The Data Engineer Bootcamp 2026

Connect to data from emails, databases, external services, or desktops by standardizing intake into a schema-enabled data warehouse, ensuring consistency and loudly alerting failures.

Master unions and joins, core relational database operations that combine data from multiple tables by stacking rows or linking via a foreign key, including union versus union all.

Explore ACID properties—atomicity, isolation, consistency, durability—and how they guarantee reliable transactions in relational databases, helping you compare SQL and NoSQL choices for real-world use cases.

Columnar databases optimize column storage for analytics, delivering faster data retrieval than relational databases by accessing only relevant columns, exemplified by aggregating revenue column for sales data, Cassandra DB.

Explore NoSQL databases by answering key questions on durability in acid properties, graph database edges linking nodes, json document formats, and the efficiency of columnar databases for analytical queries.

Compare horizontal and vertical scaling, showing when to upgrade a single machine versus add servers, and discuss cost, simplicity, and coordination in data warehousing.

Explore big data concepts and the data engineer's role in building scalable architectures, data lakes, and processing systems to extract business insights from data characterized by volume, velocity, and variety.

Explore Apache Spark, the in-memory big data processing framework that enables real-time stream processing, interactive analysis, and scalable machine learning via MLlib, with interfaces like PySpark and Spark SQL.

Explore how relational databases organize data into tables with keys and relations, connect via joins, and contrast with NoSQL and document databases like MongoDB.

Master DQL, DDL, DML, and DCL to query, define, manipulate, and control access in SQL, using select, insert, update, delete, merge, and permissions to protect PII.

Identify keywords such as select and from, along with clauses, expressions, and predicates in a sql query. Understand binding and parsing, and how explain reveals the query plan with seqscan.