A tool for sharing data allows companies to share secure, live data with their network. This enables teams to solve many critical business cases, including eliminating silos, speeding up project completion, encouraging collaboration with transparency of data, and uncovering new insights.
Enterprise IT applications are expanding, and robust solutions for real-time data exchange are essential to meet business objectives. The amount of data generated by IoT devices as well as office equipment and website visitors is increasing exponentially.
Many of these integrations are motivated by the desire to improve analytics performance, efficiencies, or revenue streams. The most important issue is how to transfer these huge amounts of data, at scale, from source to destination without degrading its value. The conventional approaches that are used, like SFTP and pre-signed URLs of objects stored in the store and data movement via ETL processes, don’t scale to the volume of data required and are only applicable to a single vendor solution (e.g., Oracle, AWS Redshift, Snowflake).
To address the challenges of real-time sharing of data, there are a number of solutions emerging. A specific class of platforms, that are able to comprehend the data they contain and act as IDShield review trusted intermediaries between various applications, can help alleviate some of these issues. This shifts the responsibility for managing data flows to the platform provider. It can also accelerate and make data integration easier by removing the complicated retry-and-retransmission capabilities that are part of many traditional tools.
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