Data Engineering Foundation: Spark/Hadoop/Kafka/MongoDB
Data Engineering, Hadoop, Apache Spark, Apache Kafka, MapReduce, ETL, Machine Learning, Data Analysts
4.39 (40 reviews)
1,144
students
1.5 hours
content
Sep 2024
last update
FREE
regular price
What you will learn
Understand the fundamental concepts of Big Data and its significance in modern data analytics.
Learn about the core components of Big Data architecture, including Hadoop, Spark, and data storage systems.
Gain insights into the differences between batch processing and real-time processing in Big Data.
Explore key Big Data tools and technologies such as Hive, Pig, Apache Kafka, and Apache Flink.
Understand how machine learning integrates with Big Data for predictive analytics and decision-making.
Analyze Big Data use cases and applications in industries like IoT, predictive maintenance, and more.
Master best practices for Big Data project management, performance optimization, and cost management.
Learn Data Engineering technologies
Learn Kafka Fundamentals
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udemy ID
9/4/2024
course created date
10/8/2024
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