Azure Databricks and Spark SQL (Python)

🌟 Course Title: Master Azure Databricks with PySpark: Your Hands-On Guide to Advanced Data Engineering and Analysis (DP203)

🚀 Course Headline: Unlock the Power of Big Data with Azure Databricks! 🎓

About the Course:

Dive into the world of big data with our comprehensive online course, designed to help you master Azure Databricks using Python. This course is your key to unlocking the potential of PySpark for data engineering and analysis, ensuring you stay ahead in the rapidly evolving field of data science and machine learning.

What You'll Learn:

🛠️ Essentials of Azure Databricks: Get familiar with the platform, its features, and how it fits into your data workflows.

📚 Interactive Learning: Engage with lectures, code-along videos, and challenge sections that will keep you motivated and focused on mastering each concept.

🔑 Lifetime Access: Enjoy lifetime access to all the course lectures, ensuring you can review or revisit the material whenever needed.

Course Content Breakdown:

• Set Up and Overview: Lay the foundation of your Databricks environment.
• Azure Databricks Notebooks: Learn to create, run, and manage your notebooks with ease.
• Spark SQL: Discover how to perform advanced data analysis using Spark SQL syntax and functions within Python.
• Reading and Writing Data: Master the techniques for efficient data handling in and out of Databricks.
• Data Analysis and Transformation: Gain proficiency in transforming your data into actionable insights with PySpark.
• Charts and Dashboards: Visualize your data effectively to tell a compelling story or monitor performance.
• Databricks Medallion Architecture: Understand the architecture that supports a wide range of workloads.
• Accessing Data in Cloud Object Storage: Learn how to access, manage, and store data in Azure's secure cloud storage solution.
• Hive Metastore: Explore the integration of Hadoop with Databricks and the role of the Hive Metastore.
• Databases, Tables, and Views: Work with databases within Databricks for structured querying and management.
• Delta Lake / Databricks Lakehouse Architecture: Learn about the Delta Lake architecture and how it provides reliability, scalability, and agility for data engineers.
• Spark Structured Streaming: Implement real-time stream processing with PySpark to analyze streaming data.
• Delta Live Tables: Understand how to build ETL pipelines using Delta Live Tables.
• Databricks Jobs: Schedule and automate your workflows with Databricks Jobs.
• Access Control Lists (ACLs): Manage permissions in Databricks to control access to resources.
• Databricks CLI: Learn how to interact with the Databricks platform using the command line interface.
• Source Control with Databricks Repos: Integrate your Databricks projects with Azure Repos for version control and collaboration.
• CI/CD on Databricks: Set up continuous integration and deployment pipelines within the Databricks workspace to streamline your development process.

Why Enroll?

This course is meticulously designed to provide you with hands-on training using a variety of data sets. You will be equipped with the knowledge and skills to leverage Azure Databricks, Spark SQL, and PySpark for real-world applications. Whether you're looking to advance your career in data engineering, data science, or machine learning, this course will empower you with the expertise needed to excel.

👨‍💻 Who Should Take This Course?

• Data Engineers and Scientists
• Machine Learning Engineers
• Developers working with big data platforms
• IT professionals aiming to expand their skill set in cloud computing
• Anyone interested in learning the intricacies of Azure Databricks for handling large-scale data processing tasks

Join us on this exciting journey into the realm of advanced data engineering and analysis. Sign up now and start your path towards becoming a Databricks expert with PySpark! 🤓💻