HDFS: Hadoop Distributed File System
   • Architecture and data flow
   • Hands-on with commands and file operations
4. MapReduce Programming Model
   • Writing basic MapReduce programs
   • Job scheduling and optimization
5. Hive & Pig
   • Introduction to HiveQL
   • Working with Pig scripts for data transformation
6. HBase & NoSQL
   • Understanding HBase architecture
   • Real-time data access using HBase
7. Data Ingestion with Sqoop and Flume
   • Importing/exporting data from traditional databases
   • Streaming data ingestion techniques
8. Big Data on the Cloud
   • Hadoop on AWS/GCP/Azure
   • Using managed services like Amazon EMR
9. Project and Capstone Assignment
   • Real-world corporate data challenge
   • Application of all modules in a hands-on project

Importance of Introduction to Big Data and Hadoop Skills and Competencies for Employees

Big Data competencies are no longer optional—they're critical to thriving in the modern business ecosystem. With data being generated at exponential rates, organizations require skilled professionals who can:

• Handle massive volumes of structured and unstructured data.
• Build scalable and efficient data pipelines.
• Extract actionable business intelligence from raw data.

Upskilling your workforce in Big Data and Hadoop through Netskill’s corporate training ensures your organization is future-ready and digitally competent.

Netskill Approach to Introduction to Big Data and Hadoop

Why Choose Netskill as Your Training Partner?

• Multi-Mode Learning Access: Choose from Online, In-Person, or Self-Paced modes based on your team’s preferences and availability.
• Gamified Learning Outcomes: Engage employees with scenario-based simulations, data challenges, and rewards through the Netskill LMS. (Explore more on www.netskill.com)
• Expert Instructors: Courses are designed and delivered by professionals with deep experience in Big Data systems and Hadoop deployments.
• Corporate-Focused Curriculum: Designed specifically to meet enterprise needs, use cases, and data governance compliance.
• Hands-On Labs and Projects: Learners get to apply concepts in real-world scenarios that mirror industry projects.
• Certification: Learners receive an industry-recognized certificate upon completion, verifiable on Netskill LMS.

Highlight:

All modules are hosted on Netskill LMS—your learners get access to:

• Interactive video content
• Real-time assessments and quizzes
• Practice datasets and labs
• Final capstone project
• Certification of completion

Gamified Learning Outcomes (as per www.netskill.com)

• Achievement Badges for completing modules and quizzes
• Skill Points System tied to performance in hands-on labs
• Knowledge Boosters via timed challenges and scenario-based simulations
• Leaderboard Rankings to drive healthy competition across teams
• Instant Feedback and actionable insights through analytics on LMS dashboard