Enabling Scalable OLAP Directly on a Data Lakehouse Architecture
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Tuesday, September 19, 2023
Time: 9:00 a.m. PT / 12:00 p.m. ET
Online analytical processing (OLAP) has long played a critical role in enabling decision-makers to understand data relationships and gain valuable dimensional data insights using drill-down, roll-up, and slice-and-dice operations. OLAP takes self-service users beyond reports and dashboards to a deeper level of analysis. Yet traditional OLAP is often constrained by the limits of what the data warehouse makes available. Modern OLAP tools plus the advent of the data lakehouse change all that.
A data lakehouse unifies the best capabilities of the data warehouse and data lake to support a range of workloads stretching from business intelligence (BI) reporting and dashboards to OLAP to AI/ML. Modern OLAP tools enable you to work directly on top of the data lakehouse rather than wait out long data preparation cycles that add latency. With AI-driven aggregation, you can move faster to develop cubes to maximize the value of the contents of your data lakehouse. Organizations can accelerate critical OLAP processes and gain insights at the speed of business.
Join this TDWI webinar to learn how the latest tools, data platforms, and practices enable you to unleash OLAP and get beyond legacy constraints. Speakers will discuss how to integrate OLAP and the data lakehouse to revolutionize data analysis and interaction.
Topics this webinar will cover include:
- Strategies for providing users with easier data access, querying, and visualization
- How to create seamless integration between OLAP and the data lakehouse
- Using AI-driven data aggregation for OLAP operations
- How you can optimize dimensional analysis and increase performance for drill-down, roll-up, and slice-and-dice data interaction
- TDWI perspectives on trends driving modern OLAP and the data lakehouse
Pavithra Rao is a delivery solutions architect at Databricks working with fintech organizations. Pavithra has 7 years of experience working with start-ups to Fortune 100 organizations, helping them architect robust data and AI platforms and use cases.
Senior Solutions Architect
Leo Duncan is a Senior Solutions Architect at Kyvos Insights. With over 18 years of analytics experience, he has designed and developed game-changing BI solutions for some of the world's most recognized brands. Leo's innovative approach and strategic vision have earned him a reputation as an analytics genius, empowering organizations to make informed, data-driven decisions.