By decentralizing data operations with the help of data mesh, challenges faced by the IT departments are minimized and business domains can independently produce and curate the data.
With domain-ownership, data control can go into the hands of true-stewards. This helps in the process of data cleansing and making it trustworthy and always accessible.
Data consumers can focus on having quick access to the appropriate data when they need it by avoiding complications thanks to an architecture that places high importance on self-service.
The digital ecosystem will grow exponentially across myriad data sources, file types, and storage locations. Data Mesh will simplify matching data, safeguarding access to private information, and observing compliance regulations by relying on a centralized set of data governance, security, and compliance policies.
Provision for data stewards to look for data products across all relevant business domains.
Important terms can be tagged with any data object to generate a consensus in understanding data and its usability
ChainSys automations can be easily customized and set up to enable automated alerts, metadata suggestions and more. This will not only make tasks easier to complete but also save time so that the same resources can be applied elsewhere.
With AI/ML capabilities powering our products, detecting bad data, cleansing and maintaining high quality data with no redundancies and duplication is one of our many strongholds. Automated processes make streamlining data and analytics extremely simple.
Governance and Data Management of entire organizational data can become a highly strenuous task. With ChainSys’ Data Catalog bots that labor is minimized as they scrutinize and parse through SQL Query history to fully automate Data Lineage Construction and PII Detection ultimately translating to cost-effective and time-saving methods for dynamic policy creation and top-notch governance.
Our visual Query-Builder enables even non-technical users to directly query across across data lakes and warehouses to ensure high accessibility for data exploration.