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QA Automation Testing Training

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QA Automation Course

QA Automation Testing Online Course

At TechJaga, we don’t just teach Databricks we turn you into a job-ready data engineer. Our Databricks Master Program is designed to help you build, design, and deploy real-world data pipelines used by modern enterprises.

This all-in-one program covers real-time & batch processing, multi-cloud integration, orchestration, CI/CD DevOps, Delta Lake, and machine learning on Databricks.

By the end of the program, you won’t just learn Databricks — you’ll be able to deliver complete, end-to-end data solutions that businesses rely on.

Who This Program Is For:
  • Data Engineers who want to master Spark + Delta Lake.
  • Cloud Engineers looking to expand into data platforms.
  • ML Engineers who want production-ready pipelines.
  • BI & Analytics professionals moving to the Lakehouse.
What You’ll Learn (Aligned With Our Real-World Architecture)
  • Data Ingestion – Work with CSV, XML, JSON, Nested JSON, Parquet, and real-time Kafka streams.
  • Orchestration – Automate end-to-end workflows using Apache Airflow and Databricks Workflows.
  • Multi-Cloud Integrations – Ingest, store, and process data across AWS S3, Azure ADLS, and Google Cloud Storage.
  • Medallion Architecture – Build robust Bronze → Silver → Gold pipelines using Delta Lake (RAW → STG → ENR).
  • Version Control & DevOps – Manage notebooks, CI/CD pipelines, and production deployments with GitHub.
  • Machine Learning – Train, track, and serve ML models using MLflow.
  • Analytics & Applications – Build Streamlit dashboards, integrate with Snowflake, and deliver insights to end users.
Why TechJaga Is Different
  • Only provider offering all key integrations (Kafka, Airflow, Snowflake, Streamlit, GitHub, MLflow).
  • Hands-on labs and real projects instead of theory-only training.
  • Real business use cases from insurance, banking, and retail.
  • Guidance on cluster optimization, monitoring, and production incidents.
  • End-to-end capstone project portfolio to showcase to employers.

Azure Databricks is a fast, easy, and collaborative analytics platform built on Apache Spark and fully optimized for Microsoft Azure. It enables data engineering, data science, machine learning, and analytics workloads at scale.

This training is ideal for Data Engineers, Data Scientists, Cloud Engineers, Developers, BI Analysts, and anyone who wants to build scalable data pipelines or work with Spark, Delta Lake, and ML workflows on Azure.

No prior Spark or cloud experience is required. Basic knowledge of Python or SQL is helpful, but the course starts from fundamentals and progresses to advanced topics.

This course prepares you for popular Databricks certifications, including:

  • Databricks Data Engineer Associate
  • Databricks Data Engineer Professional
  • Databricks Lakehouse Fundamentals
  • Azure Data Engineer (DP-203) – aligned modules

Yes, the training includes hands-on labs and real-world projects involving Delta Lake, ETL pipelines, streaming, orchestration, ingestion frameworks, and end-to-end Lakehouse architecture.

You will learn Spark fundamentals, data ingestion, Delta Lake, Azure Data Factory, Databricks Workflows, notebooks, MLflow tracking, optimization, CI/CD, and production-ready data engineering practices.

Yes, you will receive guided support to set up your Azure account and practice directly on Azure Databricks with real clusters and notebooks.

Most training programs include resume preparation, mock interviews, job assistance, interview questions, and project portfolio guidance to help you become job-ready.

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