A Fortune 500 medical device maker sought to scale while implementing an enterprise-level robust data platform with industry-leading architecture and engineering principles. To build a well-architected data platform quickly and efficiently, they needed to partner with a team with deep expertise in implementing and operationalizing data platforms.
Tram from phData’s automation solutions Toolkit was used to migrate the company’s complex data ecosystem built on Oracle Exadata and SAP HANA to the Snowflake Data Cloud, a much more cost-effective solution. phData’s Elastic Platform Operations & Elastic Platform Monitoring enabled the company to gain access to 24×7 monitoring and management of warehouse alerts; both machine-automated and human-managed.
As a result, the company was able to create and manage project resources within Snowflake, painlessly onboard and manage users, and save thousands of dollars in unnecessary credit consumption.
An innovative and groundbreaking medical device manufacturer was looking to continue leading the healthcare industry with its purpose-driven innovation.
It is this innovation-centric approach that led the company to explore advanced data ecosystem solutions. In the past, due to aggressive timelines, the company had often overlooked data management best practices. But over time they determined that their existing data platform was a bottleneck and holding them back from scaling their ability to innovate and create.
As a returning client, the company was well aware of the ingenuity and dedication phData pours into making its partners successful. It was phData’s in-depth knowledge of Snowflake, staff of passionate experts, and proven track record of navigating corporate IT standards, procedures, and processes that led the company to choose phData, yet again.
Expertise with other technologies in this customer’s modern data stack, including AWS, Dataiku, DevOps, and MLOps was an added plus and one that made phData the clear choice. phData provided technologies and services that helped the client effectively identify and mend the gaps in its existing data ecosystem.
For instance, the phData team’s basic understanding of different use cases being solved with Snowflake helped them ensure that business-critical warehouses didn’t suspend before the application teams had a chance to take a look at what was going on.
People-based monitoring of the alerts also caught a situation where one of the workspace admins bumped up a warehouse to a 4x-large with max_clusters = 8 for a burst of work but forgot to size it back down. With some investigation, phData’s team isolated the situation drivers and was able to make changes immediately, saving the company thousands of dollars in unnecessary credit consumption.
By the end of the engagement, the medical device manufacturer had effectively streamlined its data ecosystem, and with the help of phData’s industry-leading Toolkit, had added over 7000 users, 100+ workspaces, 300+ databases, almost 2,000 schemas, and nearly 10,000 roles to its data platform in a time and cost-effective manner.
The company was also able to save thousands of dollars due to the 24×7 credit monitoring provided by phData’s Elastic Platform Operations service.
phData was able to help the company achieve its goal of controlling and scaling its operations.
Learn how phData can help solve your most challenging data analytics and machine learning problems.
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