Real-Time project-based training on Azure Databricks

In this azure data bricks classroom training in pune you will discover how to combine Azure Databricks with other Azure products like Azure Machine Learning, Azure Data Factory, and Azure Synapse Analytics.

This Azure Databricks training in pune is suitable for data professionals, data engineers, data scientists, and machine learning practitioners who wish to advance their knowledge in large data processing using Azure Databricks can enroll in our training program. You will have a portfolio of real-world projects to show prospective employers your talents once the program is through.

By working on several practical projects, our azure databricks training course in pune will give students hands-on experience with Azure Databricks. With the help of Azure Databricks, you will learn how to handle massive data and process it effectively. Data science, machine learning, and engineering are just a few of the disciplines our program covers; all of them have practical applications.

You will gain practical experience utilizing Azure Databricks to address real-world data problems through real-time project-based training. You will discover how to do machine learning operations, real-time streaming analytics, and data ingest, transformation, and analysis. This azure databricks certification training in pune includes how to set up databricks cluster and set up and configured you will gain knowledge on how to import data export and import data, task creation and job execution.

Key Features of Azure Databricks

Azure Databricks is a big data analytics platform that provides a range of features to support collaboration, scalability, performance, security, integration, machine learning, data engineering, and collaborative filtering.

Its collaborative environment allows teams to work together on projects using shared notebooks, version control, and team management. With its high scalability, Azure Databricks can scale from a single user to thousands of users, and from gigabytes to petabytes of data. It also supports auto-scaling to adjust cluster size based on demand.

Built on Apache Spark, Azure Databricks includes optimized libraries for machine learning, streaming, and graph processing, delivering high performance.

The platform offers security features such as network isolation, role-based access control, and encryption of data in transit and at rest. Additionally, Azure Databricks integrates with a range of Azure services, as well as third-party tools like Power BI and Tableau.

It also includes built-in machine learning libraries such as MLlib, TensorFlow, and Keras, as well as support for popular frameworks like PyTorch and scikit-learn. Furthermore, Azure Databricks offers features for data engineering such as ETL jobs, data pipelines, and data quality checks.

It also supports collaborative filtering, which is a technique used in recommendation systems to suggest items or content to users based on their preferences and behaviors.