Getting started with Analytics
How does Lyve Cloud Analytics work?
The Lyve Cloud Analytics platform allows you to analyze and process massive amounts of data on the Lyve Cloud using big data frameworks such as Apache Spark, Trino, and ML. You can process data for analytics and business intelligence workloads by using these frameworks and related open-source projects.
The Lyve Cloud Analytics platform also allows you to transform and move large amounts of data between data stores and databases on Lyve Cloud. Data is collected and stored from databases, IoT devices, sensors, media sources, files and logs. Platform capabilities include using higher-level languages to create processing workloads to schedule and monitor and leverage machine learning algorithms, build stream processing applications, and build data warehouses. The ML library enables the quick creation of predictive models, ad-hoc query analysis and reports with dashboards for end users (consumers).

Onboarding Analytics
You can sign up for Lyve Cloud Analytics (powered by Iguazio) products from the Lyve Cloud console.
Note
You must have a zCompute account before you sign up for Analytics. To sign up for zCompute, see Onboarding Lyve Cloud Compute by Zadara.
On the left-hand menu, select Analytics.
On the Analytics page, select Sign Up.
In the Analytics Onboarding Form, fill all the required details.
After all the details are filled in, and the form is submitted successfully:
You will receive an email confirming the submission of the form.
The Lyve Cloud team will set up the analytics platform for the account.
Note that initially, a trial account is set up to use the analytics platform, which later can be converted to a paying account. You can choose to close the analytics platform after the trial period.
Analytics capabilities are available to Lyve Cloud users after enabling Analytics. It enables users to manage resources between different projects on a single platform.
After connecting to Lyve Cloud Analytics, you must create the required service. For more information, see Using Analytics services.