Data Flow

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Data Engine: Select Widget to add Metrics & Dimension in Source

Sprinklr's Data Engine merges data from multiple sources into a pipeline that transforms the combined data into a single report. This allows organizations to capture all the data that streams into their businesses more efficiently than ever before. In this article, we’ll explore a new feature in Dat

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Data Flow

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Ability to Set Execution time for Pipelines

The Execution Pipelines feature enables the generation of snapshot values for metrics at specific execution intervals. This functionality allows you to track the evolution of metrics over time, providing valuable insights into historical trends. By capturing these snapshots, users can make more info

Knowledge Base Article

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Data Flow

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About the Data Engine

Sprinklr's Data Engine merges data from multiple sources into a pipeline that transforms the combined data into a single report. This allows organizations to capture all the data that streams into their businesses more efficiently than ever before. How to access Data PipelinesWithin the Sprinkl

Knowledge Base Article

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Data Flow

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Data Sources in the Data Engine

Ensuring compatibility between different data sources in a data pipeline is an important aspect of building a robust and reliable data pipeline. Sprinklr provides users to collaborate across various sources of data: Sources within Sprinklr, External sources and Uploads via Files.Types of Data Source

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Data Flow

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Create & Remove Columns in a Pipeline

Sprinklr's Data Engine merges data from multiple sources into a Pipeline that transforms the combined data into a single report. Sometimes you'll want to create a column in order to manipulate data into custom metrics for a desired report that was previously not able to be done due to unde

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Data Flow

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Group By in the Pipeline

When joining two data sources, you may need to group the data in some way to ensure that the join produces the desired result. You can group the data by a particular column and then aggregate the values in the other columnsHow to group by in Data PipelinesAfter you've added at least one data so

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Data Flow

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Joins in a Pipeline

Joining two different datasets involves combining the data from both sets based on a common field or set of fields. It's important to note that when joining two different data sets, we ensure that the common field has the same data type and format in both sets, and that the field is unique and doesn

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Data Flow

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