Databricks Certified Data Engineer Course Overview

Welcome to AI Coach Mart's comprehensive Databricks Certified Data Engineer course! Our program is designed to provide you with a deep understanding of Databricks Certified Data Engineers and equip you with the skills needed to excel in Databricks Certified Data Engineer.

Highlights

1. Real-Time Experts
2. LIVE Project
3. Certification
4. Online training at Flexible times
5. Affordable Fees
6. Placement Support
7. Class recordings
8. Use AI tools and save 3 hours of your daily time.
9. The salary will grow three times as fast.
10. Unlock bonuses worth ₹50,000
11. Resume-Building Support
12. Mock interviews

Why should you learn the Databricks Certified Data Engineer course?

Learning the Databricks Certified Data Engineer course offers numerous benefits and opportunities in the modern data-driven world. Here's a detailed overview of why pursuing this certification can be advantageous:

1. Global Opportunities

Growing Demand

The demand for skilled data engineers is on the rise globally as organizations across various industries recognize the importance of data-driven decision-making. Data engineering skills are crucial for managing and transforming raw data into valuable insights, making professionals with these capabilities highly sought after.

Job Roles and Industries

• Technology: Tech companies, especially those involved in big data, AI, and machine learning, are major employers of data engineers.
• Finance: Banks, investment firms, and insurance companies need data engineers to handle vast amounts of financial data, ensure compliance, and drive analytics.
• Healthcare: Healthcare providers and pharmaceutical companies leverage data engineering for patient data management, research, and operational efficiencies.
• Retail: Retailers use data engineers to manage customer data, optimize supply chains, and enhance marketing strategies.
• Telecommunications: Telecom companies need data engineers for network optimization, customer data management, and service improvements.

Job Availability

With the increasing adoption of cloud services and big data solutions, there are numerous job openings worldwide for data engineers. Major job markets include the United States, Canada, Europe, India, and Australia, with cities like San Francisco, New York, London, Toronto, and Bangalore being hotspots.

2. Average Salary Worldwide

The salary of a Databricks Certified Data Engineer can vary based on location, experience, and industry. However, data engineers generally command high salaries due to the specialized nature of their skills.

Average Salaries

• United States: The average salary for a data engineer in the US is approximately $120,000 per year. In tech hubs like Silicon Valley, it can go up to $150,000 or more.
• Canada: Data engineers in Canada earn around CAD 90,000 to CAD 110,000 annually.
• Europe: In countries like Germany, the UK, and the Netherlands, data engineers can expect to earn between €60,000 and €90,000 per year.
• India: Data engineers in India have salaries ranging from INR 800,000 to INR 1,500,000 per year.
• Australia: The average salary in Australia is around AUD 100,000 to AUD 130,000 annually.

3. Sectors Utilizing Databricks Certified Data Engineers

Databricks Certified Data Engineers are employed across a variety of sectors, leveraging their skills to solve industry-specific challenges.

Finance

• Use Cases: Fraud detection, risk management, customer analytics, and regulatory compliance.
• Example: Banks using Databricks for real-time analytics to detect fraudulent transactions and manage risks effectively.

Healthcare

• Use Cases: Patient data management, clinical research, predictive analytics for disease outbreaks, and operational efficiency.
• Example: Hospitals and pharmaceutical companies using Databricks to manage large datasets for research and improve patient care through predictive analytics.

Retail

• Use Cases: Customer personalization, inventory management, supply chain optimization, and sales forecasting.
• Example: Retailers using Databricks to analyze customer data for personalized marketing and to optimize supply chain logistics.

Telecommunications

• Use Cases: Network optimization, customer churn prediction, service quality improvement, and data monetization.
• Example: Telecom companies utilizing Databricks to analyze network performance data and improve customer service quality.

Technology

• Use Cases: Product development, user behavior analytics, system monitoring, and performance optimization.
• Example: Tech companies using Databricks for large-scale data processing to enhance product features and user experience.

Databricks Certified Data Engineer Course Content

1. Introduction
2. Azure Subscription (Optional)
3. Azure Databricks Overview
4. Databricks Clusters
5. Databricks Notebooks
6. Accessing Azure Data Lake from Databricks
7. Securing Access to Azure Data Lake
8. Mounting Data Lake Container to Databricks
9. Formula1 Project Overview
10. Spark Introduction
11. Data Ingestion - CSV
12. Data Ingestion - JSON
13. Data Ingestion - Multiple Files
14. Databricks Workflows
15. Filter & Join Transformations
16. Aggregations
17. Using SQL in Spark Applications
18. Spark SQL - Databases/ Tables/ Views
19. Spark SQL - Filters/ Joins/ Aggregations
20. Spark SQL - Analysis
21. Incremental Load
22. Delta Lake
23. Azure Data Factory
24. Connect to Other Services
25. Unity Catalog - Introduction
26. Unity Catalog - Mini Project
27. Unity Catalog - Key Benefits