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Apache Spark has become the backbone of modern data engineering. With the explosion of big data companies need engineers who can process massive datasets efficiently, build scalable pipelines, and work with modern lakehouse architectures. This in depth Apache Spark bootcamp is focused on PySpark API. Learn DataFrames, Spark SQL, distributed processing, performance tuning, and Delta Lake basics. Build real data engineering pipelines and gain confidence working with large-scale data.

Our Analytics Engineering Bootcamp designed to equip you with the essential tools and techniques needed to thrive in today's data-driven world. Whether you're a beginner or looking to expand your expertise, this bootcamp covers everything you need to succeed in the field of data analytics. What You’ll Learn: 1- SQL For Analytics (Zero to Hero) (5 weeks) 2- Data Modeling & Data Warehousing (2 weeks) 3- Snowflake (Analytics at Scale) (3-4 weeks) 4- dbt (Data Build Tool) (2-3 weeks) 5- Power BI (4-5 weeks)

Master modern data engineering and analytics with our hands-on Snowflake data engineer Bootcamp. This program is designed for analysts, engineers, and data enthusiasts who want to build scalable, production-grade data pipelines in the cloud. This bootcamp is fully practical. You’ll be working on live examples, real datasets, and industry-inspired case studies so you can confidently apply your skills at work or in interviews.