NoSQL and Hadoop

NoSQL and Hadoop

Graph Data Modeling for NoSQL and SQL, by Thomas Frisendal

coverlowres

Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key-value, and column), leveraging cognitive psychology to improve big data designs. Read more…

thomasfrisendal

Thomas Frisendal is an experienced database consultant with more than 30 years on the IT vendor side and as an independent consultant. His approach to information-driven analysis and design is “New Nordic” in the sense that it represents the traditional Nordic values such as superior quality, functionality, reliability and innovation by new ways of communicating the structure and meaning of the business context.

Integrating Hadoop, by William McKnight and Jake Dolezal

CoverLowRes

Integrating Hadoop leverages the discipline of data integration and applies it to the Hadoop open-source software framework for storing data on clusters of commodity hardware. It is packed with the need-to-know for managers, architects, designers, and developers responsible for populating Hadoop. Read more…

authors

William leads McKnight Consulting Group. William is an internationally recognized authority in information management. Jake has more than 18 years of experience in the Information Management field with expertise in business intelligence, analytics, data warehousing, statistics, data modeling and integration, data visualization, master data management, and data quality.

NoSQL and SQL Data Modeling, by Ted Hills

nosqldatamodeling

How do we design for data when traditional design techniques cannot extend to new database technologies? In this era of big data and the Internet of Things, it is essential that we have the tools we need to understand the data coming to us faster than ever before… Read more…

Ted Hills Headshot

Ted Hills has been active in the Information Technology industry since 1975. At LexisNexis, Ted co-leads the work of establishing enterprise data architecture standards and governance processes, working with data models and business and data definitions for both structured and unstructured data.

Data Modeling for MongoDB, by Steve Hoberman

Mongodb

  1. Understand how data modeling contributes to the process of learning about the data, and is, therefore, a required technique, even when the resulting database is not relational.
  2. Know how NoSQL databases differ from traditional relational databases, and where MongoDB fits. Read more…

SteveHoberman

Steve Hoberman taught his first data modeling class in 1992 and has trained more than 10,000 people since then. He is the founder of the Design Challenges group, Conference Chair of the Data Modeling Zone conference, recipient of the 2012 Data Administration Management Association (DAMA) International Professional Achievement Award, and highest rated presenter at Enterprise Data World 2014.