Build an Effective Data Governance Framework

Your team is serious about ensuring database performance at scale. But legacy NoSQL technology could be eroding the impact of your achievements. Following best practices for efficient data modeling, query optimization and observability is fundamental. But their power can be limited – or enhanced – by specific database capabilities. Often-overlooked database innovations can serve as a force multiplier, paving a much smoother path to speed at scale (e.g., millions of read/write operations and millisecond P99 response).

Register for this on-demand webinar with the co-founder of Alation where we’ll deep dive into the Data Catalog. You’ll learn why a data catalog is essential for data-driven organizations, methods and tools to democratize your data, and how automation is crucial for consistent re-use of data.

We have reached the tipping point where all businesses recognize they cannot compete in a digital age using analog-era legacy data solutions and architectures. The winners in the next phase of business will be those enterprises that obtain a clear handle on the foundations of modern data management fabric. The modern big data fabric helps enterprise organizations accelerate insights by automating ingestion, curation, discovery, preparation, and integration from data silos. Watch guest speaker Noel Yuhanna from Forrester and Paxata’s Nenshad Bardoliwalla as they discuss: Latest trends, benefits, and use cases of big data fabric Challenges enterprise organizations must overcome. How to deliver faster time-to-value with an. enterprise-grade self-service data preparation solution.

To compete in today’s digital economy, enterprises require new ways to expand AI across their entire organization. Nearly all firms want to do more with data science, but they don’t know where to begin or how to properly empower citizen data scientists to avoid common AI gone wrong accidents. In this session, we will discuss how to approach your journey into citizen data science with existing analytics talent. Proven best practices and lessons learned from successful early adopters of augmented data science will be shared. We will walk through example initiative roadmaps, recommended staffing, upskilling, mentoring and ongoing governance.