Summary
- Introduces a decentralized data intelligence platform.
- Enables direct collaboration between data producers and consumers.
- Uses data contracts to align usage, privacy, and governance.
- Optimizes enterprise data for AI and future-ready applications.
Chapters
Acem is enabling one of the best ideas in the data community. The idea of data products shared via data contracts. It allows you to shift left with data, which is a strategic advantage, and I will show you how the action data intelligence platform.
For decades, companies had large solutions like data warehouses, data lakes, and data lake houses intended for enterprise wide use with data producers and data consumers all working through one storage solution.
As the usage of data scaled, centralized solutions couldn't keep up with demand and data teams began losing momentum and then the movement to decentralize analytical data merged known as data mesh or scalable data management. To decentralize you need an alternative to big centralized solutions, and that is the data product with a brilliant yet simple set of principles, data producers to solve a centralized solution by creating consumer blend piece of data that are small, speedy and manyfold data products, link producers and consumers together directly without a big solution, slowing everything down so you can push the enterprise forward fast, allowing you to perform analytics, create data apps, AI assistance, AI and ML use cases, and simply share data. And that's exactly how we are building the action data intelligence platform for you to set you up for future proof.
Easy and effective use of data. Data products are great opportunity and they need data contracts to work in the most beneficial way. A data producer transport data with an input port that can, this can be in query a call or simply export import of data from the source into a data product where data is stored and shared with consumers via an output port.
And that output port is the data contract. The data contract will save your enterprise. Substantial times as stakeholders can align up front in the contract on cybersecurity data privacy, how data can be used, how to use it, the technical details of how it will be delivered.
Everything really is defined in the contract. This is called split left and in action we enable you to shift left so data is made ready once at source left and not downstream, right? In the many analytical applications where data is used, which currently forces you to perform same data management tasks again and again, this is a waste of your time, but data contracts also enable you to shift, right?
Because so much energy and times liberated from practical data engineering, ensuring brittle pipelines, maintaining quality and compliance upstream. Instead with data products of data contracts, you will finally be able to accelerate the use cases that will propel your enterprise forum.
With the M data intelligence platform, we enable data products shared via data contracts. We want you to succeed with data for AI and beyond because we know that your data is your future.