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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Embark on an innovative journey through the captivating world of Doug Cutting, the brilliant mind behind Hadoop, a revolutionary force in big data. Discover his early influences and career beginnings in tech, leading to the inception and rise of Hadoop as an industry-changing solution for data storage and processing. Uncover Cuttings contributions beyond Hadoop, including groundbreaking projects like Lucene and Nutch, and witness his lasting legacy in the open-source community. Delve into the challenges and successes of scaling Hadoop, and conclude with a personal glimpse into the visionary himself and his future ambitions for data analytics.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
Embark on an innovative journey through the captivating world of Doug Cutting, the brilliant mind behind Hadoop, a revolutionary force in big data. Discover his early influences and career beginnings in tech, leading to the inception and rise of Hadoop as an industry-changing solution for data storage and processing. Uncover Cuttings contributions beyond Hadoop, including groundbreaking projects like Lucene and Nutch, and witness his lasting legacy in the open-source community. Delve into the challenges and successes of scaling Hadoop, and conclude with a personal glimpse into the visionary himself and his future ambitions for data analytics.