Hadoop, NoSQL, Big Data, the introduction continues on a deeper technical level this time. I expose some of the issues, and discuss some of the benefits of applying your data warehouse TO a Hadoop platform. Would love to hear from you, please comment at the end of the entry.
An introductory discussion on Data Warehousing, Hadoop, and Big Data. How it works, the differences between it and a relational system, and what some of the benefits/drawbacks are to plugging a Hadoop system IN to your architecture.
A short introduction to Data Vault 2.0, and a discussion of the old standards of Data Vault 1.0 – along with some information about where DV2.0 is going, and the future of Data Vault
I’ve begun researching Data Vault models on Hadoop solutions, including HadoopDB and Hive. Recently I came across a number of articles which describe the solutions of Hive and HadoopDB in detail on top of Hadoop solutions. I had to take a minute to write this article, to explain my view points of using the Data Vault model on a Hadoop Solution. I also explain where the Data Vault Model fits in the NoSQL or Non Relational world, and why it’s still relevant. Furthermore, I touch on the changing nature of certification – why it’s not so relevant any more.
A few days ago I received some questions about Data Vault models, normalization, 6th normal form and so on. In this post I will share with you the questions I received, as well as the answers I think apply to these questions. If you have additional answers, please feel free to add a comment at the bottom of the post.
Second look at technology stacks in the Hadoop, MapReduce arena, and beginning to consider the technology to implement for Data Vault model testing.