Elasticsearch 7 and Elastic Stack you own this product

Frank Kane
  • Course duration: 8h 33m
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Elasticsearch 7 and Elastic Stack teaches you to search, analyze, and visualize big data on a cluster with Elasticsearch, Logstash, Beats, Kibana, and more. Fuzzy searches, partial matches, search-as-you-type, pagination, sorting—this course covers them all. You’ll even learn how to take Elasticsearch beyond web search, using Elasticsearch as an alternative to Hadoop and Spark to aggregate and graph Petabytes of data in a matter of milliseconds. Fully updated and upgraded to Elasticsearch 7, this essential liveCourse adds highly marketable skills to your toolbox!


Distributed by Manning Publications

This course was created independently by big data expert Frank Kane and is distributed by Manning through our exclusive liveVideo platform.

about the subject

Elasticsearch 7 is a powerful tool for powering search, capable of searching and indexing huge amounts of unstructured data—but there are more uses for Elasticsearch than websites. Increasingly, Elasticsearch is being used as a real-time alternative to Hadoop and Spark for analysing big data sets. Elasticsearch’s ability to aggregate and graph Petabytes of data in a matter of milliseconds has made it a valuable skill to have in today's job market.

about the video

Frank Kane brings his decade of experience at Amazon.com and IMBD.com to teach you Elasticsearch 7, from installation to operations. You’ll learn what's new in Elasticsearch 7, including tools for managing security with the Elastic stack, and cover the often-overlooked problem of importing data into an Elasticsearch index. You’ll discover that Elasticsearch isn't just for search anymore, learning to use its powerful aggregation capabilities for structured data, including bucketing and analyzing data, and visualizing it using the Kibana web UI. Fuzzy searches, partial matches, search-as-you-type, pagination, sorting—this course covers them all. And it's not just theory! Every lesson has hands-on examples where you'll practice each skill using a virtual machine running Elasticsearch on your own PC.

prerequisites

For tech-minded individuals familiar with web services and REST. Some exposure to Linux and JSON-formatted data would also be beneficial.

about the instructor

Frank Kane holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. He spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to millions of customers every day. Sundog Software, his own company specializing in virtual reality environment technology and teaching others about big data analysis, is his pride and joy.
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