What you would learn in Oracle Database and ELK Stack – Data Visualization course?
To make the most of Elasticsearch's powerful capabilities in the search provided by Elasticsearch, Many companies will be deploying Elasticsearch along with their existing relational databases. It's likely to keep Elasticsearch updated with the data in the related relational database in this situation. (Source: Official Elastic Documentation)
This course will show how to visualize RDBMS data using the elk stack. We will use Kibana to design stunning charts and visualizations, and we'll build everything by hand from the beginning.
After you've completed the course, you'll be able to understand how ELK isn't just used for logging data, however; it can also be used to display RDBMS data. In addition, I will be using AWS RDS, GCP Compute Engine, AWS S3 in the course. I'm sure that you'll enjoy taking these courses.
"ELK" is the acronym for three open-source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is an analytics and search engine. Logstash is an on-server data processing pipeline that gathers data from various sources at once, transforms it, and then transfers it to a "stash" like Elasticsearch. Kibana lets users visualize graphs and charts within Elasticsearch.
The Elastic Stack is the next stage in the ELK Stack. Oracle database products provide customers with the most efficient and cost-effective versions of Oracle Database, which is the leading multi-model, converged, multi-model managing database system in addition to memory-based, NoSQL, and MySQL databases.
Who is this course intended for:
Configuring ELK Stack from the beginning
AWS RDS for Oracle
GCP Compute Engine Service
Logstash Configuration File
Oracle DB connectivity using Logstash
Data Visualization using Kibana
Oracle HR schema data Visualization
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