As data becomes indispensable to organizations in nearly every industry, those that successfully generate business value from data will outperform their peers. This eBook provides key insights your teams can use to create modern analytics architectures. You’ll learn the barriers that keep businesses from getting to the data they need when they need it, and the challenges involved in utilizing traditional data warehousing for reporting and analytics. You’ll also explore the issues and advantages of integrating centralized data lakes to help avoid data silos at the enterprise level, and how an end-to-end analytics pipeline can help manage data collection, processing, analysis, and storage. Finally, you’ll discover how organizations like yours are applying machine learning to their data lakes for increased innovation.
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