The Building Blocks…
Big data has challenged our notion of conventional data management and data warehousing practices. In this session, we will discuss why some of the key data management and data governance disciplines such as Data Architecture, Data Quality and Meta Data Management are still relevant. We argue that they are even more critical than ever before for the integration of big data into the larger analytics ecosystem.

Making It Real!
Furthermore, we will compare and contrast best practices in conventional data management and how they can be adapted to the big data world. Specifically, we will explore:

• Data Architecture: Some of the best practices around standardization and modeling for building RDBMS ‘schema-on-write’ are still relevant for NoSQL and ‘schema-on-read’
• Meta Data Management: This is a critical component for discovery, cataloging, consistency of use, context and meaning of big data
• Data Quality Management: As big data matures, the ‘veracity’ dimension of big data is becoming more critical. Although, there may be slightly different interpretations of exactly what ‘veracity’ of big data means, for the purposes of this discussion, we will discuss it in the context of quality and relevance of the underlying data impacting analytics results.

View the presentation, Big Data Management: A Modern Take on Key Data Management Best Practices