Learn how DataOS helped Modern Data’s customer reduce time in collecting and understanding data from multiple and varied sources, speeding up data analyses. Business teams are now able to focus more on data insights and also syndicate data-to-data destinations without worrying about data security.Download
The Modern Data Company is radically simplifying data architecture with its paradigm-shifting data operating system, DataOS. We're replacing overwhelm with composability , reinventing governance, and connecting legacy systems to your newest tools. Find out how DataOS can put you on the fastest path from data to decisions.Download
The modern data landscape continues to increase in volume and variety at an alarming rate. The rise of AI and IOT, unstructured data volume, and increasing external data sources has long shown signs of outgrowing traditional data management systems. The end result is enterprises still stuck in a reactive data strategy.Download
Data is only valuable when it can be contextualized and made available to users and applications within an organization. The right data fabric and implementation can ensure self-service across an organization, automate fundamentals like governance and security, and automate repetitive data engineering tasks.
By weaving together data from multiple siloed sources and enabling the analysis of the enormous amount of data that can come from a large enterprise, data fabrics can enable organizations to access better insights and respond in real time to dynamic business needs. A data fabric ensures that data ends up in the hands of those who need it. With self-service capabilities, business teams can find the appropriate data just as quickly as core tech teams, which means they can spend more time finding actionable insights.
Because data fabrics can surface and connect data sources regardless of location, size, and format, it can reduce compliance and regulatory risk through transparency. DataOS for example enables automatic access enforcement down to the user, providing a high level of data protection and compliance. This ensure organizations can apply governance rules that are specific to their industry within minutes.
The intelligence and automation components of a data fabric mean many repetitive tasks that belong to data engineering will no longer require tedious and error prone coding processes from a team that's likely already spread thing.
Check out our business resources and see how a data fabric can help enterprises achieve these business benefits and more.