Cloud giant elephant-Hadoop as a service

Cloud giant elephant-Hadoop as a service

Ashish Thusoo, CEO and co-founder of Qubole, recently talked about the "cloud giant image" Hadoop as a service product at Enterprise Data World Conference (EDW. As a service rather than a product, big data will become a trend. Hadoop, as a service, aims to help organizations deal with the challenges and costs of large-scale Hadoop services. These cloud service-based solutions can also benefit from other cloud service features, such as dynamic configuration, computing and storage flexibility, and availability in multiple regions.

At the beginning, Ashish said that the nature of data, including the interaction data in the ocean, is unstructured. Instead of simply processing structured data in traditional applications for a long time.

The nature of the analysis has also changed. Ashish talked about the development of analysis value from descriptive to normative analysis.

• Descriptive analysis (what happened ?)
• Diagnostic Analysis (Why ?)
• Predictive Analysis (what will happen ?)
• Normative analysis (how can we make it happen ?)

Cloud provides many benefits, such as on-demand and elastic scaling architecture, highly scalable object storage and processing, and adaptive infrastructure. Use the Cloud Big data platform to provide faster production time, agility and infrastructure flexibility, and significantly reduce costs.

Virtual Private Cloud (VPC) provides isolated access to computing and storage, as well as security practices. VPC security includes data in cloud storage and network data, as well as role encryption options based on access computing and storage.

The modern data processing platform includes multiple Processing engines that can handle various cases, as listed below:

• Complex batch processing SQL, Hive
• Data Science, Spark
• Simple interactive SQL query, Presto
• Batch Data cleansing (ETL) and Map Reduce

Ashish also talked about the big data reference architecture based on the cloud platform, including multi-tenant data access, unified engines, cloud computing services, and portability services. He concluded that Hadoop, as a service, is an eye-catching choice when making big data architecture decisions.

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