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Posted: Mon Dec 23, 2024 9:16 am
Even customer acquisition had been carried out secretly by sending emails. In this way, the first batch of seed users were gradually accumulated, and the product and market matching () was initially verified. At this time, k already had: ) Clear, clear, and unique positioning. Data warehouse () is not a new concept, but cloud data warehouse is. i I proposed the concept of data warehouse in 2005. Before k, data warehouses had gone through the development process from local proprietary hardware (representative products:), shared storage (representative products:) to big data. But K is the first data warehouse product that is completely based on cloud computing architecture.
) Product selling points that meet user pain points jamaica phone number User pain points: Traditional data warehouses are too complex, inflexible and expensive Product selling points: K's cloud service separates data storage from computing and can uniquely leverage the elasticity, scalability and flexibility of the cloud to provide the powerful functions of data warehouses, the flexibility of big data platforms, the elasticity of the cloud, and lower costs than local data warehouses. User pain points: Emerging big data platforms still need to rely on the expertise of professionals Product selling points: K is a native relational database that fully supports standards.
Any analyst can access data by themselves, allowing organizations to leverage their existing tools and skills. ) Unique product value (iv. Data warehouse as a service). k eliminates the headaches associated with managing and tuning databases. This enables self-service data access so that analysts can focus on extracting value from data rather than managing the underlying hardware and software. Multi-dimensional elasticity. Unlike existing products, k's elastic expansion technology can independently scale users, data, and workloads to provide optimal performance at any scale. Elastic expansion makes it possible to load and query data simultaneously because each user and workload can get the resources they need without resource contention.
) Product selling points that meet user pain points jamaica phone number User pain points: Traditional data warehouses are too complex, inflexible and expensive Product selling points: K's cloud service separates data storage from computing and can uniquely leverage the elasticity, scalability and flexibility of the cloud to provide the powerful functions of data warehouses, the flexibility of big data platforms, the elasticity of the cloud, and lower costs than local data warehouses. User pain points: Emerging big data platforms still need to rely on the expertise of professionals Product selling points: K is a native relational database that fully supports standards.
Any analyst can access data by themselves, allowing organizations to leverage their existing tools and skills. ) Unique product value (iv. Data warehouse as a service). k eliminates the headaches associated with managing and tuning databases. This enables self-service data access so that analysts can focus on extracting value from data rather than managing the underlying hardware and software. Multi-dimensional elasticity. Unlike existing products, k's elastic expansion technology can independently scale users, data, and workloads to provide optimal performance at any scale. Elastic expansion makes it possible to load and query data simultaneously because each user and workload can get the resources they need without resource contention.