"Building a successful multi-CDN solution that spans the globe and always enables the fastest connections requires the most powerful cloud architectures and tools. Google Cloud provides the unlimited autoscaling, security, and versatility we need to deliver on our commitments to digital enterprises."
“Building a data collection and analysis system like this, Google BigQuery was the natural choice for us. It handles large sets of data very quickly and it integrates with other products like Google Sheets. That makes it easy for us to help our customers resolve their problems.”
"We chose to migrate our environment to reduce costs and build a closer relationship with Google Cloud’s products team, whose guidance at deployment was significant. The data tools available to us were also a differential, which was certainly another major consideration."
"Google Cloud serves as the core infrastructure of the MARBLEX. Beyond simple linkage, we plan to implement application-level services such as wallets, order books, and NFTs on Google Cloud. Google Cloud has served as a strong partner for MARBLEX's basic strategy of 'publishing,' connecting blockchains quickly and safely, and connecting …
"The infrastructure composition of Google Cloud is simple and clear by default. The structures that were initially conceived in the design were made into infrastructure as they were, and the architecture was completed as easily imagined. The basic framework was established very quickly, and the system was advanced as the …
"Our clients already understand the benefits of moving to the cloud, so our role as a digital solutions provider is to map out their journey as quickly as possible. Using the tools offered by Google Cloud, we're able to answer both their operational and business needs."
"Thanks to the excellent way the migration to Gmail was handled, we knew we’d have the essential security we needed to unify platforms under a single provider. The project was completed in stages over six months, but the main systems were easily converted in two months."
“We hope to further improve internal data literacy. Using Looker with a better understanding of its features will allow examination of data from a deeper viewpoint.”
“By writing LookML with an understanding of database architecture, the true power of Looker is brought out.”
“The role of the data management team is to establish governance for both the upper process where data is generated from the customer-used app, as well as the lower process where this data is collected and analyzed for business use.”
"When we realized we had to expand, we decided to migrate to another cloud, also because we wanted to try out new technologies to improve performance, streamline data visibility, and provide a service that supported end customer demands."
“We saw an opportunity to bring a new technology with a new approach, and to become a company with a solution for consumers.”
“One of the first things we really liked about Google Cloud was documentation. When we started out, we realized it would be easy to understand best practices, since there are a lot of references available.”
“We used to believe our customers were analog rather than digital, in a segment where technology was not integrated into daily routine."
“We no longer need to worry about having space in the data center. We were able to align our entire security with our network and gained scalability. From then on, we began thinking about new solutions within the squads directly in Google Cloud.”
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