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Building Modern Data Applications Using Databricks Lakehouse

In today’s data-driven world, building scalable and efficient data applications is crucial for staying ahead in business and technology. This course explores the power of Databricks Lakehouse, a unified platform for managing and analyzing large volumes of data, and guides you through essential skills to create modern data applications. Throughout the course, you’ll learn to work with Delta Live Tables for data transformation, management, and quality assurance. You will also dive deep into Databricks’ Unity Catalog for enhanced governance, data lineage, and location management. The hands-on experience with deploying and maintaining DLT pipelines using Terraform prepares you for real-world data infrastructure challenges. This course stands out by combining theoretical understanding with practical, real-world applications. You’ll gain a robust set of skills in data pipeline management, governance, and monitoring, preparing you for building production-level data applications with Databricks Lakehouse. Designed for professionals looking to deepen their expertise in modern data architecture, this course is suitable for data engineers, data scientists, and IT professionals who want to leverage Databricks to solve real-world data problems.
Duration 3 Months
Institution Packt
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Packt.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $79
Total Est. Investment $79

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Building Modern Data Applications Using Databricks Lakehouse program at Packt are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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