Data Engineering with Databricks from edX

Master Data Engineering on Databricks Lakehouse Platform

Learn Databricks architecture, cluster management & notebook analysis
Build reliable ETL pipelines with Delta Lake for data transformation
Implement advanced data processing techniques with Apache Spark

Course Highlights:

Create & scale Databricks clusters for workloads
Load data from diverse sources into notebooks
Explore, visualize & profile datasets with notebooks
Version control & share notebooks via Git integration
Read & ingest data in various file formats
Transform data with SQL & DataFrame operations
Handle complex data types like arrays, structs, timestamps
Deduplicate, join & flatten nested data structures
Identify & fix data quality issues with UDFs
Load cleansed data into Delta Lake for reliability
Build production-ready pipelines with Delta Live Tables
Schedule & monitor workloads using Databricks Jobs
Secure data access with Unity Catalog

Gain comprehensive skills in data engineering on Databricks through hands-on labs, real-world projects and best practices for the modern data lakehouse.

What's inside

Learning objectives

Use databricks for data engineering and ml workloads
Create and design ml pipelines

Use llamafile and other local llms like mixtral

Use databricks for data engineering and ml workloads
Create and design ml pipelines
Use llamafile and other local llms like mixtral

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores advanced data processing techniques, which are highly relevant to professionals engaging in data transformation and engineering

Introduces key components of Databricks, such as clusters and notebooks, which are essential for practical use

Offers hands-on experience through real-world projects, providing learners with valuable practical skills

Provides in-depth coverage of Delta Lake for reliable data storage, aligning with industry standards

Taught by experienced instructors in the field, providing learners with access to expert knowledge

Career center

Learners who complete Data Engineering with Databricks will develop knowledge and skills that may be useful to these careers:

Data Management Consultant

This course is highly relevant for those looking to enter the field of data management consulting. As a data management consultant, you'll be responsible for helping organizations manage their data assets effectively. This course will provide you with a strong understanding of data engineering principles and best practices, which will enable you to advise clients on how to improve their data management practices. Additionally, the data management consulting field is growing rapidly, meaning there will be a high demand for qualified professionals with the skills you'll gain from this course.

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Data Integration Architect

For those interested in a career as a data integration architect, this course will provide you with a strong foundation in data engineering and data integration. You'll learn how to design and implement data integration solutions that can seamlessly connect different data sources. This knowledge will give you a competitive edge when applying for data integration architect jobs, as you'll have a deep understanding of the challenges and solutions involved in data integration.

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Data Engineer

If you want to work with large datasets and have a solid understanding of data engineering, this course is a great fit. It will teach you how to use Apache Spark and Databricks to build reliable ETL pipelines and implement advanced data processing techniques. You'll also learn how to handle complex data types and identify and fix data quality issues. This will give you a competitive edge when applying for data engineering jobs.

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Data Governance Analyst

A data governance analyst is responsible for developing and implementing data governance policies and procedures. This course will provide you with a solid understanding of data governance principles and best practices. You'll learn how to create a data governance framework, as well as how to assess and mitigate data governance risks.

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Big Data Architect

This course is well-suited for those who want to build a career as a big data architect, as it provides a comprehensive overview of big data technologies and their applications. You'll learn how to design and implement big data solutions that can handle the volume, variety, and velocity of big data. You'll also gain experience with popular big data tools such as Apache Spark and Hadoop.

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Software Engineer

This course is a great starting point for software engineers looking to enter the field of data engineering. You'll learn the fundamentals of data engineering, including data modeling, data warehousing, and data analysis. This knowledge will give you a competitive edge when applying for software engineering jobs in the data engineering field.

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Machine Learning Engineer

This course provides a strong foundation for those who want to start or advance a career in machine learning engineering. It covers a wide range of ML concepts and techniques, including how to create and deploy ML models. The course also provides hands-on experience with popular ML libraries such as TensorFlow and Keras. By completing this course, you will be well-prepared to apply for ML engineering jobs.

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Database Administrator

As a database administrator, you'll be responsible for managing and maintaining databases. This course will provide you with a solid foundation in data engineering and database management, giving you the skills you need to succeed in this role. You'll learn how to design and implement database solutions, as well as how to monitor and troubleshoot database performance.

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Business Intelligence Analyst

Taking this course will be helpful for those pursuing a career as a business intelligence analyst, as it provides a strong foundation in data engineering and data analysis. Through hands-on labs, you'll learn how to use Apache Spark to process and analyze big data, and how to visualize data using popular BI tools. This real-world experience will give you an advantage when applying for BI analyst jobs, as you'll be able to demonstrate your skills and knowledge in these areas.

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Data Analyst

This course provides a good foundation for data analysts, as it covers a wide range of data analysis techniques. You'll learn how to clean and prepare data, perform exploratory data analysis, and create data visualizations. This will give you the skills you need to succeed in a data analyst role, where you'll be responsible for analyzing data to identify trends and patterns. Additionally, the data analyst role is in high demand across various industries, meaning you'll have a wide range of job opportunities to choose from.

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Cloud Architect

Taking this course while pursuing a career as a cloud architect may be beneficial, as you will learn about the design and implementation of data engineering solutions in the cloud. This will give you a competitive edge when applying for cloud architect jobs, as you will have a solid understanding of the cloud computing landscape. Additionally, the cloud architect role is in high demand, meaning your chances of securing a well-paying job will be higher.

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Data Scientist

Learning about data engineering through this course may be useful as data scientists need to work closely with data engineers. This course can help you develop a solid understanding of data engineering principles and best practices, which will enable you to communicate more effectively with data engineers and contribute to the design and implementation of data engineering solutions in your organization.

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