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Handling Streaming Data with Azure Databricks Using Spark Structured Streaming
Mohit Batra
Mohit Batra
In this course, you will deep-dive into Spark Structured Streaming, see its features in action, and use it to build end-to-end, complex & reliable streaming pipelines using PySpark. And you will be using Azure Databricks platform to build & run them.
Read more
In this course, you will deep-dive into Spark Structured Streaming, see its features in action, and use it to build end-to-end, complex & reliable streaming pipelines using PySpark. And you will be using Azure Databricks platform to build & run them.
Read more
In this course, you will deep-dive into Spark Structured Streaming, see its features in action, and use it to build end-to-end, complex & reliable streaming pipelines using PySpark. And you will be using Azure Databricks platform to build & run them.
Modern data pipelines often include streaming data that needs to be processed in real-time. In a practical scenario, you would be required to deal with multiple streams and datasets, to continuously produce the results. In this course, Handling Streaming Data with Azure Databricks Using Spark Structured Streaming, you will learn how to use Spark Structured Streaming on Databricks platform, which is running on Microsoft Azure, and leverage its features to build end-to-end streaming pipelines. First, you will see a quick recap of Spark Structured Streaming processing model; understand the scenario that we will implement, and complete the environment setup. Next, you will learn how to configure sources and sinks, and build each phase of the streaming pipeline – by extracting the data from various sources, transforming it, and loading it into multiple sinks – Azure Data Lake, Azure Event Hubs, and Azure SQL. You will also see the different timestamps associated with an event, and how to aggregate data using Windows. Next, you will see how to combine a stream, with static or historical datasets. And how to combine multiple streams together. Finally, you will learn how to build a production ready pipeline, schedule it as a job in Databricks, and manage them using Databricks CLI. When you are finished with this course, you will be comfortable to build complex streaming pipelines, running on Azure Databricks, to solve a variety of business problems.
Register for this course and see more details by visiting:
OpenCourser.com/course/2q4nr7/handling
What's inside
Syllabus
Course Overview
Setting up the Environment
Building Streaming Pipeline
Working with Timestamps and Windows
Read more
Syllabus
Course Overview
Setting up the Environment
Building Streaming Pipeline
Working with Timestamps and Windows
Read more
Handling Stateful Operations
Working with Multiple Streams and Datasets
Running Streaming Pipeline in Production
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by instructors recognized for their work in this specific topic
Examines industry-standard practices in the field
Develops in-demand skills highly relevant to the industry
Includes both lectures and hands-on labs
Requires students to have some prior knowledge in the field
Teaches skills and knowledge that may become outdated in the future
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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 Handling Streaming Data with Azure Databricks Using Spark Structured Streaming with these
activities:
Review Azure Databricks documentation
Show steps
Refresh your understanding of Azure Databricks and its components to ensure you're well-prepared for the course.
Browse courses on
Azure Databricks
Show steps
-
Access Azure Databricks documentation
-
Review concepts related to Spark Structured Streaming
-
Explore documentation on Azure Data Lake, Event Hubs, and SQL within Azure Databricks
Read Spark: The Definitive Guide
Show steps
Reinforce your understanding of Spark SQL and Structured Streaming through a comprehensive book review.
View
Spark: The Definitive Guide: Big Data...
on Amazon
Show steps
-
Acquire a copy of the book.
-
Read chapters relevant to the course, focusing on Spark SQL and Structured Streaming concepts.
-
Take notes and summarize key concepts.
Join a Study Group for Spark Structured Streaming
Show steps
Engage with peers, exchange knowledge, and clarify concepts through regular study sessions.
Browse courses on
Spark Structured Streaming
Show steps
-
Find or create a study group with other students taking the course.
-
Meet regularly to discuss course materials, share insights, and solve problems together.
14 other activities
Expand to see all activities and additional details
Show all 17 activities
Organize and review course materials
Show steps
Stay organized and optimize your learning by compiling and reviewing essential course materials, ensuring you have a comprehensive understanding of the subject.
Show steps
-
Gather and organize notes, assignments, quizzes, and exams
-
Review materials regularly to reinforce your understanding
Join a study group or connect with peers
Show steps
Engage with fellow learners to exchange knowledge, discuss concepts, and enhance your understanding through collaborative learning.
Show steps
-
Identify or join a study group or online community focused on Azure Databricks and Spark Structured Streaming
-
Participate in discussions, ask questions, and share your insights
Explore Microsoft's Azure Databricks tutorials
Show steps
Supplement your learning by exploring Microsoft's official Azure Databricks tutorials for additional insights and practical examples.
Browse courses on
Azure Databricks
Show steps
-
Access Azure Databricks tutorials
-
Follow tutorials relevant to Spark Structured Streaming and Azure Databricks
-
Experiment with code examples and apply them to your own projects
Tutorial: Create a Streaming Pipeline in Azure Databricks
Show steps
Follow a step-by-step tutorial to build a streaming pipeline.
Show steps
-
Set up your Azure Databricks environment.
-
Create a streaming DataFrame from a data source.
-
Transform the data using Spark SQL operations.
-
Write the transformed data to a data sink.
Complete Databricks Labs Exercises
Show steps
Enhance your practical skills by completing guided lab exercises on Azure Databricks.
Browse courses on
Azure Databricks
Show steps
-
Create an Azure Databricks account.
-
Locate and access relevant labs.
-
Follow lab instructions and complete exercises.
Practice SQL queries with Spark Structured Streaming
Show steps
Reinforce your SQL skills and apply them to Spark Structured Streaming for efficient data processing and transformation.
Browse courses on
SQL
Show steps
-
Create a dataset for practice
-
Write SQL queries to extract, filter, and aggregate data using Spark Structured Streaming
-
Test and refine your queries for optimal performance
Practice Data Loading
Show steps
Develop your skills loading data into various sinks.
Browse courses on
Azure Databricks
Show steps
-
Create a sample data stream.
-
Create a data sink, such as an Azure Data Lake container.
-
Write data from the stream to the sink using Spark Structured Streaming.
Practice Spark Structured Streaming with PySpark Exercises
Show steps
Sharpen your coding skills by solving hands-on exercises using PySpark and Spark Structured Streaming.
Browse courses on
Pyspark
Show steps
-
Find or create a dataset for streaming.
-
Write PySpark code to implement streaming data operations.
-
Analyze and interpret the results.
Attend Azure Databricks workshops or webinars
Show steps
Expand your knowledge and connect with experts by attending Azure Databricks workshops or webinars to gain practical insights and industry best practices.
Browse courses on
Azure Databricks
Show steps
-
Search for upcoming Azure Databricks workshops or webinars
-
Register and attend the event
-
Actively participate, ask questions, and network with other attendees
Workshop: Building End-to-End Streaming Pipelines with Spark Structured Streaming
Show steps
Attend a workshop to learn best practices and techniques for building streaming pipelines.
Browse courses on
Azure Databricks
Show steps
-
Register for the workshop.
-
Prepare for the workshop by reviewing the course materials.
-
Attend the workshop and actively participate.
-
Apply the knowledge and skills gained in the workshop to your own projects.
Build a Streaming Data Pipeline using Spark Structured Streaming
Show steps
Demonstrate your proficiency by creating a complete streaming data pipeline from scratch.
Browse courses on
Spark Structured Streaming
Show steps
-
Plan and design the pipeline architecture.
-
Implement data ingestion, transformation, and storage using Spark Structured Streaming.
-
Deploy and monitor the pipeline on Azure Databricks.
Build a mini streaming pipeline using Azure Databricks
Show steps
Demonstrate your understanding by creating a small-scale streaming pipeline using Azure Databricks and Spark Structured Streaming.
Browse courses on
Spark Structured Streaming
Show steps
-
Design and define the pipeline architecture
-
Implement data sources, transformations, and sinks using Spark Structured Streaming
-
Test and validate the pipeline's functionality and performance
Build a Real-World Streaming Pipeline
Show steps
Gain practical experience by building a streaming pipeline that solves a real-world problem.
Browse courses on
Azure Databricks
Show steps
-
Identify a business problem that can be solved using a streaming pipeline.
-
Design and implement the streaming pipeline using Spark Structured Streaming.
-
Deploy and monitor the streaming pipeline in Azure Databricks.
-
Evaluate the performance and effectiveness of the streaming pipeline.
Write a blog post or article on Spark Structured Streaming
Show steps
Solidify your understanding by creating a blog post or article that explains concepts, shares examples, and provides your own insights on Spark Structured Streaming.
Browse courses on
Spark Structured Streaming
Show steps
-
Choose a specific topic or aspect of Spark Structured Streaming to focus on
-
Research and gather information from reliable sources
-
Write and structure your content in a clear and engaging manner
-
Proofread and edit your work for accuracy and clarity
-
Publish your blog post or article on a relevant platform
Review Azure Databricks documentation
Show steps
Refresh your understanding of Azure Databricks and its components to ensure you're well-prepared for the course.
Browse courses on
Azure Databricks
Show steps
Show steps
Show steps
- Access Azure Databricks documentation
- Review concepts related to Spark Structured Streaming
- Explore documentation on Azure Data Lake, Event Hubs, and SQL within Azure Databricks
Read Spark: The Definitive Guide
Show steps
Reinforce your understanding of Spark SQL and Structured Streaming through a comprehensive book review.
View
Spark: The Definitive Guide: Big Data...
on Amazon
Show steps
Show steps
Show steps
- Acquire a copy of the book.
- Read chapters relevant to the course, focusing on Spark SQL and Structured Streaming concepts.
- Take notes and summarize key concepts.
Join a Study Group for Spark Structured Streaming
Show steps
Engage with peers, exchange knowledge, and clarify concepts through regular study sessions.
Browse courses on
Spark Structured Streaming
Show steps
Show steps
Show steps
- Find or create a study group with other students taking the course.
- Meet regularly to discuss course materials, share insights, and solve problems together.
14 other activities
Expand to see all activities and additional details
Show all 17 activities
Organize and review course materials
Show steps
Stay organized and optimize your learning by compiling and reviewing essential course materials, ensuring you have a comprehensive understanding of the subject.
Show steps
Show steps
Show steps
- Gather and organize notes, assignments, quizzes, and exams
- Review materials regularly to reinforce your understanding
Join a study group or connect with peers
Show steps
Engage with fellow learners to exchange knowledge, discuss concepts, and enhance your understanding through collaborative learning.
Show steps
Show steps
Show steps
- Identify or join a study group or online community focused on Azure Databricks and Spark Structured Streaming
- Participate in discussions, ask questions, and share your insights
Explore Microsoft's Azure Databricks tutorials
Show steps
Supplement your learning by exploring Microsoft's official Azure Databricks tutorials for additional insights and practical examples.
Browse courses on
Azure Databricks
Show steps
Show steps
Show steps
- Access Azure Databricks tutorials
- Follow tutorials relevant to Spark Structured Streaming and Azure Databricks
- Experiment with code examples and apply them to your own projects
Tutorial: Create a Streaming Pipeline in Azure Databricks
Show steps
Follow a step-by-step tutorial to build a streaming pipeline.
Show steps
Show steps
Show steps
- Set up your Azure Databricks environment.
- Create a streaming DataFrame from a data source.
- Transform the data using Spark SQL operations.
- Write the transformed data to a data sink.
Complete Databricks Labs Exercises
Show steps
Enhance your practical skills by completing guided lab exercises on Azure Databricks.
Browse courses on
Azure Databricks
Show steps
Show steps
Show steps
- Create an Azure Databricks account.
- Locate and access relevant labs.
- Follow lab instructions and complete exercises.
Practice SQL queries with Spark Structured Streaming
Show steps
Reinforce your SQL skills and apply them to Spark Structured Streaming for efficient data processing and transformation.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Create a dataset for practice
- Write SQL queries to extract, filter, and aggregate data using Spark Structured Streaming
- Test and refine your queries for optimal performance
Practice Data Loading
Show steps
Develop your skills loading data into various sinks.
Browse courses on
Azure Databricks
Show steps
Show steps
Show steps
- Create a sample data stream.
- Create a data sink, such as an Azure Data Lake container.
- Write data from the stream to the sink using Spark Structured Streaming.
Practice Spark Structured Streaming with PySpark Exercises
Show steps
Sharpen your coding skills by solving hands-on exercises using PySpark and Spark Structured Streaming.
Browse courses on
Pyspark
Show steps
Show steps
Show steps
- Find or create a dataset for streaming.
- Write PySpark code to implement streaming data operations.
- Analyze and interpret the results.
Attend Azure Databricks workshops or webinars
Show steps
Expand your knowledge and connect with experts by attending Azure Databricks workshops or webinars to gain practical insights and industry best practices.
Browse courses on
Azure Databricks
Show steps
Show steps
Show steps
- Search for upcoming Azure Databricks workshops or webinars
- Register and attend the event
- Actively participate, ask questions, and network with other attendees
Workshop: Building End-to-End Streaming Pipelines with Spark Structured Streaming
Show steps
Attend a workshop to learn best practices and techniques for building streaming pipelines.
Browse courses on
Azure Databricks
Show steps
Show steps
Show steps
- Register for the workshop.
- Prepare for the workshop by reviewing the course materials.
- Attend the workshop and actively participate.
- Apply the knowledge and skills gained in the workshop to your own projects.
Build a Streaming Data Pipeline using Spark Structured Streaming
Show steps
Demonstrate your proficiency by creating a complete streaming data pipeline from scratch.
Browse courses on
Spark Structured Streaming
Show steps
Show steps
Show steps
- Plan and design the pipeline architecture.
- Implement data ingestion, transformation, and storage using Spark Structured Streaming.
- Deploy and monitor the pipeline on Azure Databricks.
Build a mini streaming pipeline using Azure Databricks
Show steps
Demonstrate your understanding by creating a small-scale streaming pipeline using Azure Databricks and Spark Structured Streaming.
Browse courses on
Spark Structured Streaming
Show steps
Show steps
Show steps
- Design and define the pipeline architecture
- Implement data sources, transformations, and sinks using Spark Structured Streaming
- Test and validate the pipeline's functionality and performance
Build a Real-World Streaming Pipeline
Show steps
Gain practical experience by building a streaming pipeline that solves a real-world problem.
Browse courses on
Azure Databricks
Show steps
Show steps
Show steps
- Identify a business problem that can be solved using a streaming pipeline.
- Design and implement the streaming pipeline using Spark Structured Streaming.
- Deploy and monitor the streaming pipeline in Azure Databricks.
- Evaluate the performance and effectiveness of the streaming pipeline.
Write a blog post or article on Spark Structured Streaming
Show steps
Solidify your understanding by creating a blog post or article that explains concepts, shares examples, and provides your own insights on Spark Structured Streaming.
Browse courses on
Spark Structured Streaming
Show steps
Show steps
Show steps
- Choose a specific topic or aspect of Spark Structured Streaming to focus on
- Research and gather information from reliable sources
- Write and structure your content in a clear and engaging manner
- Proofread and edit your work for accuracy and clarity
- Publish your blog post or article on a relevant platform
Career center
Learners who complete Handling Streaming Data with Azure Databricks Using Spark Structured Streaming will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
This course will teach you how to build end-to-end streaming pipelines using Apache Spark and Azure Databricks. These pipelines are essential for processing large amounts of real-time data, which is becoming increasingly common in various industries. As a Data Engineer, you will be responsible for designing, developing, and maintaining these pipelines to ensure that data is processed efficiently and accurately. This course will provide you with the skills and knowledge you need to be successful in this role.
Data Scientist
Data Scientist
This course will teach you how to use Spark Structured Streaming to build complex streaming pipelines that can process real-time data. As a Data Scientist, you will be using these pipelines to analyze data, identify trends, and build predictive models. This course will provide you with the skills and knowledge you need to be successful in this role.
Software Engineer
Software Engineer
This course will teach you how to use Apache Spark and Azure Databricks to build and manage streaming data pipelines. This is a valuable skill for Software Engineers who want to work with big data and real-time applications. This course will provide you with the skills and knowledge you need to be successful in this role.
Cloud Engineer
Cloud Engineer
This course will teach you how to use Apache Spark and Azure Databricks to build and manage streaming data pipelines in the cloud. This is a valuable skill for Cloud Engineers who want to work with big data and real-time applications. This course will provide you with the skills and knowledge you need to be successful in this role.
Data Analyst
Data Analyst
This course will teach you how to use Spark Structured Streaming to build streaming pipelines that can process real-time data. As a Data Analyst, you will be using these pipelines to analyze data, identify trends, and build reports. This course will provide you with the skills and knowledge you need to be successful in this role.
Machine Learning Engineer
Machine Learning Engineer
This course will teach you how to use Spark Structured Streaming to build streaming pipelines that can process real-time data. As a Machine Learning Engineer, you will be using these pipelines to train and deploy machine learning models. This course will provide you with the skills and knowledge you need to be successful in this role.
Business Analyst
Business Analyst
This course will teach you how to use Spark Structured Streaming to build streaming pipelines that can process real-time data. As a Business Analyst, you will be using these pipelines to analyze data and identify trends that can help businesses make better decisions. This course will provide you with the skills and knowledge you need to be successful in this role.
Product Manager
Product Manager
This course will teach you how to use Spark Structured Streaming to build streaming pipelines that can process real-time data. As a Product Manager, you will be using these pipelines to track key metrics and identify areas for improvement. This course will provide you with the skills and knowledge you need to be successful in this role.
Marketing Analyst
Marketing Analyst
This course will teach you how to use Spark Structured Streaming to build streaming pipelines that can process real-time data. As a Marketing Analyst, you will be using these pipelines to track marketing campaigns and identify areas for improvement. This course will provide you with the skills and knowledge you need to be successful in this role.
Sales Analyst
Sales Analyst
This course will teach you how to use Spark Structured Streaming to build streaming pipelines that can process real-time data. As a Sales Analyst, you will be using these pipelines to track sales data and identify trends that can help businesses increase sales. This course will provide you with the skills and knowledge you need to be successful in this role.
Financial Analyst
Financial Analyst
This course will teach you how to use Spark Structured Streaming to build streaming pipelines that can process real-time data. As a Financial Analyst, you will be using these pipelines to analyze financial data and identify trends that can help businesses make better decisions. This course will provide you with the skills and knowledge you need to be successful in this role.
Operations Analyst
Operations Analyst
This course will teach you how to use Spark Structured Streaming to build streaming pipelines that can process real-time data. As an Operations Analyst, you will be using these pipelines to track operational data and identify areas for improvement. This course will provide you with the skills and knowledge you need to be successful in this role.
Risk Analyst
Risk Analyst
This course will teach you how to use Spark Structured Streaming to build streaming pipelines that can process real-time data. As a Risk Analyst, you will be using these pipelines to track risk data and identify areas for improvement. This course will provide you with the skills and knowledge you need to be successful in this role.
Compliance Analyst
Compliance Analyst
This course will teach you how to use Spark Structured Streaming to build streaming pipelines that can process real-time data. As a Compliance Analyst, you will be using these pipelines to track compliance data and identify areas for improvement. This course will provide you with the skills and knowledge you need to be successful in this role.
Security Analyst
Security Analyst
This course will teach you how to use Spark Structured Streaming to build streaming pipelines that can process real-time data. As a Security Analyst, you will be using these pipelines to track security data and identify areas for improvement. This course will provide you with the skills and knowledge you need to be successful in this role.
For more career information including salaries, visit:
OpenCourser.com/course/2q4nr7/handling
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Handling Streaming Data with Azure Databricks Using Spark Structured Streaming.
Practical guide to building production-ready streaming applications with Apache Spark. It covers all aspects of Spark Streaming development, from design and implementation to deployment and monitoring.
Save
Not only does this book provide an overview of Spark, it also delves into the details of developing and optimizing Spark applications, and includes practical tips and tricks for working with Spark in production environments.
Provides a comprehensive overview of data analytics with Hadoop and Spark. It covers various aspects of data analytics, including data preparation, data exploration, and data visualization.
Provides a comprehensive guide to advanced analytics with Spark. It covers various aspects of advanced analytics, including machine learning, graph processing, and real-time data processing.
Is the definitive guide to Apache Spark. It covers all aspects of Spark, from installation and setup to advanced topics such as machine learning and graph processing.
While this book does not focus on Spark Structured Streaming specifically, it provides a practical guide to using PyTorch for deep learning tasks, including image classification, object detection, and natural language processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2q4nr7/handling
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Time
148 hours
Level
Advanced
Via
Pluralsight
Instructor
Mohit Batra
Language
English
Good to know
Taught by instructors recognized for their work in this specific topic
Examines industry-standard practices in the field
Develops in-demand skills highly relevant to the industry
Includes both lectures and hands-on labs
Requires students to have some prior knowledge in the field
Teaches skills and knowledge that may become outdated in the future
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