![]() We chose Snowflake and in 2017 became an early adopter of the cloud-native data platform. We needed a data cloud platform that could support our long-term storage and computing resourcing needs while providing reliable performance. Our move to the public cloud required us to transform our data infrastructure and migrate our entire data workload of 500 terabytes and 6,000 analysts. In 2016, we made the decision to go all-in on the cloud, migrating our entire data ecosystem and transforming our data infrastructure in the process. Let’s take a look at how we came to build these tools. We wanted to empower our lines of business to take advantage of the speed and scalability gained in the cloud while also providing the governance and oversight needed to operate responsibly and cost effectively. So we set out to create our own tools for data management in the cloud. We also found a lack of existing solutions for the challenges we faced. ![]() While there are many benefits of moving to the cloud-like instantly scalable computing resources and near-unlimited storage-many organizations find that costs can escalate quickly and well-managed governance becomes challenging.Ĭapital One faced many of these same obstacles managing our data, infrastructure and costs in our years-long data journey to operate in the cloud at scale. More than 70% of companies migrated some part of their workloads to the cloud as of 2021 and there are no signs the trend will slow down. ![]()
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