Salim Syed, VP at Capital One, discusses optimizing cloud data warehouses. Topics include managing data in the cloud, the importance of providing business context for data usage, and the evolving landscape of data management and cost optimization.
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Quick takeaways
Capital One Slingshot helps optimize cloud data by providing solutions for cost optimization, data governance, and waste reduction.
A balance between centralized tooling for data governance and federated ownership allows efficient data sharing and prevention of data silos.
Deep dives
Effective data management is essential for organizations
Effective data management is crucial for organizations looking to succeed with data. Storing data in the cloud is a common approach, but it can lead to challenges such as ballooning costs and data governance complexities.
Navigating the cloud journey with Capital One Slingshot
Capital One Slingshot, a tool developed by Capital One, aims to help organizations optimize their data in the cloud. It provides solutions for cost optimization, data governance, and waste reduction. The tool offers visibility into cost drivers, real-time alerts, and recommendations for query and data set optimization.
The importance of centralized tooling and federated mindset
To effectively manage data in the cloud, organizations need to strike a balance between centralized tooling and a federated mindset. Centralized policies and tooling ensure data governance, while federated ownership allows business teams to have control over their data. This approach helps prevent silos and enables efficient data sharing.
The role of metadata and data catalog
Metadata and data catalogs play a crucial role in data management. They provide context, business information, and technical details about data sets. Effective data catalogs make it easier to find, access, and trust data, while also aiding in compliance and regulatory requirements.
Effective data management has become a cornerstone of success in our digital era. It involves not just collecting and storing information but also organizing, securing, and leveraging data to drive progress and innovation. Many organizations turn to tools like Snowflake for advanced data warehousing capabilities. However, while Snowflake enhances data storage and access, it's not a complete solution for all data management challenges. To address this, tools like Capital One’s Slingshot can be used alongside Snowflake, helping to optimize costs and refine data management strategies.
Salim Syed is a VP, Head of engineering for Capital One Slingshot product. He led Capital One’s data warehouse migration to AWS and is a specialist in deploying Snowflake to a large enterprise. Salim’s expertise lies in developing Big Data (Lake) and Data Warehouse strategy on the public cloud. He leads an organization of more than 100 data engineers, support engineers, DBAs and full stack developers in driving enterprise data lake, data warehouse, data management and visualization platform services.
Salim has more than 25 years of experience in the data ecosystem. His career started in data engineering where he built data pipelines and then moved into maintenance and administration of large database servers using multi-tier replication architecture in various remote locations. He then worked at CodeRye as a database architect and at 3M Health Information Systems as an enterprise data architect. Salim has been at Capital One for the past six years.
In this episode, Adel and Salim explore cloud data management and the evolution of Slingshot into a major multi-tenant SaaS platform, the shift from on-premise to cloud-based data governance, the role of centralized tooling, strategies for effective cloud data management, including data governance, cost optimization, and waste reduction as well as insights into navigating the complexities of data infrastructure, security, and scalability in the modern digital era.