The topmost challenges that data warehouses have faced over the years are coping with storage requirements for ever-growing data and increased demand for compute to process this data. Google Cloud Platform (GCP) has enabled the creation of a completely serverless, scalable, flexible, and resilient data warehouse at Vuclip. See how various GCP products are selected for various use cases with Koushik Kulkarni—from managing tables to managing real-time data ingestion and from creating data marts to enterprise data warehouse. Understand how to put governance and security around your data and manage access for various consumer teams. Optimize your costs by maintaining life cycles of different environments. Technologies used include dataflow, Pub/Sub, BigQuery, cloud storage, datastore, cloud functions, compute engine, and ML engine.
Koushik Kulkarni has more than 15 years of experience in building and managing data and information systems. He’s worked on large-scale data warehouses and data marts that use on-premises technologies such as Teradata and Informatica as well as cloud platforms such as Google Cloud Platform. He has also created large-scale real-time event processing systems with on-premises as well as cloud technologies to create and optimize business value. He can be found on LinkedIn.
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