Presented by Snowflake
Across utilities and industries, software teams build their applications in the cloud. What are the benefits? How does it deliver value to end customers? Listen to these VB Live events for important information and more from executives from leading software companies.
Admission on request here free of charge.
According to McKinsey, 75% of the cloud’s predicted value comes from increasing innovation — and is estimated to generate $ 770 billion in innovation-driven growth. Its transformative power drives disruption in all industries, with so much of the value from the way it enables secure, data-driven business agility, product development, data strategies, intelligent solutions and breakthroughs in software engineering and platforms.
The latest VB Live event, “Innovation on Data Cloud”, explored how the cloud is changing the game for companies of all sizes, with a panel of product and engineering executives driving innovation in their roles. Together, they talked about how the cloud helps them support customers, build a seamless, data-driven platform, machine learning and AI and more. (See all speakers below.)
Supports customer experience with the cloud
When CloudZero, a cloud cost intelligence company, first started building in the cloud, they took a completely serverless approach. This means that they maximized performance and cost-effectiveness by developing, building and delivering only functionality consumed by customers. To scale the platform, they needed a data warehouse that would support the same architecture so that they could serve their customers’ needs as needed with a highly efficient user experience.
“Whether you’re a super large customer with us managing millions of dollars a month or a smaller customer managing a smaller cloud build, you have an equally high response from our platform,” said Erik Peterson, founder & CTO / CISO, CloudZero.
“Snowflake drives it by having multiple warehouses that we can use to power different parts or functions of our system. That ability was critical to us in terms of how we built and scaled our platform. ”
Securonix, a security operations and analytics platform, had a data storage silo for security data, but it was not well integrated into their overall data platform, data strategy, and data architecture. Instead of trying a DIY approach to breaking down barriers and adding security data to the rest of their data, they went with a turnkey secure analytics solution and a business data cloud that they could use in the same way they use any other type of store data needs they have – which made it possible to ingest all data and use them in analyzes.
“The idea was to leverage Snowflake in a way that organizations could use what they already had in place for their other big data needs,” said Augusto Barros, VP Cyber Security Evangelist at Securonix. “It was not about Securonix replacing its backend with Snowflake, but we come to our customers and say that if you want a non-siled approach, we have a partnership with Snowflake. We call it a bring-your-own-Snowflake solution. ”
Agility and scalability
“Internally, Snowflake’s versatility and scalability have done so much good for us when we achieve the agile design, even when working with very large customer signal datasets,” Walker said.
For Simon Data, a customer data platform with an integrated marketing cloud, it offers flexibility in the workload, from very large, high-throughput queries, all the way down to small, low-latency utility cases. They use Snowflake as an ELT and an aggregation tool on the large customer datasets that help them scale. They have also found that Snowflake can be efficient enough to run latency-sensitive applications, such as real-time messaging campaigns. It allowed them to build an event jack specific to Snowflake, which runs what they call database triggers. It lets them reject behaviorally targeted messages in an existing real-time campaign platform from the results of the Snowflake query.
There is also flexibility in the time to appreciate, said Matt Walker, Simon Data’s founder and CTO / CISO. Snowflake’s scalable performance meant they did not have to build complex stored caching on top of their our unified contact view, which is a standard diagnostic product at the core of any CDP.
Instead, they grouped events by contact identifier, allowing them to use only one micropartition per Contact request. It got them the required response time through user-turned queries, even when scanning up to three years of data for a single contact. This meant that they quickly got the product on the market and were able to move their valuable product development resources elsewhere.
Peterson said they could have the same platform that runs the back-end machine learning pipeline, processing data intake and all the reporting and daily processing they do against billions of billing events and cost activities, system activities that they correlate within the system mean avoiding complexity and still get the highly efficient user experience.
Looking for cloud providers like Snowflake or AWS to manage the infrastructure is the key to both scaling the existing team, or how quickly they can get new functionality to market and scale in terms of how great an experience they can deliver to their customers . They achieve both of these things by having a data platform that allows them to handle heavy lifting, where new data is constantly ingested and pulled into the platform, but at the same time, customers provide almost real-time notifications when the user gets out of control.
“Snowflakes give us tremendous scalability and long-lasting retention,” Barros said.
Many organizations crop the security data they want to consume, as well as the retention period, so they can avoid capacity issues and expenses. Snowflakes are cost effective enough to enable organizations to capture the data they need for threat detection and to retain that data for longer, which is a huge benefit in cybersecurity. It can be months, sometimes even years, between the first interaction with a threat, and when a company actually detects it, and not having a data history, then becomes a big responsibility.
For more on database design, the wide variety of cloud computing applications in the cloud, how Snowflake enables seamless data sharing, integration and more, this VB Live event catches up as needed.
Access on request here.
You will learn best practices for:
- Delivers differentiated applications by building on a modern data platform
- Accelerate the development period significantly
- Create rapid growth by delivering value to your end customers
- Matt Walker, Founder & CTO / CISO, Simon Data
- Augusto Barros, VP Cyber Security Evangelist, Securonix
- Erik Peterson, Founder & CTO / CISO, CloudZero
- Natalie Mead, Sr. Director Field CTO Office, Snowflake (moderator)