Data Management with Databricks: Big Data with Delta Lakes from Coursera

In this 2-hour guided project, "Data Management with Databricks: Big Data with Delta Lakes" you will collaborate with the instructor to achieve the following objectives:

1-Create Delta Tables in Databricks and write data to them. Gain hands-on experience in setting up and managing Delta Tables, a powerful data storage format optimized for performance and reliability.

2-Transform a Delta table using Python and leverage SQL to query the data for creating a comprehensive dashboard. Learn how to apply Python-based transformations to Delta Tables, and use SQL queries to extract the necessary insights for building a Supply Chain dashboard.

3-Utilize Delta Lake's merge operation and version control capabilities to efficiently update Delta Tables. Explore the capabilities of Delta Lake's merge operation to perform upserts and other data updates efficiently. Additionally, learn how to leverage Delta Lake's built-in version control to track and access previous versions of Delta Tables as needed.

Throughout a real-world business scenario, you will use Databricks to build an end-to-end data pipeline that integrates various JSON data files and applies transformations, ultimately providing valuable insights and analysis-ready data.

This intermediate-level guided project is designed for data engineers who build data pipelines for their companies using Databricks. In order to be successful in this guided project, you need prior knowledge of writing Python scripts including importing libraries, setting-up variables, manipulating data frames, and using functions. You will also need to be familiar with writing SQL queries such as aggregating, filtering, and joining tables.

What's inside

Syllabus

Project Overview

This course provides learners with an introduction to Delta Lakes and how to use Databricks to work with them. You will learn how Delta Lakes can help you manage big data workloads and achieve data consistency. The course covers topics such as Delta Lake architecture, schema evolution, and version control.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides hands-on experience, allowing learners to apply knowledge practically

Well-structured with clear objectives and outcomes

Taught by an experienced instructor

Covers a comprehensive range of topics

May require prior knowledge of Python and SQL

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Management with Databricks: Big Data with Delta Lakes with these activities:

Review Statistics and Probability

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Refresh your knowledge of statistics and probability, which are essential for big data analysis.

Browse courses on Statistics

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Review your notes from a previous statistics or probability course.
Take a practice test or quiz to assess your understanding.

Read 'Big Data for Dummies'

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Gain a foundational understanding of big data concepts and technologies.

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Read the first three chapters of the book.
Attend the first three live lectures of the course.

Apache Spark Tutorial

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Learn the basics of Apache Spark, a popular big data processing framework.

Browse courses on Big Data Processing

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Follow the Apache Spark Tutorial on the Databricks website.
Complete the exercises in the tutorial.

Five other activities

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Peer Study Group

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Engage with peers to discuss course concepts and reinforce learning.

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Form a study group with 2-3 other students.
Meet regularly to discuss course materials, review concepts, and work on assignments together.

Personal Data Analysis Project

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Apply your skills to a personal data analysis project to gain practical experience.

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Identify a personal data analysis project that you are interested in.
Collect and clean the data for your project.
Analyze the data using techniques learned in the course.
Write a report or create a presentation to share your findings.

Data Analysis Drills

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Gain proficiency in data analysis techniques by solving practice problems.

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Solve the data analysis problems provided in the course materials.
Participate in the online discussion forum to ask questions and share solutions.

Big Data Solution Proposal

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Apply your knowledge to a real-world big data problem by developing a solution proposal.

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Identify a big data problem to solve.
Develop a solution proposal that outlines the problem, the proposed solution, and the benefits of the solution.
Present your proposal to the class.

Contribute to Open Source Project

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Get involved in the open source community by contributing to a big data project.

Browse courses on Open Source

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Identify an open source big data project to contribute to.
Find a way to contribute to the project, such as fixing bugs, improving documentation, or adding new features.

Career center

Learners who complete Data Management with Databricks: Big Data with Delta Lakes will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers build data pipelines and data warehouses for companies. They use their knowledge of big data technologies to build systems that can process and store large amounts of data. The course "Data Management with Databricks: Big Data with Delta Lakes" can help you build a foundation in big data technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Data Engineer

Data Analyst

Data Analysts use data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. The course "Data Management with Databricks: Big Data with Delta Lakes" can help you build a foundation in data analysis technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use data to build models that can predict future outcomes. They use their knowledge of statistics and machine learning to develop models that can help businesses make better decisions. The course "Data Management with Databricks: Big Data with Delta Lakes" can help you build a foundation in data science technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Data Scientist

Database Administrator

Database Administrators manage and maintain databases. They ensure that databases are running smoothly and that data is protected. The course "Data Management with Databricks: Big Data with Delta Lakes" can help you build a foundation in database administration technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Database Administrator

Software Engineer

Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages and software development tools to build systems that meet the needs of users. The course "Data Management with Databricks: Big Data with Delta Lakes" can help you build a foundation in software engineering technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Software Engineer

Cloud Engineer

Cloud Engineers design, build, and manage cloud computing systems. They use their knowledge of cloud computing technologies to build systems that are scalable, reliable, and secure. The course "Data Management with Databricks: Big Data with Delta Lakes" can help you build a foundation in cloud engineering technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Cloud Engineer

Data Architect

Data Architects design and build data systems. They use their knowledge of data modeling and data management technologies to build systems that meet the needs of businesses. The course "Data Management with Databricks: Big Data with Delta Lakes" can help you build a foundation in data architecture technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Data Architect

Business Analyst

Business Analysts help businesses make better decisions by providing them with data and analysis. They use their knowledge of business and data analysis to identify opportunities and solve problems. The course "Data Management with Databricks: Big Data with Delta Lakes" can help you build a foundation in business analysis technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Business Analyst

Product Manager

Product Managers lead the development and launch of new products. They use their knowledge of market research and product development to build products that meet the needs of customers. The course "Data Management with Databricks: Big Data with Delta Lakes" can help you build a foundation in product management technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Product Manager

Project Manager

Project Managers lead and manage projects from start to finish. They use their knowledge of project management methodologies and tools to plan, execute, and close projects successfully. The course "Data Management with Databricks: Big Data with Delta Lakes" can help you build a foundation in project management technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Project Manager

Sales Manager

Sales Managers lead and manage sales teams. They use their knowledge of sales techniques and strategies to achieve sales goals. The course "Data Management with Databricks: Big Data with Delta Lakes" may be useful for Sales Managers who want to learn more about data analysis technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Sales Manager

Marketing Manager

Marketing Managers lead and manage marketing campaigns. They use their knowledge of marketing principles and techniques to reach target audiences and achieve marketing goals. The course "Data Management with Databricks: Big Data with Delta Lakes" may be useful for Marketing Managers who want to learn more about data analysis technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Marketing Manager

Financial Analyst

Financial Analysts analyze financial data to make investment recommendations. They use their knowledge of financial markets and analysis techniques to identify investment opportunities and risks. The course "Data Management with Databricks: Big Data with Delta Lakes" may be useful for Financial Analysts who want to learn more about data analysis technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Financial Analyst

Operations Manager

Operations Managers lead and manage business operations. They use their knowledge of operational management principles and techniques to improve efficiency and productivity. The course "Data Management with Databricks: Big Data with Delta Lakes" may be useful for Operations Managers who want to learn more about data analysis technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

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Human Resources Manager

Human Resources Managers lead and manage human resources functions. They use their knowledge of human resources principles and techniques to attract, develop, and retain employees. The course "Data Management with Databricks: Big Data with Delta Lakes" may be useful for Human Resources Managers who want to learn more about data analysis technologies such as Databricks and Delta Lakes. This course will teach you how to create and manage Delta Tables, transform data using Python and SQL, and utilize Delta Lake's merge operation and version control capabilities.

See salaries and explore the career path for Human Resources Manager