Optimizing Data Preparation and Data Quality in Complex Big Data Environments

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As more companies turn to analytics to help solve their business challenges, conversations around precision and agility in manipulating data are on the rise. However, trying to achieve that goal at the scale and speed demanded seems almost impossible for some organizations given the increasing volumes of data they are experiencing. Data scientists and analysts are spending more time manipulating data than actually finding the answers they seek through analyses. How can you help your organization meet its needs for accurate and fast insights while maximizing analyst productivity and ensuring clean and consistent data across your organization? In this webinar George Corugedo, CTO of RedPoint Global, will detail best practices for improving the way data is transformed and delivered across a hybrid data environment, including Hadoop, and share ways to optimize your data preparation process for maximum productivity. During this webinar you will learn: -How to minimize data prep time in support of modeling and analytics -Why trying to apply conventional wisdom to cleansing Big Data is the wrong approach -How to take full advantage of Big Data without having specialized coding skills

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RedPoint Global offers a comprehensive set of world-class ETL, data quality and data integration applications that operate in and across both traditional and Hadoop /YARN environments. The company also offers data-driven customer engagement solutions that help companies derive insights from customer behaviors and create consistent, relevant and precise messaging across any and all channels. All RedPoint applications offer a unique visual user interface that eliminates the need for programming skills, allowing enterprises to utilize all data to achieve their strategic business goals. For more information, visit www.redpoint.net or email us at: contact.us@redpoint.net.