[MapR Talk] Hadoop vs the Data Warehouse: Which Will Win?

Document created by aalvarez Employee on Nov 30, 2015Last modified by aalvarez Employee on Dec 7, 2015
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Overview

In an effort to help grow organic communities interested in new technologies, MapR speakers around the world provide technical talks on numerous topics. Please browse our MapR Talks Directory  to learn how to search and request a talk in seconds.

 

Abstract

Hadoop has changed the economics of data and forced CIO's to rethink their data architecture. What does this mean for the relation DBMS-based data warehouse? Can Hadoop really replace finely-tuned database queries for 1000's of users in organizations? Well, that depends. As Apache Hadoop and relational database technology evolve, enterprises are taking a hybrid approach that brings together the best of both worlds into one. This session will look across multiple design patterns for Hadoop and data warehousing including the traditional, logical, and operational data warehouses. We will also cover the SQL-on-Hadoop landscape and how that enables these different design patters to optimize the data warehouse and overall enterprise data architecture.

 

KEYWORDS: System Architecture, Use Cases, Data Warehouse, SQL, Hadoop

 

Location Availability & Request Link

North America. Please refer to theMapR Talks Directory  for specific countries.

You can request this talk here: Speaker Request

 

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