How Hadoop can reduce storage and processing costs of data warehouses
As data warehouses grow and grow, performance and accuracy issues tend to arise, costs go up, and organizations are forced to optimize their data warehouses.
Luckily, many new data storage technologies that are capable of storing and managing massive amounts of data at relatively low costs have been introduced over the last few years – Hadoop being undoubtedly the most popular.
This white paper describes how Hadoop can be used in data warehouse environments to reduce storage and processing costs and to improve the performance of reporting and analysis. Inside, find four approaches for using Hadoop to optimize a data warehouse environment, as well as a section on how Talend’s ETL solution supports Hadoop with their unified integration platform.