Data warehouses have been staples of enterprise analytics and reporting for decades. But they weren’t designed to handle today’s explosive data growth or keep pace with end users’ ever-changing needs. With cloud data warehousing, you’re no longer constrained by physical data centers, and you can now dynamically grow or shrink your data warehouses to rapidly meet changing business budgets and requirements.
Reports state that the global Cloud Data Warehouse Market size is expected to grow at a Compound Annual Growth Rate (CAGR) of 22.3% during the forecast period, to reach USD 12.9 billion by 2026 from USD 4.7 billion in 2021.
More organizations are moving to cloud data warehouses and cloud data lakes to take advantage of the flexibility and scalability the cloud provides. Snowflake cloud-native platform is one such ecosystem designed with a patented new architecture to handle all aspects of data and analytics. It combines high performance, high concurrency, simplicity, and affordability at levels not possible with other traditional data warehouses.
Watch this webinar to discover what makes the Snowflake Data Cloud Warehouse unique and how it unites and breaks down data silos to solve your biggest business challenges.
The session focuses on providing an introduction to basic to advanced concepts in the Snowflake ecosystem – capabilities that can help in setting up a modern data pipeline and a scalable & elastic analytics architecture.
Dinesh has extensive experience in the field of enterprise analytics, distributed ledger technology, and designing solutions for legacy modernization, digital transformation and process automation needs of the business. An alumnus of the Indian School of Business, he has completed his Electronics and Telecommunication Engineering from a reputed engineering college.Know More
Naresh Keerthi is an associate manager at Innominds and brings 10+ years of overall industry experience with a deep understanding of AI, ML, and Data & Analytics Engineering.Know More