Project Management, IT Training, Agile Coaching
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.
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.
In this tutorial we’ll install the Big Data framework Apache Hadoop on a previously installed CentOS 8 virtual machine. We’ll use Docker containers for the cluster creation.
This is for testing purposes and not for production. Be careful and don’t expose it to Internet since I’m not setting up any security measure for it.
En este artículo se presenta un resumen de qué es y cómo se implementa en un proyecto el framework ágil Scrum siguiendo la Guía de Scrum™ de los creadores de este marco de trabajo.
Si eres un/a profesional independiente o trabajas en una pequeña empresa, estas herramientas te ayudarán a ahorrar tiempo (haciendo más fácil tu trabajo); y dinero, dado que la mayoría son open source, free software o tienen versiones limitadas gratuitas.