Azure Databricks Data Engineer Associate DP-750 Course Overview

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Azure Databricks Data Engineer Associate DP-750 Course Outline

Module 1: Explore Azure Databricks

  • Introduction
  • Get Started with Azure Databricks
  • Identify Azure Databricks Workloads
  • Understand Key Concepts
  • Data Governance Using Unity Catalog and Microsoft Purview
  • Exercise - Explore Azure Databricks

Module 2: Understand Azure Databricks Architecture

  • Introduction
  • Understand Azure Databricks Architecture
  • Understand Unity Catalog Managed Storage
  • Understand External Storage
  • Understand Default Storage (Serverless Compute)

Module 3: Understand Azure Databricks Integrations

  • Introduction
  • Understand Integration with Microsoft Fabric
  • Understand Integration with Power BI
  • Understand Integration with VS Code
  • Understand Integration with Power Platform
  • Understand Integration with Copilot Studio
  • Understand Integration with Microsoft Purview
  • Understand Integration with Microsoft Foundry

Module 4: Select and Configure Compute in Azure Databricks

  • Introduction
  • Choose an Appropriate Compute Type
  • Configure Compute Performance
  • Configure Compute Features
  • Install Libraries for Compute
  • Configure Compute Access
  • Exercise - Select and Configure Compute in Azure Databricks

Module 5: Create and Organize Objects in Unity Catalog

  • Introduction
  • Apply Naming Conventions
  • Create Catalog
  • Create Schema
  • Create Tables and Views
  • Create Volumes
  • Implement DDL Operations
  • Implement Foreign Catalog
  • Configure AI/BI Genie Instructions
  • Exercise - Create and Organize Objects in Unity Catalog

Module 6: Secure Unity Catalog Objects

  • Introduction
  • Understand Query Lifecycle
  • Implement Access Control Strategies
  • Understand Fine-Grained Access Control
  • Implement Row Filtering and Column Masking
  • Access Azure Key Vault Secrets
  • Authenticate Data Access with Service Principals
  • Authenticate Resource Access with Managed Identities
  • Exercise - Secure Unity Catalog Objects

Module 7: Govern Unity Catalog Objects

  • Introduction
  • Create and Preserve Table Definitions
  • Configure ABAC with Tags and Policies
  • Apply Data Retention Policies
  • Set Up and Manage Data Lineage
  • Configure Audit Logging
  • Design Secure Delta Sharing Strategy
  • Exercise - Govern Unity Catalog Objects

Module 8: Design and Implement Data Modeling with Azure Databricks

  • Introduction
  • Design Ingestion Logic and Data Source Configuration
  • Choose a Data Ingestion Tool
  • Choose a Data Table Format
  • Design and Implement a Data Partitioning Scheme
  • Choose a Slowly Changing Dimension (SCD) Type
  • Implement a Slowly Changing Dimension (SCD) Type 2
  • Design and Implement a Temporal (History) Table to Record Changes over Time
  • Choose Granularity on a Column or Table Based on Requirements
  • Choose Managed vs. Unmanaged Tables
  • Design and Implement a Clustering Strategy
  • Exercise - Design and Implement Data Modeling with Azure Databricks

Module 9: Ingest Data into Unity Catalog

  • Introduction
  • Ingest Data with Lakeflow Connect
  • Ingest Data with Notebooks
  • Ingest Data with SQL Methods
  • Ingest Data with CDC Feed
  • Ingest Data with Spark Structured Streaming
  • Ingest Data with Auto Loader
  • Ingest Data with Lakeflow Spark Declarative Pipelines
  • Exercise - Ingest Data into Unity Catalog

Module 10: Cleanse, Transform, and Load Data into Unity Catalog

  • Introduction
  • Profile Data
  • Choose Column Data Types
  • Resolve Duplicates and Nulls
  • Transform Data with Filters and Aggregations
  • Transform Data with Joins and Set Operators
  • Transform Data with Denormalization and Pivots
  • Load Data with Merge, Insert, and Append
  • Exercise - Cleanse, Transform, and Load Data into Unity Catalog

Module 11: Implement and Manage Data Quality Constraints with Azure Databricks

  • Introduction
  • Implement Validation Checks
  • Implement Data Type Checks
  • Detect and Manage Schema Drift
  • Manage Data Quality with Pipeline Expectations
  • Exercise - Implement and Manage Data Quality Constraints with Azure Databricks

Module 12: Design and Implement Data Pipelines with Azure Databricks

  • Introduction
  • Design Order of Operations for a Pipeline
  • Choose Notebook vs. Lakeflow Pipelines
  • Design Lakeflow Job Logic
  • Design Error Handling in Pipelines and Jobs
  • Create Pipeline with Notebook
  • Create Pipeline with Lakeflow Spark Declarative Pipelines
  • Exercise - Design and Implement Data Pipelines with Azure Databricks

Module 13: Implement Lakeflow Jobs with Azure Databricks

  • Introduction
  • Create Job Setup and Configuration
  • Configure Job Triggers
  • Schedule a Job
  • Configure Job Alerts
  • Configure Automatic Restarts
  • Exercise - Implement Lakeflow Jobs with Azure Databricks

Module 14: Implement Development Lifecycle Processes in Azure Databricks

  • Introduction
  • Apply Git Version Control Best Practices
  • Manage Branching and Pull Requests
  • Implement Testing Strategy
  • Configure and Package DABs
  • Deploy Bundle with Databricks CLI
  • Exercise - Implement Development Lifecycle Processes in Azure Databricks

Module 15: Monitor, Troubleshoot, and Optimize Workloads in Azure Databricks

  • Introduction
  • Monitor and Manage Cluster Consumption
  • Troubleshoot and Repair Lakeflow Jobs
  • Troubleshoot Spark Jobs and Notebooks
  • Investigate Caching, Skewing, Spilling, and Shuffle
  • Implement Log Streaming with Azure Log Analytics
  • Exercise - Monitor, Troubleshoot, and Optimize Workloads in Azure Databricks
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Who Should Attend this Azure Databricks Data Engineer Associate DP-750 Course?

This course is designed for professionals looking to build expertise in data engineering using Azure Databricks. It is suitable for individuals aiming to develop skills in data pipelines, processing, and governance. Delegates who will benefit from this training include:

  • Data Engineer
  • Data Analyst
  • Cloud Engineer
  • BI Developer
  • ETL Developer
  • Database Administrator
  • Software Engineer
  • IT Professional

Prerequisites for this Azure Databricks Data Engineer Associate DP-750 Course

There are no formal prerequisites for this course. However, a basic understanding of data concepts, SQL, and cloud computing will be beneficial.

Azure Databricks Data Engineer Associate DP-750 Course Overview

The Azure Databricks Data Engineer Associate DP-750 Training provides delegates with a comprehensive understanding of data engineering processes using Azure Databricks. It focuses on data ingestion, transformation, governance, and pipeline development.

This training helps delegates build practical skills in managing data workflows, ensuring data quality, and optimising performance. It supports improved efficiency, scalability, and governance in data-driven environments.

This 4-Day course offered by The Knowledge Academy enables delegates to apply data engineering techniques effectively. Delegates gain the confidence to design and manage robust data solutions in real-world scenarios.

Azure Databricks Data Engineer Associate DP-750 Course Objectives

  • To understand Azure Databricks architecture and core data engineering concepts
  • To design and implement data ingestion processes and ETL pipelines
  • To manage and transform data using Unity Catalog and Spark frameworks
  • To apply data governance, security, and access control strategies
  • To automate workflows and manage data pipeline execution efficiently
  • To monitor, troubleshoot, and optimise data processing workloads

Upon completion of this Azure Databricks Data Engineer Associate DP-750 Course, delegates will be able to build and manage data pipelines effectively. They will also enhance their ability to process, govern, and optimise data workflows in Azure environments.

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What's Included in this Azure Databricks Data Engineer Associate DP-750 Course?

  • World-Class Training Sessions from Experienced Instructors
  • Azure Databricks Data Engineer Associate DP-750 Certificate
  • Interactive Learning with 24*7 Support
  • Digital Delegate Pack
     
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
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Train Your Workforce

Looking for Azure Databricks Data Engineer Associate DP-750 Course in-house or onsite training in New Delhi? We specialise in corporate group training and bulk bookings for organisations of all sizes in New Delhi. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling to train your team.

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New Delhi is one of the districts within Delhi, as well as it being the capital city of India, it is also the home to the Government of the National Capital Territory of Delhi and some of the branches of the Government of India, these being the judiciary, executive and legislative branches and is also home to around 249,998 people. The capital of India - New Delhi was initiated within 1931 by Viceroy Lord Irwin however formed during 1911 by George V, who was the King of the United Kingdom as well as the Emperor of India and his British architects Sir Herbert Baker and Sir Edwin Lutyens formed the foundation stone and announced the capital city of India would be changed. The primary schools and secondary schools within New Delhi are either run privately or by the government and as of 2004 to 2005 there was around 1.5 million students going through the educational system within 2416 primary schools, 822,00 students in 715 middle schools and 669,000 students in 1576 secondary schools and around 500,000 students within 165 universities and colleges. All universities are either state, deemed or central universities, The top universities within New Delhi are the Jamia Millia Islamia, the University of Delhi, Indian Statistical Institute, National Law University, Jawaharlal Nehru University, Guru Gobind Singh Indraprastha University, Ambedkar University Delhi, Jamia Hamdard, Delhi Technological University – which is the first Engineering college within Delhi and one of the oldest in India, the Indira Gandhi National Open University is the largest national university in the world with over 4 million students, New Delhi is also home to the Indian Agricultural Research Institute, Pusa, New Delhi, Premier institute for agricultural research and education in India. The university courses and programs can offer different types of degrees such an undergraduate and post graduate courses, Bachelor courses and Scholarships, New Delhi prides itself on its premier institutions as the teaching and researching they do means that within 2011 the census recorded the literacy rate for females as 80.9% and for males it was slightly higher at 91.0% with an overall literacy rate of 86.3%. Subjects within the different universities can include, social sciences, engineering, humanities, technology, sports, law, social work, arts, management, education, computer information technology, foreign languages, mathematical science, dentistry and medical. 

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Experience the most sought-after learning style with The Knowledge Academy's Azure Databricks Data Engineer Associate DP-750 Course Course. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Azure Databricks Data Engineer Associate DP-750 Course sessions.

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Package deals for Azure Databricks Data Engineer Associate DP-750 Course in New Delhi

Our training experts have compiled a range of course packages on a variety of categories in Azure Databricks Data Engineer Associate DP-750 Course, to boost your career. The packages consist of the best possible qualifications with Azure Databricks Data Engineer Associate DP-750 Course, and allows you to purchase multiple courses at a discounted rate.

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We are able to provide support via phone & email prior to attending, during and after the course.

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Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments

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This course is [ ] day(s)

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Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts

Which is the best training institute/provider of Azure Databricks Data Engineer Associate DP-750 Course in New Delhi?

The Knowledge Academy is one of the Leading global training provider for Azure Databricks Data Engineer Associate DP-750 Course.

What are the best Microsoft Azure Certification courses in New Delhi?

Please see our Microsoft Azure Certification courses available in New Delhi

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