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Apache Spark with Databricks

Course to implement Big Data's Apache Spark on Databricks using a Microsoft's cloud service - Azure
2.9
2.9/5
(289 reviews)
1,153 students
Created by

7.6

Classbaze Grade®

6.8

Freshness

6.3

Popularity

9.1

Material

Course to implement Big Data's Apache Spark on Databricks using a Microsoft's cloud service - Azure
Platform: Udemy
Video: 3h 0m
Language: English
Next start: On Demand

Best Apache Spark classes:

Classbaze Rating

Classbaze Grade®

7.6 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

6.8 / 10
This course was last updated on 9/2019.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

6.3 / 10
We analyzed factors such as the rating (2.9/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.1 / 10
Video Score: 8.0 / 10
The course includes 3h 0m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 47 minutes of 113 Apache Spark courses on Udemy.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

3 articles.
15 resources.
0 exercise.
0 test.

In this page

About the course

In this course you will learn the basics of creating Spark jobs, loading data, and working with data. You’ll also get an introduction to running machine learning algorithms and working with streaming data. Databricks lets you start writing Spark queries instantly so you can focus on your data problems.
Azure Databricks accelerate big data analytics and artificial intelligence (AI) solutions, a fast, easy and collaborative Apache Spark–based analytics service.
Why Azure Databricks?
Productive : Launch your new Apache Spark environment in minutes.
Scalable : Globally scale your analytics and machine learning projects.
Trusted : Help protect your data and business with Azure AD integration, role-based controls and enterprise-grade SLAs.
Flexible : Build machine learning and AI solutions with your choice of language and deep learning frameworks.
We believe that when you learn something, you should be able to apply it somewhere. So, in this course, we are also providing you with some of the important spark interview questions , which will help you to crack the interview with flying colors.
We believe that when you learn something, you should be able to apply it somewhere. So, in this course, we are also providing you with some of the important spark interview questions , which will help you to crack the interview with flying colors.

What can you learn from this course?

✓ This course will provide you an in depth knowledge of apache Spark and how to work with spark using Azure Databricks.
✓ You will learn to Provision your own Databricks workspace using Azure cloud.
✓ You will be able to create application on Azure Databricks after completing the course
✓ You will be able to process continual streams of data with Spark streaming using azure event Hub
✓ Transform structured data using SparkSQL and Dataframes
✓ Build a binary classification application using the Mlib pipelines API.

What you need to start the course?

• Some Prior scripting knowledge, anyways we will be explainig all the codes line by line whichever we will be using in our labs
• Free or paid subscription for Microsoft Azure portal.

Who is this course is made for?

• Anyone who wants to learn Spark using Azure Databricks

Are there coupons or discounts for Apache Spark with Databricks ? What is the current price?

The course costs $19.99. And currently there is a 84% discount on the original price of the course, which was $124.99. So you save $105 if you enroll the course now.
The average price is $17.1 of 113 Apache Spark courses. So this course is 17% more expensive than the average Apache Spark course on Udemy.

Will I be refunded if I'm not satisfied with the Apache Spark with Databricks course?

YES, Apache Spark with Databricks has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Apache Spark with Databricks course, but there is a $105 discount from the original price ($124.99). So the current price is just $19.99.

Who will teach this course? Can I trust Big Data Trunk?

Big Data Trunk has created 8 courses that got 2,221 reviews which are generally positive. Big Data Trunk has taught 49,552 students and received a 3.9 average review out of 2,221 reviews. Depending on the information available, we think that Big Data Trunk is an instructor that you can trust.
All about Big Data and Hadoop
Big Data Trunk is the leading Big Data focus consulting and training firm founded by industry veterans in data domain. It helps is customer gain competitive advantage from open source, big data, cloud and advanced analytics. It provides services like Strategy Consulting, Advisory Consulting and high quality classroom individual and corporate training.
Browse all courses by on Classbaze.

7.6

Classbaze Grade®

6.8

Freshness

6.3

Popularity

9.1

Material

Platform: Udemy
Video: 3h 0m
Language: English
Next start: On Demand

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