Cloud-native architectures have become the new norm for enterprise deployments in almost every category. As the volume, variety, and velocity of data increase exponentially, the cloud offers a more efficient and cost-effective option for managing the unpredictable and bursty workloads associated with big data than traditional on-premises data centers.
This guide to cloud-native architecture will tell what you need to know about cloud-native data architecture and why we require it and why enterprises choose Qubole.
Let’s get straight into it.
The data is stored in a central repository that is capable of scaling cost-effectively without fixed capacity limits; is highly durable; is accessible in raw form and provides independence from fixed schema; and is transformed into open data formats such as ORC and Parquet that are reusable, provide high compression ratios and are optimized for data consumption.
3x faster time to value: Qubole delivers rapid innovation with self-service access to big data, enabling use cases that can be deployed in days — not weeks or months.
Single platform: Our platform offers a shared infrastructure for all users with the ability to leverage multiple best-of-breed engines. Qubole is massively scalable on any cloud, thereby preventing vendor lock-in.
10x more users and data per administrator: Qubole’s self-service platform enables administrators to input policy controls and controls user/group access privileges. The platform’s automation capabilities ensure that all users and workloads are provisioned.
50 percent lower TCO: Several cost optimization features allow users to leverage lower and cheaper compute.
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source.