Spark SQL and Spark 3 using Scala Hands-On with Labs
Enroll now →
About this course
In this course, you'll gain essential skills to construct data engineering pipelines using Spark SQL and Scala. Tailored for individuals looking to transition into data engineering, it covers both batch and streaming data processing, providing hands-on practice through numerous exercises and tasks. You'll also receive guidance on setting up a single-node big data cluster, ensuring you're prepared to tackle real-world projects.
What you'll learn
- building data engineering pipelines
- using Spark SQL and Spark Data Frame APIs
- setting up a single-node big data cluster
Course objectives
- prepare for a role as a Data Engineer
- develop proficiency in Spark SQL and Scala
- practice hands-on with relevant tools
Skills you'll gain
Related courses
Data Science Foundations
USD 49
Data Science as a Field
USD 99
Data Analytics in the Public Sector with R
USD 49
Geographic Information Systems (GIS)
USD 49
Statistical Methods and Data Analysis
USD 49
Data Visualization & Analytics in Tableau
USD 49
Enhancing Reproducible Science with GitHub and Docker
USD 49
Programming for Python Data Science: Principles to Practice
USD 49
Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.