Elasticsearch notes

Elasticsearch vs RDBMS concepts: You can (roughly) think of an Elastic index like a RDBMS database.   MySQL => Databases => Tables => Rows=>Columns Elasticsearch => Indices(database) => Types(tables) => Documents(rows) with Properties(columns) An Elasticsearch cluster can contain multiple Indices (databases), which in turn contain multiple Types(tables). These types hold multiple Documents (rows), and each document has Properties(columns). A ES mapping … Continue reading Elasticsearch notes

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Some helpful links

Cloudera/Hadoop: tiny.cloudera.com/hw-reqs tiny.cloudera.com/aws-ra http://docs.aws.amazon.com/quickstart/latest/cloudera/welcome.html http://docplayer.net/25124019-Hadoop-security-authors-ben-spivey-and-joey-echeverria-provide-in-depth-information-about-the-security-features-available-in-hadoop-and-organize-them.html http://blog.cloudera.com/blog/2015/03/how-to-quickly-configure-kerberos-for-your-apache-hadoop-cluster/ http://wpcertification.blogspot.com/ https://henning.kropponline.de/   Jupyter: https://blog.insightdatascience.com/using-jupyter-on-apache-spark-step-by-step-with-a-terabyte-of-reddit-data-ef4d6c13959a Docker: https://www.dataquest.io/blog/docker-data-science/ Miscellaneous: https://blog.daftcode.pl/hype-driven-development-3469fc2e9b22 https://github.com/parth8891/NYC_Taxi_Data_Analysis https://keshif.me/demo/VisTools http://blog.thedigitalgroup.com/dattatrayap/high-speed-ingestion-into-solr-with-custom-talend-component-developed-by-tdg/ http://www.bigendiandata.com/