What you’ll learn
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Complete Development of Real Time Streaming Data Pipeline using Hadoop and Spark Cluster on Docker
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Setting up Single Node Hadoop and Spark Cluster on Docker
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Features of Spark Structured Streaming using Spark with Scala
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Features of Spark Structured Streaming using Spark with Python(PySpark)
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How to use PostgreSQL with Spark Structured Streaming
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Basic understanding of Apache Kafka
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How to build Data Visualisation using Django Web Framework and Flexmonster
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Fundamentals of Docker and Containerization
Who this course is for:
- Beginners who want to learn Apache Spark/Big Data Project Development Process and Architecture
- Beginners who want to learn Real Time Streaming Data Pipeline Development Process and Architecture
- Entry/Intermediate level Data Engineers and Data Scientist
- Data Engineering and Data Science Aspirants
- Data Enthusiast who want to learn, how to develop and run Spark Application on Docker
- Anyone who is really willingness to become Big Data/Spark Developer
Can I download Real Time Spark Project for Beginners: Hadoop, Spark, Docker course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Real Time Spark Project for Beginners: Hadoop, Spark, Docker course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
