I’m sharing Big Data Fundamentals, Part I, with an introduction to Big Data covering: Big Data market and trends, definition and history, Big Data types (structured, unstructured, semi-structured), some use cases, best practices for Big Data analytics; and an overview of Apache Hadoop: HDFS, MapReduce, YARN.
Big Data hands on lab: Hadoop tutorial
Here you can find an Apache Hadoop tutorial as well if you want to have a practical glimpse of Big Data.
The images used in the covers, unless otherwise indicated, are free and/or royalty-free. They belong to various authors and were downloaded from Unsplash, Pixabay, and/or Pexels.
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[…] sharing Big Data Fundamentals, Part II, (Part I is here) with an introduction to Big Data covering: Big Data processes: ingest, store, process/query, […]