A data sharing tool enables businesses to share live and secure data with their business. This enables teams to solve a wide range of critical business challenges, such as breaking down silos, accelerating the completion of projects, enabling collaboration through data transparency and uncovering new insights.
As the number of enterprise IT applications grows and expand, the need for scalable solutions to real-time data sharing is a necessity in realizing business apkdownload-free.com/avg-antivirus-pro-apk-unique-features-and-average-performance goals. From the behaviour of visitors to the signals coming from IoT devices in your office or power plant, the volume of data is growing exponentially and generating an equally large amount of data integrations.
Many of these integrations are driven by the desire to increase the efficiency of analytics, their performance, or revenue streams. The key challenge is how to transfer these huge amounts of data, at scale from source to destination without losing its value. The traditional methods like SFTP and pre-signed URLs for object stores, and data migration using ETL processes don’t scale up to the amount of data needed and can only apply to one vendor (e.g. Oracle, AWS Redshift or Snowflake).
To address the challenges of real-time data sharing, there are numerous solutions that are emerging. Particularly, a category of platforms that are aware of the data they manage and act as an intermediary between different applications can help to solve many of these problems. This shifts the responsibility of managing data flows to the platform’s provider and can speed up and simplify data integration by removing many of the complicated functions of retrying and re-transmission which are inherent to many traditional tools.