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Add notice for streaming examples. (#1316)
* Add notice. * Update pages and imports.
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pages/data-streams/graph-stream-processing-with-kafka.md renamed to pages/data-streams/graph-stream-processing-with-kafka.mdx

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description: Leverage Kafka for efficient graph stream processing in Memgraph's graph computing solution. Learn how to integrate Kafka to process real-time graph data effectively.
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---
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import { Callout } from 'nextra/components'
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# Graph stream processing with Kafka and Memgraph
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<Callout type="info">
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This page is currently being refactored as part of the [Awesome Data streams deprecation and streaming examples migration](https://github.com/memgraph/documentation/issues/1315).
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The content here may be outdated or under active revision. Please check back soon or follow the GitHub issue for updates.
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</Callout>
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In this tutorial, you will learn how to connect Memgraph to an existing Kafka
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stream using Memgraph Lab, and transform data into graph database objects to
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analyze it in real-time.

pages/memgraph-lab/features/streams.mdx

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description: Learn how to connect to Kafka, Redpanda or Pulsar data stream from Memgraph Lab.
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---
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import {CommunityLinks} from '/components/social-card/CommunityLinks'
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import { Callout } from 'nextra/components'
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# Streams
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<Callout type="info">
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This page is currently being refactored as part of the [Awesome Data streams deprecation and streaming examples migration](https://github.com/memgraph/documentation/issues/1315).
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The content here may be outdated or under active revision. Please check back soon or follow the GitHub issue for updates.
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</Callout>
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Memgraph can connect to existing Kafka, Redpanda, and Pulsar data streams,
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enabling you to ingest data directly. Memgraph Lab offers an intuitive interface
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for managing streams under the **Streams** section. You can also manage streams

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