website_old/website/partials/_index-description.ejs

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                    <h2>01.</h2>
                    <h4>Connect</h4>
                    <p>Integrate data sets and data streams using the built-in StreamPipes Connect library with support for generic protocols such as HTTP, Kafka, MQTT, OPC-UA, Files or specific adapters for open data sources.</p>
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                    <p><b>Some included adapters and integrations:</b></p>
                    <p>
                        <a href="https://kafka.apache.org">Apache Kafka</a>,
                        <a href="https://pulsar.apache.org">Apache Pulsar</a>,
                        <a href="https://plc4x.apache.org">Apache PLC4X</a>,
                        <a href="https://www.ros.org">Robot Operating System (ROS)</a>,
                        Mysql, OPC-UA, MQTT and more.
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                    <p>Adapters can be easily configured right from the user interface - with an intuitive configuration menu.</p>
                    <p>Pre-processing rules can be added to harmonize data before ingestion, e.g., transformation of measurement units.</p>
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                <img class="d-block w-100" src="/img/screenshots/sp-connect.png" alt="StreamPipes Connect">
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                    <h2>02.</h2>
                    <h4>Analyze</h4>
                    <p>Harmonize and analyze data by using the real-time algorithm toolbox ranging from simple filters up to pre-trained neural networks - or build your own algorithm with the provided SDK.</p>
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                    <p><b>Some included data processors:</b></p>
                    <p>
                        Trend Detection, Peak Detection, Numerical Filter, Sequence, Boilerplate Removal, Event Rate, Field Converter, Frequency Calculation,
                        Generic image Classification, Measurement Unit Converter, Projection, Timestamp Enricher, Trigonometry Functions and many more.
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                    <p>Our pipeline elements focus on analyzing industrial IoT data - for instance, we provide many operators to transform process data from PLC systems.</p>
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                <img class="d-block w-100" src="/img/screenshots/sp-editor-pipeline.png" alt="Pipeline Editor">
                <img class="d-block w-100 mt-10" src="/img/screenshots/sp-editor-config-trend.png" alt="Pipeline Editor Configuration">
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                    <h2>03.</h2>
                    <h4>Exploit</h4>
                    <p>Trigger notifications, configure your real-time dashboard or send data to third-party systems such as databases (e.g., Kafka or Elasticsearch), external services (e.g., Slack) or IoT actuators.</p>
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                    <p><b>Some included data sinks:</b></p>
                    <p>
                        <a href="https://kafka.apache.org">Apache Kafka</a>,
                        <a href="https://pulsar.apache.org">Apache Pulsar</a>,
                        <a href="https://couchdb.apache.org">Apache CouchDB</a>,
                        <a href="https://iotdb.apache.org">Apache IoTDB</a>,
                        OPC-UA, RabbitMQ, Email, Slack, Internal Notification, PostgreSQL and more.
                    </p>
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                    <p>The brand-new data explorer gives you an intuitive and feature-rich component to visually analyze persisted time-series data and comes with ready-to-use visualizations such as heatmaps, value distribution charts or time-series charts.</p>
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                    <p>Use the live dashboard to visualize data in real-time, e.g., show critical values directly on the shopfloor.</p>
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                <img class="d-block w-100" src="/img/screenshots/sp-explorer-ts.png" alt="Data Explorer Time Series Chart">
                 <img class="d-block w-100 mt-10" src="/img/screenshots/sp-data-explorer-config.png" alt="Data Explorer Widgets">
                <img class="d-block w-100 mt-10" src="/img/screenshots/sp-dashboard.png" alt="Live Dashboard">
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            <a href="/feature-overview.html" class="btn sp-button sp-button-blue">Explore the features</a>
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