Optimizing Enterprise Data Warehouse using Apache Hadoop

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Rapid data growth from a wide range of new data sources is significantly outpacing organizations’ abilities to manage data with existing systems. Organizations now look to capture all data, keep it longer, and prepare to use the data in new ways as business conditions evolve. As a result, legacy data architectures and IT budgets are straining under the pressure. Community-driven open source technologies with Apache Hadoop at its center offers a viable approach to making data architectures capable of realizing new and improved business outcomes while driving significant cost out of the IT budget. Hear Syed Mahmood, Director of Product Marketing, and Dwight Evers, Solution Engineer at Hortonworks, discuss how the IT landscape is changing and offer insights into how data-driven organizations are successfully navigating this shift to higher revenues and lower IT expenditure.

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Founded in 2011 by 24 engineers from the original Yahoo! Hadoop team, Hortonworks has amassed more Hadoop experience under one roof than any other organization in the world. Our team works every day to enhance the Hadoop core, creating new code to improve the open product we have stewarded since its inception. Simply put, we are your best choice to support you in your Hadoop journey.