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Import/Export supports importing and exporting data into and out of Amazon S3 buckets. For significant data sets, AWS Import/Export is often faster than Internet transfer and more cost effective than upgrading your connectivity. | Oneprofile syncs customer profiles and events across all the tools a company uses. Instead of each system having its own version of a customer, Oneprofile keeps everything in sync automatically — CRMs, analytics, support, marketing. When customer data changes anywhere, it’s reflected everywhere, instantly. No manual pipelines, no broken integrations — just the right data in the right place. |
Data Migration – If you have data you need to upload into the AWS cloud for the first time, AWS Import/Export is often much faster than transferring that data via the Internet.;Content Distribution – Send data to your customers on portable storage devices.;Direct Data Interchange – If you regularly receive content on portable storage devices from your business associates, you can have them send it directly to AWS for import into Amazon S3 or Amazon EBS.;Offsite Backup – Send full or incremental backups to Amazon S3 and Amazon Glacier for reliable and redundant offsite storage.;Disaster Recovery – In the event you need to quickly retrieve a large backup stored in Amazon S3, use AWS Import/Export to transfer the data to a portable storage device and deliver it to your site. | etl, cdp, customer data |
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It is a leading integration platform as a service (iPaaS) built on a containerized runtime. Deploy and run Logic Apps anywhere to increase scale and portability while automating business-critical workflows anywhere.

Rapportive shows you everything about your contacts right inside your inbox.

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AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.

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