• Big data tools: Hadoop, Spark, H2O

    After completing the topic learners will be able to recommend industry-grade big data tools.

    Overview of this topic:

    • Tools for manipulating large datasets and performing analytics efficiently
    • Utilization of distributed systems like Hadoop for fault tolerance and parallel computing
    • Implementation of MapReduce for splitting, applying, and combining data operations
    • Integration of streaming data solutions like Apache Kafka Streams and Apache Flink for real-time analytics
    • Leveraging machine learning platforms such as H2O and Apache Spark MLlib for scalable algorithms

    Instructions for learning activities:
    1. See lesson's video;
    2. Learn from slides & notes;
    3. Take a quiz: Big Data TEST A;
    4. For support use chatbot bellow or chat with the notes.