• Developer guide
  • API reference

›Getting started

Getting started

  • Introduction to Imply Polaris
  • Quickstart
  • Execute a POC
  • Create a dashboard
  • Navigate the console
  • Key concepts

Tables and data

  • Overview
  • Introduction to tables
  • Table schema
  • Create an ingestion job
  • Timestamp expressions
  • Data partitioning
  • Introduction to rollup
  • Approximation algorithms
  • Replace data

Ingestion sources

  • Ingestion sources overview
  • Supported data formats
  • Create a connection
  • Ingest from files
  • Ingest data from a table
  • Ingest from S3
  • Ingest from Kafka and MSK
  • Ingest from Kinesis
  • Ingest from Confluent Cloud
  • Kafka Connector for Imply Polaris
  • Push event data
  • Connect to Confluent Schema Registry

Analytics

  • Overview
  • Manage data cubes
  • Visualize data
  • Data cube dimensions
  • Data cube measures
  • Dashboards
  • Visualizations reference
  • Set up alerts
  • Set up reports
  • Embed visualizations
  • Query data

Monitoring

  • Overview

Management

  • Overview
  • Pause and resume a project

Billing

  • Overview
  • Polaris plans
  • Estimate project costs

Usage

  • Overview

Security

    Polaris access

    • Overview
    • Invite users to your organization
    • Manage users
    • Permissions reference
    • Manage user groups
    • Enable SSO
    • SSO settings reference
    • Map IdP groups

    Secure networking

    • Connect to AWS
    • Create AWS PrivateLink connection

Developer guide

  • Overview
  • Authentication

    • Overview
    • Authenticate with API keys
    • Authenticate with OAuth
  • Manage users and groups
  • Migrate deprecated resources
  • Create a table
  • Define a schema
  • Upload files
  • Create an ingestion job
  • Ingestion sources

    • Ingest from files
    • Ingest from a table
    • Get ARN for AWS access
    • Ingest from Amazon S3
    • Ingest from Kafka and MSK
    • Ingest from Amazon Kinesis
    • Ingest from Confluent Cloud
    • Push event data
    • Kafka Connector for Imply Polaris
    • Kafka Connector reference
  • Filter data to ingest
  • Ingest nested data
  • Ingest and query sketches
  • Specify data schema
  • Query data
  • Update a project
  • Link to BI tools
  • Connect over JDBC
  • Query parameters reference
  • API documentation

    • OpenAPI reference
    • Query API

Product info

  • Release notes
  • Known limitations
  • Druid extensions

Navigate the console

The Polaris console, often referred to as the Polaris user interface (UI), consists of three main sections:

  • On the left is the navigation menu. It directs you to areas in the interface to analyze and view data, create and manage tables, and view storage information for your project.
  • To the right is the main working area of the interface, where you can view and create data cubes, run queries, and build visuals.
  • The user menu, located in the top-right corner, contains your account information and operational resources.

Polaris user management

Access to certain features is limited to users with specific permissions. If you are not able to view a certain tab, you may not have the necessary permissions to access that functionality. See Permissions reference for more information.

Navigation menu

Depending on your account permissions, the navigation menu can display analytics, data ingestion, monitoring, and management resources.

Continue reading for information about each resource.

Region selector

Organizations that have projects in multiple regions can see the region selector at the top of the navigation menu. The region selector allows multi-region organizations to switch between us-east-1 US East (N. Virginia) and eu-central-1 Europe (Frankfurt) regions.

Polaris region selector

Data

The Data section displays options for ingesting and organizing your data:

  • Tables: Create, modify, and delete tables.
  • Sources: Upload and delete files for batch ingestion. Manage ingestion sources.
  • Jobs: Monitor jobs including batch and streaming ingestion, data deletion, and table deletion.
  • SQL: Run SQL queries and examine query results.

Analytics

The Analytics section consists of the following visualization and analytics resources:

  • Data cubes: Create and manage data cubes.
  • Dashboards: Create and manage dashboards.
  • Alerts: Set up alerts to monitor events in your data.
  • Reports: Schedule reports that deliver select data to specified recipients.
  • Embedding: Create embedding links to read-only visualizations.

Monitoring

The Monitoring section displays options for monitoring how your project is performing:

  • User queries: View dashboards that report the health and performance of your queries.
  • Streaming: View dashboards that report health and performance of event stream ingestion.
  • Detailed metrics: A data cube interface where you can explore your Polaris metric data using a data cube interface.

Management

The Management section contains the Project size option for managing the size of your project. You can monitor your project's data storage capacity and scale up or down as needed.

User menu

Click the user profile icon to access the user menu. Depending on your account permissions, the user menu can include the following options:

  • Your profile: View your account information and user groups.
  • Administration:
    • Users: Manage users.
    • User groups: Manage user groups.
    • Identity providers: Configure single sign-on using identity provider settings.
    • API keys: Manage API keys.
    • OAuth clients: Add and manage OAuth clients.
    • Usage and Billing: View information about your payment plan and account usage.
  • Region: Manage regions.
  • Documentation: View technical documentation for Polaris.
  • Support: View community discussion topics and submit feature requests.
  • Sign out: Sign out of your account.
← Create a dashboardKey concepts →
  • Navigation menu
    • Region selector
    • Data
    • Analytics
    • Monitoring
    • Management
  • User menu
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