- Feature Store as a Foundation for Machine Learning - Feb 19, 2021.
With so many organizations now taking the leap into building production-level machine learning models, many lessons learned are coming to light about the supporting infrastructure. For a variety of important types of use cases, maintaining a centralized feature store is essential for higher ROI and faster delivery to market. In this review, the current feature store landscape is described, and you can learn how to architect one into your MLOps pipeline.
Data Engineering, Data Infrastructure, Data Lake, Feature Engineering, Feature Store, Machine Learning, Metadata, MLOps, Pipeline
- What is Data Catalog and Why You Should Care? - Dec 23, 2019.
Learn why data catalogs could be just the thing you need to meet the challenges of data and metadata management and collaboration.
Compliance, Consistency, Data Catalog, Data Governance, Datasets, Metadata, Reddit
- Interview: Sastry Malladi, StubHub on Designing Big Data Architecture for the Unknown Future - Jul 28, 2014.
We discuss the Big Data architecture at StubHub, important factors in architecture design, hybrid approach of using Big Data along with traditional data warehouses, challenges, importance of meta-data and more.
Architecture, Challenges, Design, Hadoop, Interview, Metadata, Personalization, Recommendation, Sastry Malladi, StubHub
