Getting Started with the Databricks Lakehouse Platform from Pluralsight

This course will teach you how the Data Lakehouse architecture brings you the best of both Data Lakes and Data Warehouses allowing you to meet your data needs for big data processing, SQL analytics, and machine learning in a single platform.

Organizations have long collected data in a variety of formats, structured, unstructured, and semi-structured data. However, working with data in different formats for different use-cases requires multiple platform data warehouses for structured data needed for business intelligence and data lakes for unstructured data needed for data science and machine learning. The Databricks data lakehouse architecture is an innovative paradigm that combines the flexibility and cost efficiency of a data lake with the reliability and features of a data warehouse.

In this course, Getting Started with the Databricks Lakehouse Platform, you will learn the importance of storing data in a centralized repository and how data lakes and data warehouses serve to solve different data-related problems. First, you’ll explore a variety of technologies in the analytics space and how the lakehouse platform encompasses their strengths while mitigating their limitations.

Next, you will understand the basic components that make up the architecture of a data lakehouse and how the Databricks Lakehouse Platform uses Delta Lakes to enable both SQL analytics and data science and machine learning using the same underlying data lake storage.

Finally, you will explore the Databricks Data Lakehouse on Microsoft Azure. You will build the data lakehouse, store data in Delta Tables, and access the same data using Apache Spark and SQL queries.

When you are finished with this course, you will be able to clearly articulate how the data lakehouse platform helps mitigate challenges with current data architectures and will know hands-on how you can set up and use the lakehouse on Databricks.

What's inside

Syllabus

Course Overview

Introducing the Lakehouse Platform

An Architectural Overview of the Lakehouse Platform

Using a Lakehouse on Databricks

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explored through the lens of a real-world use case, this course clarifies the technical details of the Data Lakehouse concept

Regardless of your learning objectives, this course provides a comprehensive understanding of data lakehouse architecture and will help you understand how data lakes and data warehouses work

Develops competency in using Delta Lakes, SQL, Apache Spark, and related technologies, enabling you to use and apply them in practical situations beyond this course

Taught by Janani Ravi, this course benefits from the instructor's experience and expertise in data engineering and data architecture

Examines the challenges of current data architectures, explaining how the data lakehouse platform mitigates them

Provides an opportunity to build and use a data lakehouse on Databricks, offering hands-on experience with the platform

Career center

Learners who complete Getting Started with the Databricks Lakehouse Platform will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure to support data-driven applications and analytics. This course provides a hands-on introduction to the Databricks Lakehouse Platform, which is a leading platform for building and managing data lakehouses. By completing this course, Data Engineers can gain the skills and knowledge needed to build and maintain data lakehouses that support the data needs of their organizations.

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Data Architect

Data Architects design, build, and manage data architectures and systems to meet the needs of an organization. This course provides a solid foundation for understanding the concepts and technologies involved in data lakehouse architecture, which is a key component of modern data architectures. By understanding the principles of data lakehouse architecture, Data Architects can make informed decisions about how to design and implement data systems that are scalable, reliable, and cost-effective.

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Data Scientist

Data Scientists use data to build models and insights to support decision-making. This course provides a solid foundation for understanding the role of data lakehouses in supporting data science and machine learning. By understanding the principles of data lakehouse architecture, Data Scientists can make informed decisions about how to access and use data for their projects.

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Data Analyst

Data Analysts analyze data to identify trends and insights to support decision-making. This course provides a strong foundation for understanding the role of data lakehouses in supporting data analytics. By understanding the principles of data lakehouse architecture, Data Analysts can make informed decisions about how to access and use data for their analyses.

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Business Intelligence Analyst

Business Intelligence Analysts use data to identify trends and insights to support business decision-making. This course provides a solid foundation for understanding the role of data lakehouses in supporting business intelligence. By understanding the principles of data lakehouse architecture, Business Intelligence Analysts can make informed decisions about how to access and use data for their analyses.

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Database Administrator

Database Administrators design, build, and maintain databases to support the data needs of an organization. This course provides a solid foundation for understanding the concepts and technologies involved in data lakehouse architecture, which is a key component of modern data architectures. By understanding the principles of data lakehouse architecture, Database Administrators can make informed decisions about how to design and implement data systems that are scalable, reliable, and cost-effective.

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Software Engineer

Software Engineers design, build, and maintain software applications to support the needs of an organization. This course provides a solid foundation for understanding the concepts and technologies involved in data lakehouse architecture, which is a key component of modern data architectures. By understanding the principles of data lakehouse architecture, Software Engineers can make informed decisions about how to design and implement software applications that are scalable, reliable, and cost-effective.

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Cloud Architect

Cloud Architects design, build, and manage cloud computing environments to support the needs of an organization. This course provides a solid foundation for understanding the concepts and technologies involved in data lakehouse architecture, which is a key component of modern data architectures. By understanding the principles of data lakehouse architecture, Cloud Architects can make informed decisions about how to design and implement cloud computing environments that are scalable, reliable, and cost-effective.

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Data Warehouse Architect

Data Warehouse Architects design, build, and maintain data warehouses to support the data needs of an organization. This course provides a solid foundation for understanding the concepts and technologies involved in data lakehouse architecture, which is a key component of modern data architectures. By understanding the principles of data lakehouse architecture, Data Warehouse Architects can make informed decisions about how to design and implement data warehouses that are scalable, reliable, and cost-effective.

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Data Governance Specialist

Data Governance Specialists develop and implement policies and procedures to ensure the quality, accuracy, and security of data. This course provides a solid foundation for understanding the concepts and technologies involved in data lakehouse architecture, which is a key component of modern data architectures. By understanding the principles of data lakehouse architecture, Data Governance Specialists can make informed decisions about how to develop and implement data governance policies and procedures that are effective and efficient.

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Information Security Analyst

Information Security Analysts design, implement, and maintain security measures to protect data and information from unauthorized access or use. This course provides a solid foundation for understanding the concepts and technologies involved in data lakehouse architecture, which is a key component of modern data architectures. By understanding the principles of data lakehouse architecture, Information Security Analysts can make informed decisions about how to design and implement security measures that are effective and efficient.

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Data Privacy Analyst

Data Privacy Analysts develop and implement policies and procedures to ensure that data is collected, used, and shared in a compliant and ethical manner. This course provides a solid foundation for understanding the concepts and technologies involved in data lakehouse architecture, which is a key component of modern data architectures. By understanding the principles of data lakehouse architecture, Data Privacy Analysts can make informed decisions about how to develop and implement data privacy policies and procedures that are effective and efficient.

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Statistician

Statisticians collect, analyze, and interpret data to provide insights and make predictions. This course provides a strong foundation for understanding the role of data lakehouses in supporting statistical analysis. By understanding the principles of data lakehouse architecture, Statisticians can make informed decisions about how to access and use data for their analyses.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve complex problems and improve decision-making. This course provides a solid foundation for understanding the role of data lakehouses in supporting operations research. By understanding the principles of data lakehouse architecture, Operations Research Analysts can make informed decisions about how to access and use data for their analyses.

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Financial Analyst

Financial Analysts use data to analyze financial performance and make investment recommendations. This course provides a solid foundation for understanding the role of data lakehouses in supporting financial analysis. By understanding the principles of data lakehouse architecture, Financial Analysts can make informed decisions about how to access and use data for their analyses.

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Getting Started with the Databricks Lakehouse Platform

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