Learning and Operating Presto: Fast, Reliable SQL for Data Analytics and Lakehouses

There are several reasons why probabilistic machine learning represents the next-generation ML framework and technology for finance and investing. This generative ensemble learns continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, retrodiction, prediction, and counterfactual reasoning. Probabilistic ML also lets you systematically encode personal, empirical, and institutional knowledge into ML models.

Authors Angelica Lo Duca, Tim Meehan, Vivek Bharathan, and Ying Su explain what Presto is, where it came from, and how it differs from other data warehousing solutions. You'll discover why Facebook, Uber, Alibaba Cloud, Hewlett Packard Enterprise, IBM, Intel, and many more use Presto and how you can quickly deploy Presto in production.

With this book, you will:
• Learn how to install and configure Presto
• Use Presto with business intelligence tools
• Understand how to connect Presto to a variety of data sources
• Extend Presto for real-time business insight
• Learn how to apply best practices and tuning
• Get troubleshooting tips for logs, error messages, and more
• Explore Presto's architectural concepts and usage patterns
• Understand Presto security and administration

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