Elasticsearch 7 just came out, and we've already got an updated course ready for you! Go enroll now:

https://skl.sh/2WHMWBC

Elasticsearch isn't just a distributed search engine - it's become an essential tool in the world of big data. Its ability to aggregate structured, numerical data at massive scale allows it to return results in milliseconds that might take Apache Spark or Hadoop orders of magnitude more time. If you're in the field of big data, you really need to know about Elasticsearch.

This comprehensive course spans 98 lectures with over 8 hours of video content, and almost every topic is accompanied by hands-on activities. Together, we'll cover:

Elasticsearch architecture
Indexing and mapping data
Searching (many different ways!)
Importing data and integrating with MySQL, Kafka and Spark
Aggregating and analyzing numerical data and log data
Visualizing data with Kibana
Elasticsearch operations and administration
Querying your Elasticsearch index with SQL
Using cloud-based Elasticsearch clusters with AWS and the Elastic Cloud

Elasticsearch 7 involves some pervasive changes from version 6, so we've re-recorded this course from the ground up to keep it up to date and to cover new features for you.

Most of this course involves crafting REST queries over HTTP and using graphical tools. But there are a few lectures that involve Python coding, and some familiarity with Python will come in handy.

Go add Elasticsearch to your big data toolchest now.

-Frank

Frank Kane

Machine Learning & Big Data, ex-Amazon

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