Big Data Engineering
Pre-configured Hadoop & Spark clusters — no installs, ready in seconds, on real infrastructure.
- Hadoop
- Spark
- Kafka
- Airflow
- Hive
- Trino
- PySpark
- HDFS
- YARN
- Spark SQL
₹1,699 for 3 months
One-time payment · access for 3 months · renew anytime after it ends.
Create your account to continue.
What's included
- Hands-on labs in pre-configured live environments
- Guided objectives with real datasets
- Jupyter notebooks and terminal access
- Reset and rerun environments until patterns stick
- Self-paced access — practice on your schedule
- Live Hadoop, Spark, and Kafka cluster access
What you can practice
Verth Labs supplies live environments and scenarios — you practice on your own or follow your institution's guidelines. We do not deliver lessons or instruction.
- Practice batch and streaming pipelines on distributed Hadoop and Spark clusters
- Run multi-stage Airflow DAGs on live infrastructure with realistic datasets
- Tune partitioning, joins, and performance on cluster workloads you control
- Build the same distributed patterns real data platform teams run day to day
Lab scenarios
Scenario titles you can open in live environments — practice independently, not as a taught course.
- HDFS & Hadoop ecosystem
- Spark fundamentals (PySpark)
- Spark SQL & DataFrames
- Kafka streaming producer/consumer
- Airflow DAG orchestration
- Hive data warehousing
- End-to-end batch ETL pipeline
- Partitioning & performance tuning
- Trino/Presto federated queries
What's inside every lab
Pre-configured environment
No installs, no version conflicts, no cloud billing setup — open a lab and start in seconds.
Real infrastructure
Actual clusters, cloud sandboxes, and Databricks workspaces — not simulations or mock consoles.
Scenario objectives + portfolio project
Structured lab scenarios and capstone work on the same stack real data teams use — you practice independently or with your institution.
Self-paced · reset & rerun
Practice on your schedule. Reset environments and retry until the patterns stick.
Frequently asked questions
- Do I need to install anything?
- No. Every lab runs in a pre-configured environment we host. Open a lab and start working — no local installs, no cluster setup, no dependency wrangling.
- Is this real infrastructure or a simulation?
- Real infrastructure. You work in live Hadoop clusters, cloud sandboxes, and Databricks workspaces — not mock consoles or simulated datasets.
- Can I access labs from outside India?
- Yes. Verth Labs is available worldwide. Pricing displays in INR for India and USD elsewhere, resolved automatically from your location.
- How fast does an environment start?
- Seconds. Environments boot pre-configured — you skip hours of setup and land directly in a ready-to-use lab.
- What will I build?
- Guided labs plus portfolio-ready projects on production-grade tools — pipelines, lakehouse flows, and cloud-native workflows you can discuss in interviews.
- What is your refund policy?
- You can request a full refund within 7 days of purchase, provided you have not launched the lab environment. If the platform was unavailable or provisioning failed, you get a full refund either way. Approved refunds reach your original payment method in 5–7 business days. Read the full terms here: Refund & Cancellation Policy
- Can I practice Cloud or Databricks later?
- Yes. Cloud, Databricks, and the Complete Suite are separate products, each bought as its own one-time purchase for the access period you choose. There is no in-account upgrade — you purchase the other product when you are ready, and each runs for its own access period.
- What if I need help before enrolling?
- Contact support@verthlabs.com — we will answer questions about Big Data Engineering and help you choose an access period.
Related learning paths
Cloud Data Engineering
Become job-ready for cloud data engineer roles — designing pipelines across AWS, Azure, and GCP.
Databricks Engineering
Master the lakehouse stack — Delta Lake, Unity Catalog, and production workflows on Databricks.
Complete Data Engineering Suite
Best valueEvery lab across big data, cloud, and Databricks — practice the full data engineering stack and build an end-to-end portfolio.
Full catalog access
Complete Data Engineering Suite
Every lab across big data, cloud, and Databricks — practice the full data engineering stack and build an end-to-end portfolio.
Explore the Complete SuiteReady to practice on real infrastructure?
Enroll for access to Big Data Engineering, or contact sales for bulk and institute pricing.