Question 1

What is Apache Spark, and why is it important to learn?

Accepted Answer

Apache Spark is an open source analytics framework for large-scale data processing with capabilities for streaming, SQL, machine learning, and graph processing. Apache Spark is important to learn because its ease of use and extreme processing speeds enable efficient and scalable real-time data analysis.

Apache Spark can process in-memory on dedicated clusters to achieve speeds 10-100 times faster than the disc-based batch processing Apache Hadoop with MapReduce can provide, making it a top choice for anyone processing big data. Spark is also easy to use, with the ability to write applications in its native Scala, or in Python, Java, R, or SQL. This versatility and accessibility helps startups harness the powerful data science they need for cutting edge innovation.

Spark also provides the scalable machine learning needed by artificial intelligence (AI) engineers to create applications that can transform the way we interact with digital technology, from recommendation algorithms on services like Netflix and Spotify to automated medical screening.

Question 2

What kinds of careers can I have with Apache Spark skills?

Accepted Answer

Many careers in data science benefit from skills in Apache Spark, as software development engineers, data scientists, data analysts, and machine learning engineers use Spark on a daily basis. These roles are in high demand and are thus highly compensated; according to Glassdoor, machine learning engineers earn an average salary of $114,121 per year.

Machine learning engineers design and build self-learning software and monitor its iterations to fine tune how models perform when they are scaled up and put into service. These professionals need a background in both software engineering and data science, and are increasingly being hired in a wide variety of fields such as education, healthcare, and finance. As machine learning continues to expand into many more fields, the need for machine learning engineers will continue to grow.

Question 3

Can I learn Apache Spark skills by taking online courses on Coursera?

Accepted Answer

Yes! Coursera offers a wide range of popular online courses and Specializations on data science in general and Apache Spark specifically, including courses in related topics like scalable machine learning, distributed computing, and big data analysis. You’ll learn from top-ranked institutions and organizations like the University of California Davis, the University of California San Diego, École Polytechnique Fédérale de Lausanne, and IBM, so you don’t have to sacrifice the quality of your education for the flexibility of learning remotely.

Coursera also offers the courses needed to work towards the IBM AI Engineering Professional Certificate. And, if you want to take your data science education to the next level, Coursera provides you with the opportunity to pursue a Master of Science in Data Science through the University of Colorado.

Question 4

What skills or experience do I need to already have before starting to learn Apache Spark?

Accepted Answer

Because Spark works in application programming interfaces like Scala, Java, and Python, it helps to have a good grasp of one or more of these programming languages. Other prerequisites may vary depending on the level of the course you're taking. While beginner-level courses allow you to become familiar with Apache Spark and develop skills as you go, intermediate or advanced courses may require additional skills or experience within data science or computer programming. As you progress with learning Apache Spark, you'll develop the skills needed to read and write data to a variety of sources, parse different types of data, work within the artificial intelligence and machine learning arena, and transform data to leverage insights from it.

Question 5

What kind of people are best suited for roles in Apache Spark?

Accepted Answer

People with a passion for data science and a desire to gain increased access to big data are well suited to learning Apache Spark. This tool opens a variety of opportunities for users to explore big data and leverage it to solve key problems within organizations. Additionally, Spark offers a faster pace for machine learning workloads, with large scale data processing capability that's exponentially faster than other tools like Hadoop. Because Apache Spark is on the front lines of innovation within AI and big data, those with an innate sense of curiosity and a desire to innovate are among those best suited to learning Spark and working in relevant roles.

Question 6

How do I know if learning Apache Spark is right for me?

Accepted Answer

If you want to work within big data, learning Apache Spark could be a good move for you. This unified analytics engine is particularly popular because of its speed, the libraries that come with it, robust APIs, and its support for multiple programming languages. Additionally, it could be a smart career move depending on your aspirations. Demand continues to surge for professionals who can leverage Spark's power. In February 2021, Indeed.com listed more than 1,800 open positions looking for full-time Apache Spark professionals across multiple industries. Additionally, according to Databricks, learning Apache Sparks could give you a boost in your earning potential.

Question 7

What are the benefits of taking an online Apache Spark course?

Accepted Answer

Online Apache Spark courses offer a convenient and flexible way to enhance your existing knowledge or learn new Apache Spark skills. With a wide range of Apache Spark classes, you can conveniently learn at your own pace to advance your Apache Spark career.

Question 8

What Apache Spark courses are best for training and upskilling employees or the workforce?

Accepted Answer

When looking to enhance your workforce's skills in Apache Spark, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.

Filter by

Results for "apache spark"

Data Analysis Using Pyspark

AI Workflow: Enterprise Model Deployment

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

Machine Learning With Big Data

Data Management with Databricks: Big Data with Delta Lakes

Machine Learning with Spark on Google Cloud Dataproc

Functional Programming in Scala Capstone

Big Data Analysis with Scala and Spark (Scala 2 version)

Dataproc: Qwik Start - Console

Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud

Engineering Data Ecosystems: Pipelines, ETL, Spark

Building Scalable Java Microservices with Spring Boot and Spring Cloud

Searches related to apache spark

In summary, here are 10 of our most popular apache spark courses

Skills you can learn in Machine Learning

Frequently Asked Questions about Apache Spark

What is Apache Spark, and why is it important to learn?‎

What kinds of careers can I have with Apache Spark skills?‎

Can I learn Apache Spark skills by taking online courses on Coursera?‎

What skills or experience do I need to already have before starting to learn Apache Spark?‎

What kind of people are best suited for roles in Apache Spark?‎

How do I know if learning Apache Spark is right for me?‎

What are the benefits of taking an online Apache Spark course?‎

What Apache Spark courses are best for training and upskilling employees or the workforce?‎

Other topics to explore