ETL Offload: The First Step in Implementing the Data Warehouse of the Future

INFORMATIONWEEK [InformationWeek] [ETL Offload: The First Step in Implementing the Data Warehouse of the Future]( For organizations that are beginning to deploy Hadoop, offloading extract, transform and load (ETL) processes is an ideal first use case. Handling ETL with a legacy data warehouse can drive up costs while slowing analytics, but moving those workloads to a Hadoop cluster can save hundreds of dollars while dramatically speeding up performance.This whitepaper details the benefits and challenges of using Hadoop for ETL offload as a first step toward implementing the data warehouse of the future. It draws on Dell EMC's extensive internal use of Hadoop, and it offers tips for making an ETL offload project successful. [Get the Whitepaper Now]( [ETL Offload: The First Step in Implementing the Data Warehouse of the Future]( [ETL Offload: The First Step in Implementing the Data Warehouse of the Future | View Now]( INFORMATIONWEEK InformationWeek c/o UBM 303 Second St., Suite 900 South Tower, San Francisco, CA 94107 This email was sent to {EMAIL}. Please do not reply to this message as responses are not monitored. To opt-out of any future white paper promotions from InformationWeek, please [respond here](. © UBM 2018. All Rights Reserved. [Privacy Policy]( [UBM Tech]