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Accelerate Your Cloud Data Warehouse Migration and Modernization

CLoud Data Warehouse Migration and Modernization

11:30 AM – 12:30 PM EDT

Learn Why it’s so Important to Make your Data Warehouse Real-Time

Cloud has drastically changed the data analytics space as new technology has decoupled storage from computing to power new analytics, ranging from traditional BI to machine learning. Cloud data warehouses like Snowflake, Databricks, Redshift, Synapse, and BigQuery are driving scalable, cost-effective analytics and reporting, and many organizations are looking to migrate away from legacy on-premises solutions (Teradata, Oracle, Cloudera, etc.) towards the cloud to take advantage of these new technologies.

Why Ness

Ness, a Premium Partner of Confluent, has been selected as the sole System Integrator in Confluent’s Data Warehouse Modernization program. Our data-first migration approach to a pipelined services model avoids a “Big Bang” by re-orchestrating clients’ existing business logic with streaming architectures.

Join this discussion to understand how Ness is helping organizations connect hybrid and multi-cloud data to their cloud data warehouse of choice to scale stream processing and power new, real-time analytics.

During this webinar we examined and demonstrated the benefits of modernization including:

  • How to lower TCO by decoupling storage from computing and leveraging consumption-based pricing.
  • How and why you will gain increased overall flexibility and business agility.
  • Why this will enable scalable analytics with advanced capabilities like machine learning and predictive analytics.
  • How to easily modernize your DW by powering streaming ETL pipelines