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Taming Big Data using Spark & Python

Working on Big Data Projects & writing CCA 175 Made Easy with project scenarios & Practice questions for CCA 175
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3 students
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8.2

Classbaze Grade®

6.1

Freshness

N/A

Popularity

9.8

Material

Working on Big Data Projects & writing CCA 175 Made Easy with project scenarios & Practice questions for CCA 175
Platform: Udemy
Video: 23h 18m
Language: English
Next start: On Demand

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Classbaze Rating

Classbaze Grade®

8.2 / 10

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

Freshness

6.1 / 10
This course was last updated on 3/2019.

Course content can become outdated quite quickly.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

We analyzed factors such as the rating (0.0/5) 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

9.8 / 10
Video Score: 10.0 / 10
The course includes 23h 18m 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: 9.8 / 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: 9.5 / 10

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

This course contains:

0 article.
3 resources.
0 exercise.
0 test.

In this page

About the course

The Course is for those who do not know even ABC of Big Data and tools, want to learn them and be in a comfortable situation to implement them in projects. The course is also for those, who have some knowledge on Big Data tools, but want to enhance them further and be comfortable working in Projects. Due to the extensive scenario implementation, the course is also suitable for people interested to write Big Data Certifications like CCA 175. The course contains Practice Test for CCA 175.

The course is being provided with fully functional Big Data labs on Cloudera & Windows VMs, you need not to buy cluster very often to practice the tools. Hence, the Course is ONE TIME INVESTMENT for secure future.

In the course, we will learn how to utilize Big Data tools like Hadoop, Flume, Kafka, Spark, Scala (the most valuable tech skills on the market today).

In this course I will show you how to –

1. Use Python and Spark to analyze Big Data.
2. Practice Test for writing CCA 175 Exam is available at the end of the course.
3. Extensive and Real time project scenarios with solutions as you will write in REAL PROJECTS
4. Use Sqoop to import data from Traditional Relational Databases to HDFS & Hive.
5. Use Flume and Kafka to process streaming data
6. Use Hive to view and store data & Partition the tables
7. Use Spark Streaming to fetch the streaming data from Kafka & Flume

Big Data is the most in demand skills right now, and with this course you can learn them quickly and easily! You can also learn the components in the basic setup in files like “hdfs-site.xml”, “core-site.xml” etc  They are good to know if working for a project.

The course is focused on upskilling someone who do not know Big Data tools and target is to bring them up-to the mark to be able to work in Big Data projects seamlessly without issues.

This course comes with project scenarios and multiple datasets to work on with.

After completing this course you will feel comfortable putting Big Data, Python and Spark on your resume and also will be easily able to work and implement in projects!

Thanks and I will see you inside the course!

What can you learn from this course?

✓ Big Data and its EcoSystem like Hadoop , Sqoop, Hive, Flume, Kafka, Spark using Python, Spark SQL & Spark Streaming
✓ Both the Concepts (Theories & Architectures) + Practicals
✓ Assignments & Projects Scenarios for Real Projects
✓ Practice questions for CCA 175 Certification
✓ Process continual streams of data with Spark Streaming
✓ Build, deploy, and run Spark scripts on Hadoop clusters
✓ Transform structured data using SparkSQL and DataFrames

What you need to start the course?

• Basic programming skills
• Cloudera Quickstart VM or Your Own Hadoop Setup. You can use VM either with the course without any issues
• A Laptop with Minimum RAM of 6GB to support VM (If using the VM provided in the course). You can do your own installation on local following the course
• Having SQL skills would be advantageous

Who is this course is made for?

• The course is designed to be used for all who want to learn and move to Big Data Technologies.
• Those who want to get a real feel of project like scenarios along with learning the concepts
• ONE Stop Shop for Required Big Data Tools with Theories, Concepts, Practicals, Practice Scenarios & Project Scenarios using Python Programming Langiage

Are there coupons or discounts for Taming Big Data using Spark & Python ? What is the current price?

The course costs $79.99.
The average price is $17.1 of 113 Apache Spark courses. So this course is 368% more expensive than the average Apache Spark course on Udemy.

Will I be refunded if I'm not satisfied with the Taming Big Data using Spark & Python course?

YES, Taming Big Data using Spark & Python 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?

At the moment we could not find an available financial aid for Taming Big Data using Spark & Python.

Who will teach this course? Can I trust Anshul Roy?

Anshul Roy has created 5 courses that got 141 reviews which are generally positive. Anshul Roy has taught 2,348 students and received a 3.2 average review out of 141 reviews. Depending on the information available, we think that Anshul Roy is an instructor that you can trust.
Machine Learning Engineer @ Adastra Germany
I am an experience Machine Learning Engineer having expertise in Big Data Technologies & BI Tools (IBM Datastage). I have experience on Implementing Machine Learning using Spark, Scala & Python. I am also an experienced Datastage, Python, Spark, Scala, R & Machine Learning trainer, enrolled with many consultancies. I also work as freelancer in my free time.
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8.2

Classbaze Grade®

6.1

Freshness

N/A

Popularity

9.8

Material

Platform: Udemy
Video: 23h 18m
Language: English
Next start: On Demand

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