Delta Analytics

What you'll learn

Introduction to Databricks - Gain a comprehensive introduction to Databricks, its architecture, and its role in data processing and analytics.
Databricks Workspace and Clusters - Learn how to navigate the Databricks workspace and set up clusters that provide the computational power needed for data tasks.
Data Ingestion and Processing - Master techniques for ingesting data from various sources and learn the fundamentals of data processing using Databricks.
Data Exploration and Visualisation - Get skilled at using Databricks for data exploration and visualisation to uncover insights from data.
Advanced Data Analytics - Understand the tools and practices for managing data governance and ensuring compliance within the Databricks environment.
Data Governance and Compliance - Learn to build, tune, and deploy machine learning models efficiently using Databricks' MLlib and MLflow.
Pipeline Orchestration and Automation - Master the art of orchestrating and automating data pipelines to streamline workflows and increase efficiency.
Real-World Applications and Capstone Project - Apply the skills you’ve learned to real-world data challenges in the Capstone Project, integrating all aspects of the Databricks platform.
Each module is designed to build upon the last, ensuring that by the end of the course, participants are fully equipped to implement Databricks solutions in their own projects and work environments.

Instructor

Hussein A. Hussein

Meet Hussein, a top-notch Sr. Data Engineer and Solution Architect with a wealth of experience and a collection of 8 Microsoft and 3 DataBricks certifications to his name. His expertise stretches from traditional SQL to the latest in Azure cloud technology, making him a go-to expert for building efficient cloud solutions. What sets Hussein apart isn’t just his technical skill but also his passion for teaching. He loves helping people find their footing in the fast-paced world of data, breaking down complex topics into easy-to-understand lessons. If you’re eager to dive into the data field or boost your skills, Hussein's engaging teaching style and practical insights are here to help you succeed. Join him and start your journey to a rewarding data career today.

About this course

This Azure Databricks course offers an in-depth exploration of the cloud-based data processing platform, designed to provide you with both theoretical knowledge and practical skills. Over the course of eight weeks, you will delve into every major aspect of Azure Databricks, from setting up and managing clusters to data ingestion, processing, and visualisation. The course structure ensures a progressive build-up of skills, culminating in a comprehensive capstone project that will have you apply what you've learned to real-world data challenges. Guided by an expert with extensive industry experience, this course is ideal for those aspiring to become proficient in data engineering and analytics.

Syllabus

Module 1 - Introduction to Databricks

Kickstart your learning journey with a comprehensive introduction to Databricks, focusing on its architecture and pivotal role within cloud ecosystems such as Azure and AWS. Understand the foundational elements of Databricks and how it integrates seamlessly with various cloud services, setting the stage for more advanced explorations.

Module 2 - Databricks Workspace and Clusters

Dive deeper into the functionalities of the Databricks workspace. Learn how to efficiently set up and manage computational clusters that form the backbone of data processing tasks. This module covers practical aspects of configuring and maintaining these clusters, ensuring optimal performance and scalability.

Module 3 - Data Ingestion and Processing

Master the techniques of data ingestion using various formats and methods. This module focuses on the practical skills required to import, store, and preprocess data within the Databricks platform, preparing you for sophisticated data manipulation and analysis tasks.

Module 4 - Data Exploration and Visualisation

Explore the powerful data exploration and visualisation capabilities of Databricks. Learn to leverage built-in tools to uncover and illustrate insightful data patterns and trends. This module equips you with the skills to create compelling data stories that communicate results effectively to stakeholders.

Module 5 - Advanced Data Analytics

Delve into advanced analytics techniques that Databricks supports, from predictive modelling to deep learning. Understand how to apply statistical analysis and machine learning models to solve complex data problems, enhancing your ability to deliver impactful data-driven solutions.

Module 6 - Data Governance and Compliance

This module addresses the crucial aspects of data governance and regulatory compliance within the Databricks environment. Learn to implement robust data security measures, manage data privacy, and ensure your data processes comply with legal standards, thereby safeguarding your organization's data assets.

Module 7 - Pipeline Orchestration and Automation

Gain expertise in orchestrating and automating data pipelines to enhance efficiency and reliability of data workflows. This module teaches you to design and implement automation scripts and workflows that streamline operations and reduce manual intervention in the data lifecycle.

Module 8 - Real-World Applications and Capstone Project

Apply everything you have learned in a culminating Capstone Project. This final module challenges you to solve real-world data problems using the Databricks platform, integrating your skills in data ingestion, processing, analytics, and visualisation to produce a comprehensive data-driven project.

Projects

Project 1: Building a Basic Data Pipeline in Databricks

Kickstart your journey into Databricks by creating a fundamental data pipeline. This project introduces you to the Databricks environment where you will configure your initial setup, connect to live data sources, and construct a basic ETL (Extract, Transform, Load) process. You’ll gain hands-on experience in data ingestion, simple transformations, and batch data processing.

Project 2: Advanced Data Processing and Exploration

Advance your data engineering skills by tackling more complex data processing and exploration tasks within Databricks. Utilise Databricks Notebooks to execute SQL and Python code for data transformation, including aggregations and complex joins. This project will enhance your understanding of how to prepare large datasets for analysis and visualisation, focusing on performance optimization and data integrity.

Project 3: Automating Data Workflows with Databricks

Elevate your proficiency with Databricks by automating a data workflow. In this project, you will use Databricks to create sophisticated orchestration workflows that integrate with live data feeds, handling dynamic data updates and dependencies. Learn to implement triggers and alerts to automate pipeline executions and ensure data freshness for analytics and reporting.

Project 4: Implementing Data Governance and Compliance

Position yourself to manage critical aspects of data governance and compliance within Databricks. This project involves setting up data governance mechanisms, including data cataloging with Unity Catalog and enforcing data security policies. You’ll explore the management of data access and security, ensuring compliance with organizational and regulatory standards.

Certificate

Upon successful completion of the course and final project, you will receive a certification. This certificate serves as a testament to your newly acquired skills and readiness to tackle real-world data challenges, enhancing your professional credibility and marketability in the field of data analytics and engineering.