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56 lines
3.5 KiB
Markdown
56 lines
3.5 KiB
Markdown
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---
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title: Getting Started
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slug: /getting-started
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collate: true
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---
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# Getting Started
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Welcome to Collate's unified platform for data discovery, observability, and governance! Our platform centralizes all
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the context around your data to help you build high-quality and AI assets. This guide gives you all the information you
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need to set up your Collate environment in 30 minutes.
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## How Does Collate Work?
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Collate is designed for both technical and non-technical data practitioners to work together across a broad set of use cases,
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including data discovery, lineage, observability, quality, collaboration, governance, and insights.
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A library of 80+ turnkey connectors is available to easily ingest metadata into Collate, such as data warehouses, data lakes,
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streaming, dashboards, ML models, and more. APIs are also available to easily ingest metadata from custom data sources.
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Metadata from these different sources is organized into a Unified Metadata Graph, which provides a single, comprehensive
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source of truth across your entire data estate.
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This centralized information is surfaced through a unified user interface for all your use cases so that different data
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practitioners no longer need to switch between different data catalogs, quality, or governance tools. Additionally,
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Collate can be extended through the application ecosystem, such as with AI productivity applications like MetaPilot,
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or with customer-built workflows to integrate Collate with your existing systems. These capabilities are built around
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native collaboration capabilities for shared workflows across different teams so that every data practitioner can work
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together: data platform, data governance, data scientist/analyst, and business user.
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## What are some key Collate features?
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Before we get started, here’s a quick summary of some of Collate’s main features:
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- **Discovery**: integrated catalog, quality, and glossary; natural language search, filtering, and faceting, 80+ turnkey data connectors, and MetaPilot AI Chatbot.
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- **Lineage**: table and column-level lineage, automated data estate mapping and APIs, lineage layers and search, governance and PII automation and manual customization.
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- **Observability**: alerting and notifications, incident management, third-party notifications, pipeline monitoring, root cause analysis, anomaly detection, data profiler.
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- **Quality**: table and column test cases, no-code and SQL data quality tests, test suites, test case reporting, quality dashboards, widgets and data quality lineage maps.
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- **Collaboration**: Knowledge center, announcements and tasks, Slack/Teams integration, team conversations, activity feed and team dashboards.
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- **Governance**: Business glossary, classification tags, automated PII classification and description generation, data stewardship dashboards and metadata automations.
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- **Insights**: Data assets, app analytics, coverage KPIs, ownership dashboards, data health reports, governance reports, cost optimizer, custom dashboards and widgets.
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## Onboarding Journey
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In this section, you will find a series of guides to help you get started with Collate. These guides will help you understand
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the basic to the most advanced features of the platform, organized in a step-by-step manner and divided by milestones
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that can be accomplished in different days during your onboarding process.
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{% tilesContainer %}
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{% tile
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title="Day 1: Connect your Data Sources and invite users"
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description="Discover the right data assets to make timely business decisions."
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link="/getting-started/day-1"
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icon="discovery"
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/%}
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{% /tilesContainer %}
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