Convert CSV to Amazon DynamoDB

Comma-Separated Value (CSV)
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Load CSV Data to Amazon DynamoDB

Ah, the common CSV file. Not a rare form of data, yet still baffling to so many types of applications and databases. How does one form the connection between spreadsheet and database? FME, of course. Transform and translate CSV data for use in DynamoDB all without having to write a single line of code.

Transform CSV Files For DynamoDB

In its natural habitat, the CSV file appears simple. But, with FME, the CSV goes through an amazing transformation, metamorphizing into new, astonishing forms. Select any of the hundreds of FME transformers like the AttributeValidator or DuplicateFilter to create workflows that bring your CSVs into their final form in AWS DynamoDB.


FME Server 2019

Automate CSV to DynamoDB Workflows

CSV data is not solitary and often travels together in bulk. Thus, it is often preferred to migrate these common data files in a synchronous manner. FME Server makes this possible with scheduling and event-based triggers. Together, your CSV data can flock to its new home in Amazon DynamoDB.

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Common Conversions

FME lets you integrate many applications and file formats. Here are some of the ways our users convert Comma-Separated Value (CSV) and Amazon DynamoDB.

Comma-Separated Value (CSV)

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Shapefile (SHP)

Shapefile (SHP)

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Comma-Separated Value (CSV)

Microsoft Excel

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Comma-Separated Value (CSV)

Database File (DBF)

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Comma-Separated Value (CSV)

About

Comma-Separated Value (CSV)

Comma-separated values (CSV) files store tabular data - numbers and text - in plain-text form. It's used as an exchange format as it is widely supported by a variety of proprietary applications.

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Amazon DynamoDB

Amazon DynamoDB is a fully-managed NoSQL database service that offers speedy performance, and scalability so users can store and retrieve any amount of data.

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FME

FME is the data integration platform with the best support for spatial data. Save time by using its drag-and-drop interface to connect data from hundreds of formats and applications, transform data in limitless ways, and automate virtually any data workflow.

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