I’m sharing Big Data Fundamentals, Part II, (Part I is here) with an introduction to Big Data covering: Big Data processes: ingest, store, process/query, visualize; tools and technologies: Hadoop, Sqoop, Kafka, Mesos, Redis, CouchDB; Document stores: MongoDB; Column stores: HBase + Cassandra; Big Data analytics: Spark, Storm; and Elastic Stack: Logstash, ElasticSearch and Kibana.
We’ll see also Machine learning techniques with Spark (MLlib, Streaming) and TensorFlow.
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.
Las imágenes utilizadas en las portadas, salvo indicación al contrario, son gratuitas y/o libres de regalías. Pertenecen a varios autores y fueron descargadas de Unsplash, Pixabay, y/o Pexels.