Comments Off on 90% Off Taming Big Data with Spark Streaming and Scala – Hands On! | Coupon Codes
Course Info & Coupon Details
This course will teach you to process massive streams of data in real time on a cluster with Apache Spark Streaming. I recommend taking this course, “Taming Big Data with Spark Streaming and Scala – Hands On!” by Frank Kane.
Course name: Taming Big Data with Spark Streaming and Scala – Hands On!
Course instructor: Frank Kane (Founder, Sundog Education – Training the World in Big Data and Machine Learning)
Description Course: Learn to process massive streams of data in real time on a cluster with Apache Spark Streaming.
Online course: 36 lectures, All Levels
Video length: 6 hours
Categories: Data & Analytics
Students & Ratings: As of August 08, 2017, more than 5,997 students enrolled and have over 915 ratings.
Course type Includes: Lifetime access to all videos, including all future updates.
There is no risk: 30-day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: You will receive a Course Completion Certification from Udemy platform.
Brief Course Curriculum and Learning Objectives
The online course “Taming Big Data with Spark Streaming and Scala – Hands On!” has been developed by Frank Kane is a Founder, Sundog Education – Training the World in Big Data and Machine Learning, former engineer and the senior manager from Amazon and IMDb, as well as a Data Miner and Software Engineer. Also, the creator of the Bestselling in MapReduce, Machine Learning courses on Udemy with over 70,000 students. After successfully completing this course, students will be able to:
You will be able to process massive streams of real-time data using Spark Streaming
You will be able to output transformed real-time data to Cassandra or file systems
You will be able to query streaming data across sliding windows of time
You will be able to integrate Spark Streaming with data sources, including Kafka, Flume, and Kinesis
You will be able to receive real-time streams of Twitter feeds
You will be able to create Spark applications using the Scala programming language
You will be able to integrate Spark Streaming with Spark SQL to query streaming data in real time
You will be able to maintain stateful data across a continuous stream of input data
You will be able to train machine learning models with streaming data and use those models for real-time predictions
You will be able to ingest Apache access log data and transform streams of it.
Conclusion and Recommendation
This course is a great way to process massive streams of data in real time on a cluster with Spark Streaming. If you are students with some prior programming, then this is the right course for you! Working for a company with “big data” that is being generated continuously, this course is absolutely awesome! Enrolling in Course Now!
Limited Time! Hurry before discount ends 😀
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