With Datapie, anyone can be a Data Scientist
Seattle, WA (PRWEB) May 01, 2017
"The Rightscale 2017 State of the Cloud * report indicates that cloud users run applications in 4 clouds and are experimenting with 4 more. Some 85 percent of enterprises employ a multi-cloud strategy, up from 82 percent in 2016."
Datapie simplifies big data pipelines by providing pre-canned workflows that move data within and across public clouds in a fully managed fashion and zero maintenance overhead. Create a big data pipeline in three simple steps and start analyzing processed data in a matter of minutes.
“With Datapie, anyone can be a Data Scientist.”
In limited preview, Datapie supports Amazon Kinesis Streams as a source. Use Datapie workflows to send real time data from Amazon Kinesis to any of the following services: Google BigQuery, Google Cloud Storage and Amazon S3. Most importantly, companies do not have to write a single line of consumer code for processing Amazon Kinesis Streams or worry about scaling infrastructure to process your incoming data. The Datapie platform handles all the underlying complexity of processing real time data from Amazon Kinesis and lets companies focus on business.
The Datapie service provides big data processing integration in a coding-free environment, ensuring that businesses can quickly and easily benefit from the opportunities offered by big data without having to invest in development, software or related personnel. It also drastically lowers the technical requirements for administrators operating Datapie and is extremely easy to configure and monitor with an intuitive user interface.
Democratise data today, and enable the use of the right cloud service for big data needs using Datapie. Companies can sign up today for Datapie limited preview by filling out the limited preview sign up form.
For more information about Datapie, please visit: http://www.datapie.co.
Deepa K K
Contact Us: https://datapie.co/contactus/
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