Apache Spark for Java Developers
Get processing Big Data using RDDs, DataFrames, SparkSQL and Machine Learning - and real time streaming with Kafka!
4.52 (3482 reviews)
22 607
students
21.5 hours
content
Feb 2021
last update
$79.99
regular price
What you will learn
Use functional style Java to define complex data processing jobs
Learn the differences between the RDD and DataFrame APIs
Use an SQL style syntax to produce reports against Big Data sets
Use Machine Learning Algorithms with Big Data and SparkML
Connect Spark to Apache Kafka to process Streams of Big Data
See how Structured Streaming can be used to build pipelines with Kafka
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Our Verdict
Apache Spark for Java Developers course surpasses expectations with its thorough content, well-organized presentations, and practical exercises. Although it may lack in updating frequency and be challenged by some language barriers, this course is a standout option for those aiming to learn Spark processing techniques and big data strategies.
What We Liked
- Covers a wide range of topics, from RDDs to Machine Learning and Kafka, providing a comprehensive understanding of Apache Spark for Java developers
- Excellent course organization with clear explanations that make complex concepts accessible
- Hands-on exercises and real-world examples enhance learning and practical applicability
- Knowledgeable instructors who maintain student engagement with well-timed humor and insightful tips
Potential Drawbacks
- Accents in the course may present a difficulty for non-native English speakers, making it harder to follow along
- Course could benefit from regular updates to reflect changes in Spark versions and industry best practices
- A few sections might be too verbose or focus on setup tasks rather than hands-on programming skills
- Limited scope regarding production settings and massive big data use cases
Related Topics
1984720
udemy ID
23/10/2018
course created date
19/09/2019
course indexed date
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