Bigdata Engineering 101 Guide and RoadMap with Hitesh Ahuja

Why You Should Opt for the Big Data Engineering 101 Guide & Roadmap

Feeling overwhelmed by the vast Big Data world? Don’t worry — we’ve broken it down for you!

Our Big Data Engineering 101 Guide & Roadmap will give you complete clarity on what to learn, in what order, and how to build a strong career foundation.

What’s included in this guide & roadmap:

✅ Big Data fundamentals explained in simple terms — What is Big Data, why it’s important, and how companies use it.

✅ Clear role definitions — Understand the difference between Data Engineer, Big Data Developer, and Cloud Data Engineer.

✅ Tech stack breakdown —

• Core: Spark, Hadoop, Hive, HDFS
• Programming: Scala or Python
• Data handling: SQL, NoSQL (MongoDB, Cassandra)
• Cloud: AWS, GCP, Azure Big Data services
• ✅ Learning roadmap (Beginner → Intermediate → Advanced) — Detailed weekly learning plan and resource suggestions.
• ✅ Project ideas — Real-world project topics with guidance on how to build and showcase them on GitHub.
• ✅ Certification guidance — Which certifications are actually valued in the industry.
• ✅ Interview preparation checklist — Topics to master before you sit for any Big Data interview.
• ✅ Career path suggestions — Data Engineering → Lead Engineer → Data Architect roadmap explained.

Why this is perfect for you:

⭐ If you’re starting fresh and don’t know where to begin

⭐ If you’re switching from support, testing, ETL, or other roles and feel lost

⭐ If you need a structured roadmap rather than random YouTube videos

⭐ If you want clarity on projects, certification, and interview prep