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Getting Started: FinOps for Your Modern Data Stack

Increase data pipeline reliability and efficiency to achieve business impact Data is a key enabler of digital transformation, yet organizations struggle to manage cloud data costs. FinOps is a cultural shift that integrates financial accountability into cloud operations. Join FinOps Foundation Director of Cost Optimization Lindbergh Matillano and Unravel Data Director of Product Marketing Clinton Ford to improve the cost efficiency of your modern data stack using FinOps best practices.

Putting Data FinOps into practice

A new approach to taming cloud data costs Data management services are the fastest-growing category of cloud service spending, representing approximately 40% of the total cloud bill. 80% of data management professionals report difficulty accurately forecasting data-related cloud costs. In this session, you will learn how FinOps enabled a consistent view between executives, finance, business, and engineering teams, a comparison of FinOps for DevOps and for DataOps teams, and how AI is enabling new levels of efficiency for modern data stacks with DataFinOps.

Enable self service and simplify management of your modern data stack using Unravel

Enable self service and simplify management of your modern data stack using Unravel Data-forward organizations struggle to hire and retain top talent to architect, build, and operate data applications and pipelines required for rapid growth. See how data observability tools enable data teams to more efficiently achieve data performance, cost, and quality SLAs. Learn how innovative companies such as Maersk, HSBC, and FirstRand Bank use Unravel to simplify and accelerate data observability at scale.

What is Augmented DataFinOps?

Collaborate across your data team to optimize performance, control costs, and improve quality Join SanjMo Advisory Services Founder Sanjeev Mohan and Unravel Data VP of Solutions Engineering Chris Santiago to learn how organizations are applying FinOps best practices to improve efficiency for the modern data stack. Data management services are the fastest-growing category of cloud service spending, representing approximately 40% of the total cloud bill. 80% of data management professionals report difficulty accurately forecasting data-related cloud costs.

What is DataOps Observability?

Data teams like yours face new challenges as they manage an increasing variety of data formats, expanding use cases, and as data volumes double every three years. Organizations increasingly depend on new data products to meet their financial objectives. Join SanjMo Advisory Services Co-Founder Sanjeev Mohan and Unravel Data Vice President of Solutions Engineering Chris Santiago to learn.

What's Ahead in Data Management in 2023?

Data management is fundamental to every application. Managing this precious asset is an essential competency in modern businesses of every sort. Innovations in data platforms are being adopted, and data management approaches are evolving rapidly to keep pace. Increasingly, enterprises are converging their data warehouse, data lake, and other data management platforms onto distributed cloud-native infrastructures. As more types of data are consolidated into their platforms, enterprises implement more scalable DataOps pipelines and more comprehensive governance practices to manage it all.