We may earn an affiliate commission when you visit our partners.
Spark
David Drummond
and
Judit Lantos
David Drummond
and
Judit Lantos
Learn Spark with Udacity and master how to work with big data and build machine learning models at scale using Spark. Learn online with Udacity.
Register for this course and see more details by visiting:
OpenCourser.com/course/fbgx2x/spar
What's inside
Syllabus
In this lesson, you will learn more about this course - what will be covered, and who you will be learning from - let's get started!
In this lesson, you will learn about the problems that Apache Spark is designed to solve. You'll also learn about the greater Big Data ecosystem and how Spark fits into it.
Read more
Syllabus
In this lesson, you will learn more about this course - what will be covered, and who you will be learning from - let's get started!
In this lesson, you will learn about the problems that Apache Spark is designed to solve. You'll also learn about the greater Big Data ecosystem and how Spark fits into it.
Read more
In this lesson, we'll dive into how to use Spark for cleaning and aggregating data.
In this lesson, you will learn to run Spark on a distributed cluster in AWS UI and AWS CLI.
In this lesson, you will learn best practices for debugging and optimizing your Spark applications.
In this lesson, we'll explore Spark's ML capabilities and build ML models and pipelines.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches learners how to perform data cleaning and aggregation at scale
Helps learners develop proficiency with a tool used in industry and academia
Provides foundational concepts and practical applications for data science
Offers hands-on labs and interactive materials for better understanding
Save this course
Save Spark to your list so you can find it easily later:
Save
Save
Activities
Coming soon
We're preparing activities for
Spark.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Spark will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. They work with big data technologies such as Apache Spark to process and analyze large amounts of data. This course can help you build a strong foundation in Spark, which is a key skill for Data Engineers. You will learn how to use Spark to clean and aggregate data, run Spark on a distributed cluster, and debug and optimize your Spark applications.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. They use a variety of tools and techniques to analyze data, build machine learning models, and communicate their findings. This course can help you build a strong foundation in Spark, which is a key tool for Data Scientists. You will learn how to use Spark to clean and aggregate data, run Spark on a distributed cluster, and debug and optimize your Spark applications.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer builds, deploys, and maintains machine learning models. They work with big data technologies such as Apache Spark to process and analyze large amounts of data. This course can help you build a strong foundation in Spark, which is a key skill for Machine Learning Engineers. You will learn how to use Spark to clean and aggregate data, run Spark on a distributed cluster, and debug and optimize your Spark applications.
Software Engineer
Software Engineer
A Software Engineer designs, builds, and maintains software applications. They work with a variety of technologies, including big data technologies such as Apache Spark. This course can help you build a strong foundation in Spark, which is a valuable skill for Software Engineers. You will learn how to use Spark to clean and aggregate data, run Spark on a distributed cluster, and debug and optimize your Spark applications.
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. They use a variety of tools and techniques to analyze data, including big data technologies such as Apache Spark. This course can help you build a strong foundation in Spark, which is a valuable skill for Data Analysts. You will learn how to use Spark to clean and aggregate data, run Spark on a distributed cluster, and debug and optimize your Spark applications.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and data to identify areas for improvement. They use a variety of tools and techniques to analyze data, including big data technologies such as Apache Spark. This course can help you build a strong foundation in Spark, which is a valuable skill for Business Analysts. You will learn how to use Spark to clean and aggregate data, run Spark on a distributed cluster, and debug and optimize your Spark applications.
Management Consultant
Management Consultant
A Management Consultant advises businesses on how to improve their operations. They work with a variety of stakeholders, including executives, managers, and employees. This course can help you build a strong foundation in Spark, which is a valuable skill for Management Consultants. You will learn how to use Spark to analyze data and identify trends and patterns.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for the development and implementation of marketing campaigns. They work with a variety of stakeholders, including customers, partners, and the media. This course can help you build a strong foundation in Spark, which is a valuable skill for Marketing Managers. You will learn how to use Spark to analyze data and identify trends and patterns.
Sales Manager
Sales Manager
A Sales Manager is responsible for the development and implementation of sales strategies. They work with a variety of stakeholders, including customers, partners, and the media. This course can help you build a strong foundation in Spark, which is a valuable skill for Sales Managers. You will learn how to use Spark to analyze data and identify trends and patterns.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical models to solve business problems. They work with a variety of stakeholders, including engineers, managers, and executives. This course can help you build a strong foundation in Spark, which is a valuable skill for Operations Research Analysts. You will learn how to use Spark to analyze data and identify trends and patterns.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to identify investment opportunities. They work with a variety of stakeholders, including investors, banks, and corporations. This course can help you build a strong foundation in Spark, which is a valuable skill for Financial Analysts. You will learn how to use Spark to analyze data and identify trends and patterns.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. They work with a variety of stakeholders, including engineers, designers, and marketers. This course can help you build a strong foundation in Spark, which is a valuable skill for Product Managers. You will learn how to use Spark to analyze data and identify trends and patterns.
Data Journalist
Data Journalist
A Data Journalist uses data to tell stories. They work with a variety of stakeholders, including editors, producers, and the public. This course can help you build a strong foundation in Spark, which is a valuable skill for Data Journalists. You will learn how to use Spark to analyze data and identify trends and patterns.
Academic Researcher
Academic Researcher
An Academic Researcher conducts research in a variety of fields, including science, engineering, and the social sciences. This course can help you build a strong foundation in Spark, which is a valuable skill for Academic Researchers. You will learn how to use Spark to analyze data and identify trends and patterns. This course may also be helpful for those who wish to pursue a career in academia.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data. They work with a variety of stakeholders, including researchers, businesses, and governments. This course can help you build a strong foundation in Spark, which is a valuable skill for Statisticians. You will learn how to use Spark to analyze data and identify trends and patterns.
For more career information including salaries, visit:
OpenCourser.com/course/fbgx2x/spar
Reading list
We've selected five 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
Spark.
Is the definitive guide to Spark. It covers everything from the basics of Spark to advanced topics such as graph analytics and machine learning.
Save
Provides a comprehensive overview of the Apache Spark ecosystem, including its architecture, components, and use cases. It valuable resource for anyone looking to gain a deeper understanding of Spark and its applications.
Save
Practical guide to using Spark for big data analytics. It covers a wide range of topics, from data ingestion and processing to machine learning and graph analytics.
Provides a comprehensive overview of Spark for data scientists and engineers. It covers a wide range of topics, from dataframes and SQL to machine learning and deep learning.
Provides an in-depth look at advanced analytics with Spark. It covers a wide range of topics, from graph analytics and streaming to machine learning and deep learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fbgx2x/spar
Share
Similar courses
Here are nine courses similar to
Spark.
Data lakes and Lakehouses with Spark and Azure Databricks
OpenCourser.com/course/6zwjhn/data
Data lakes and Lakehouses with Spark and Azure Databricks
Apache Spark 3 Fundamentals
OpenCourser.com/course/m2t6h8/apache
Apache Spark 3 Fundamentals
Spark and Python for Big Data with PySpark
OpenCourser.com/course/aykdyc/spark
Spark and Python for Big Data with PySpark
Scala and Spark for Big Data and Machine Learning
OpenCourser.com/course/hu8nd8/scala
Scala and Spark for Big Data and Machine Learning
Explore stock prices with Spark SQL
OpenCourser.com/course/lxobuu/explore
Explore stock prices with Spark SQL
Apache Spark for Data Engineering and Machine Learning
OpenCourser.com/course/p1xkqd/apache
Apache Spark for Data Engineering and Machine Learning
Developing Spark Applications Using Scala & Cloudera
OpenCourser.com/course/y90x0l/developing
Developing Spark Applications Using Scala & Cloudera
Getting Started with Apache Spark on Databricks
OpenCourser.com/course/cb2ein/getting
Getting Started with Apache Spark on Databricks
Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru
OpenCourser.com/course/7xe8ca/apache
Apache Spark 2.0 with Java -Learn Spark from a Big Data...
Effort
8 hours
Via
Udacity
Instructors
David Drummond
Judit Lantos
Language
English
Good to know
Teaches learners how to perform data cleaning and aggregation at scale
Helps learners develop proficiency with a tool used in industry and academia
Provides foundational concepts and practical applications for data science
Offers hands-on labs and interactive materials for better understanding
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser