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Big Data Fundamentals

01/04/2022

Big Data Fundamentals Book. I share a Jupyter Book that I have made with the notes prepared for the Big Data Fundamentals course. Within the syllabus there is an introduction to Big Data and data analysis, market and trends, its history, examples of use cases, best practices, and Big Data processes among other things.
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Big Data Fundamentals, Part II

08/12/2020

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.
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