Building a Modern Architecture for Interactive Analytics on Amazon S3 Using Dremio December 2020 Sponsored by Amazon Web Services Table of Contents Introduction 1 The Rise of the Cloud Data Lake 1 Data Lake Storage Is Flexible and Cost-Effective 1 Cloud Is Where the Action Is 2 Data Lakes on Amazon S3 2 Metadata is Key 2 AWS Glue 3 Optimized Data Lake File Formats 3 Existing Data Lake Tools Have Limitations 3 The Data Lake Engine 4 The Dremio Cloud Data Lake Engine 5 Support for Multiple Data Sources 6 Security and Data Governance 6 Lightning-fast queries 7 Reduce Cloud Spending with Elastic Engines 7 Finding the Right Balance 8 Compelling business benefits 9 Getting started with Dremio on AWS 10 Conclusion 11 1 Introduction Over the pa

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