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.
With DBaaS, businesses can manage their databases without handling the underlying infrastructure. It offers scalability, reliability, and user-friendly interfaces, making it efficient for IT teams. DBaaS solutions streamline database management by minimizing administrative tasks. They empower organizations to swiftly scale operations and enhance their performance. Automation features reduce the need for manual intervention while ensuring high availability and seamless integration...
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.