Azure Databricks Training | Azure Databricks Online Training

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Getting Started with Azure Databricks A
Beginner's Guide
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Introduction

• Azure Databricks is a robust data analytics and
  collaborative platform designed to simplify big
  data and machine learning workflows.
• Built on Apache Spark, it provides a seamless
  environment for data engineering, data science,
  and AI development. In this guide, we'll explore
  the essentials of Azure Databricks, its features,
  and how to get started without delving into
  coding.

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What is Azure Databricks?
Azure Databricks is a fully managed cloud-based
data analytics platform integrated with Microsoft
Azure.
Key Features of Azure Databricks

• Unified Workspace Combines data engineering,
  data science, and machine learning in a single
  collaborative environment.
• Scalability Automatically adjusts resources
  based on workloads.
• Real-Time Analytics Processes data in real-time
  for faster insights.

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Why Use Azure Databricks?
Azure Databricks streamlines workflows and
enhances collaboration between teams. Heres why
it's a preferred choice for organizations

• Simplified Big Data Processing Processes large
  datasets efficiently with Apache Spark's
  distributed computing capabilities.
• Faster Development Speeds up the development of
  machine learning models with preconfigured
  environments.
• Cost Efficiency Offers pay-as-you-go pricing,
  reducing operational costs.

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Setting Up Azure Databricks

• 1. Create an Azure Account
• To begin, sign up for an Azure account if you
  dont have one. Azure provides free credits for
  new users to explore its services.
• 2. Deploy an Azure Databricks Workspace
• Log into the Azure portal.
• Search for Databricks in the marketplace.

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Exploring the Azure Databricks Environment

• 1. Clusters
• Clusters form the backbone of Databricks. They
  allow you to execute code, process data, and
  perform computations. Clusters can be configured
  based on the workload and can auto-scale for
  efficiency.
• 2. Notebooks
• Notebooks are versatile tools that combine
  narrative text, code, and visualizations. For
  non-coding tasks, focus on the visual interface
  and tools provided.

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Key Applications of Azure Databricks

• 1. Data Engineering
• Azure Databricks enables the transformation of
  raw data into structured datasets. Its ETL
  (Extract, Transform, Load) capabilities simplify
  data pipelines.
• 2. Data Science and Machine Learning
• With prebuilt libraries and tools, Azure
  Databricks accelerates model development,
  training, and deployment.

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Conclusion

• Azure Databricks is a powerful platform that
  simplifies data analytics, engineering, and
  machine learning workflows. Its integration with
  Azure services and robust features make it an
  essential tool for businesses aiming to harness
  the potential of big data and AI.
• Whether you're a beginner or an experienced
  professional, Azure Databricks provides the tools
  and resources needed to drive innovation and
  achieve your data-driven goals.

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CONTACT

• Azure Databricks Online Training
• Flat no 205, 2nd Floor, NILGIRI Block, Aditya
  Enclave, Ameerpet, Hyderabad-16
• Visit www.visualpath.in
• Mobile No 91-9989971070
• E-Mail Id  online_at_visualpath.in

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THANK YOU
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