Learning Databricks helps you build strong expertise in the world’s leading Lakehouse data platform, used by top companies in finance, healthcare, retail, telecom, logistics, and cloud analytics. This training is ideal for anyone looking to start or grow a career in Data Engineering, Big Data, Cloud Data Analytics, or AI/ML pipelines.
Lakehouse platform for Data Engineering & Analytics
skilled Databricks Data Engineers
real-time, scalable big data pipelines
toward cloud data engineering roles
Databricks Online Training is the perfect program for learners who want to build strong skills in big data engineering, advanced analytics, Apache Spark, Delta Lake, and cloud‑based data processing. With increasing demand for Databricks Data Engineers, this Databricks Course helps you master the Databricks Lakehouse Platform through practical labs, real‑world data pipelines, and step-by-step guidance. This Databricks Training is ideal for students and professionals looking to build careers in data engineering, big data, and cloud analytics.
This Databricks Online Course covers the complete Databricks ecosystem including workspaces, clusters, notebooks, Delta Lake, Spark, ETL pipelines, SQL analytics, workflows, streaming, MLflow, and cloud integrations. You will learn to build end‑to‑end data engineering pipelines, perform large-scale data processing, manage Delta tables, automate jobs, and analyze data using Databricks SQL.
Students & job seekers
Aspiring data engineers
Big data developers
Python & SQL developers
Cloud engineers
ETL developers
Analytics professionals
Anyone preparing for Databricks certifications
What is Databricks?
Databricks Lakehouse architecture
Databricks workspace & components
Databricks notebooks overview
Spark architecture
RDDs, DataFrames, Datasets
Transformations & actions
Spark SQL basics
Running Python, SQL & Scala
Magic commands
Visualizations in notebooks
Git integration using Databricks Repos
What is Delta Lake?
Creating and managing Delta tables
Schema enforcement & evolution
Time travel & versioning
MERGE, UPDATE, DELETE operations
ETL & ELT pipelines
Data ingestion with Auto Loader
COPY INTO ingestion
Data validation & quality checks
Basics of structured streaming
Streaming sources & sinks
Windowing & watermarking
Real-time dashboards
SQL Warehouses
Running SQL queries
Building dashboards
Connecting to BI tools
Using MLflow for experiment tracking
Training ML models
Model registry & deployment
Scheduling jobs
Multi-task workflows
Monitoring job execution
Databricks on AWS
Databricks on Azure
Databricks on GCP
Connecting S3 / ADLS / GCS storage
User & workspace management
Secrets & permissions
Cluster policies
End-to-end ETL pipeline
Delta Lake implementation
Spark processing
SQL dashboard creation
Databricks Data Engineer
Spark Developer
Big Data Engineer
Cloud Data Engineer
ETL Developer
Analytics Engineer
Real-time Databricks project implementation
Hands-on training with cloud datasets
Experienced data engineering trainers
Full practical Databricks workspace usage
Certification preparation support
Job assistance & mock interviews
Structured modules from basics to advanced
Access to recorded sessions + study materials
Yes, this Databricks course starts from fundamentals and goes step-by-step to advanced modules.
Yes, you will build a complete end-to-end data engineering project.
Yes, this training prepares you for roles like Databricks Data Engineer, Spark Developer, and Big Data Engineer.
Yes, AWS, Azure, and GCP Databricks concepts are included.
Yes, guidance for Databricks certification is provided.
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Mr. Ashok Bollepalli, the visionary behind Ashok IT, brings a wealth of experience in Information Technology. With a commitment to excellence and innovation, he has established Ashok IT as a leader in software training, dedicated to equipping the next generation of tech professionals with the skills needed to succeed.
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