“Hadoop and Data Warehouse (DWH) – Friends, Enemies or Profiteers? What about Real Time?” – Slides (including TIBCO Examples) from JAX 2014 Online

Posted in Analytics, Big Data, Business Intelligence, Cloud, ESB, Hadoop on May 13th, 2014 by Kai Wähner

Slides from my talk “Hadoop and Data Warehouse (DWH) – Friends, Enemies or Profiteers? What about Real Time?” at JAX 2014 (Twitter #jaxcon) in Mainz are online. JAX is a great conference with interesting topics and many good speakers!

Content (Data Warehouse, Business Intelligence, Hadoop, Stream Processing)

Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data. New business models based on predictive analytics, such as recommendation systems or fraud detection, are relevant more than ever before. Apache Hadoop seems to become the de facto standard for implementing big data solutions. For that reason, solutions from many different vendors emerged on top of Hadoop.

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Book Review: “Getting Started with NoSQL” by Gaurav Vaish (Packt Publishing)

Posted in Persistence on April 24th, 2013 by Kai Wähner

Getting Started with NoSQL” is a new book by PACKT PUBLISHING. It gives an introduction to different NoSQL concepts and products. Besides, it explains the differences to SQL databases and when to use which one.

First, the book defines NoSQL and explains what it is and what it is not. Especially, the characteristics and differences compared to SQL are described. The next chapter explains most important NoSQL storage types: Column-oriented databases, document stores, key-value stores, and graph databases. Advantages and disadvantages of these concepts are explained in detail, before comparing most important NoSQL products such as Cassandra, Neo4j, MongoDB or Redis. A case study (which uses MongoDB) concludes the book to show how an implementation with a NoSQL database is different from using a relational database.

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