My main use case for Imply Enterprise is based on monitoring performance metrics, tracking, and support. I use it for creating, deploying, managing our infrastructure and monitoring it. A specific example of how I use Imply Enterprise for monitoring or managing my infrastructure is for our cluster operations including creating, deploying, monitoring, scaling, cloning, and terminating instances using zero downtime.
My main use case for Imply Enterprise involves customers wanting to analyze their clickstream or their advertisement platform, as they need to analyze their advertisement click rates and many teams are using Imply Enterprise for clickstream analysis.A specific example of how my team has used Imply Enterprise for clickstream analysis involves the Druid architecture, which has a front-end server called Pivot, a BI solution native to the Druid platform, delivered through Imply Enterprise to provide BI dashboards and reports. While my main use case for Imply Enterprise may not be common in Korea, I am aware of many external cases where Druid is used with Kafka, making it a powerful platform for real-time analytics, as evidenced by its use in companies such as Netflix and Pinterest.
We are serving the Ads business for one of the biggest startups in India. Our use case involves capturing events or impressions generated on our app and performing aggregations of the users. If some enrichment is required, we take care of the enrichment. We use this data for dashboarding purposes. The same dataset is also used for advanced analytics by our data science team. We also use this data for data heuristic algorithms based on business rules. Decisions are made like which banner to serve to a customer based on user relevance and monetization.
Database as a Service (DBaaS) offers users a cloud-based solution for managing, hosting, and scaling their databases with ease. It eliminates the need for complex hardware setup, making it a smart choice for modern applications requiring flexibility and efficient resource management. Due to its cloud-native nature, DBaaS provides seamless integration with existing cloud infrastructures. Organizations appreciate the automated backups, easy scaling options, and support for various database...
My main use case for Imply Enterprise is based on monitoring performance metrics, tracking, and support. I use it for creating, deploying, managing our infrastructure and monitoring it. A specific example of how I use Imply Enterprise for monitoring or managing my infrastructure is for our cluster operations including creating, deploying, monitoring, scaling, cloning, and terminating instances using zero downtime.
My main use case for Imply Enterprise involves customers wanting to analyze their clickstream or their advertisement platform, as they need to analyze their advertisement click rates and many teams are using Imply Enterprise for clickstream analysis.A specific example of how my team has used Imply Enterprise for clickstream analysis involves the Druid architecture, which has a front-end server called Pivot, a BI solution native to the Druid platform, delivered through Imply Enterprise to provide BI dashboards and reports. While my main use case for Imply Enterprise may not be common in Korea, I am aware of many external cases where Druid is used with Kafka, making it a powerful platform for real-time analytics, as evidenced by its use in companies such as Netflix and Pinterest.
We are serving the Ads business for one of the biggest startups in India. Our use case involves capturing events or impressions generated on our app and performing aggregations of the users. If some enrichment is required, we take care of the enrichment. We use this data for dashboarding purposes. The same dataset is also used for advanced analytics by our data science team. We also use this data for data heuristic algorithms based on business rules. Decisions are made like which banner to serve to a customer based on user relevance and monetization.