Snowflake’s Openflow tackles AI’s toughest engineering challenge: Data ingestion at scale

For everyone in AI, it is not a great news of “the real reward of the data.” If you have strong data funds, your models and the applications they work will be in charge.

But this is where it is polluted. When the foundation of the foundation is a source of information with them, especially if it is a source of information with dozens of information. You need to build and protect integrated pipelines for each source – centralize the need for a mass engineering load and power AI workload for data groups. In the scale, these pipelines become a tough swelling – it is difficult to adapt, extend or expand.

Avalanche thinks that there is an answer.

Today, the company announced the general availability of full-managed information that regulates the general existence of Openflow, the company’s general availability of Openflow – any source from any source, and the process of removing data from any source.

How does it work?

Equipped by Apache Nifi, Openflow uses connectors – pre-established or special – with the management and security installed in the snow. Whether there are multimodal content from the box or incident flows in real time, the opening plugs, combine and develop all types of data that are easily available in Snowflake’s AI data cloud.

“If the information engineers often encountered a critical trade, they encountered a complex solution, if they want high-managing pipelines. Venturebeat.

Although Snowflake offers admission options like snowfall or personal connectors, Openflow offers a comprehensive, effortless solution to accept almost all enterprise information.

“Snowflake’s snowfall and snowflakes are implementing data withdrawal and download processes on the other.

This opens new use, including the full form of enterprise information, including enterprise information, including documents, images and real-time events within the AI. After the concepts are removed, they can return to the source system using the connector.

There are more than 200 connectors

Openflow supports 200+ ready-made connectors and processors currently covering services such as 200+ ready-made connectors and processors, Google ads, Microsoft SharePoint, Oracle, Salesforce information Blow, Work and Zendesk.

“Integration from the box with Snowflake Openflow … Earnings using Box AI, evaluate the original permissions for secure access, and the rich understanding or metadata can be recorded in the box of the rich understanding.

The creation of new connectors takes a few minutes, the time is accelerated for the cost. Users also get security features such as secrets to end role-based authorization, transit encryption and ending data protected.

“Organizations that require real-time information integration, information that does not rely on various sources of information or not relying on unstructured data, the value of the value will benefit from Exceplow,” the child was added. For example, a retail company can combine data deleted from sales, e-commerce, CRM and social media to conduct individual practices and optimized transactions.

Snowflake customers are among the sets to use OpenFlow to transfer and scalp the global data, securonix and work wave, and the company has not disclosed the exact adoption numbers.

What’s next?

As the next step, in real time in the snowplay, broadcasting systems, aims to strengthen the wise information movement background and AI agents.

“We are a corporate agent of cinemas, agent-agenti-directional communications, such concepts and actions, a cortex agent from other enterprises from other enterprises from other enterprises such as services.

The schedule for these updates is not clear so far.