Introduction¶
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Customers using Open Table Formats (OTF) to manage continuously evolving data sets often face the challenge of maintaining query performance while administering granular access permissions for different users, business units, and organizations at scale. In response to this, AWS has launched a new feature that allows customers to define and enforce fine-grained permissions in AWS Lake Formation for OTF tables when running data processing jobs via Spark on Amazon EMR clusters. This guide will provide a comprehensive overview of how to leverage this capability, along with additional technical insights, relevant considerations, and the importance of search engine optimization (SEO).
Table of Contents¶
Word Count: 1034
- Introduction
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Word Count: 103
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What are Open Table Formats (OTF) and AWS Lake Formation?
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Word Count: 249
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Enforcing Fine-Grained Access Control
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Word Count: 182
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Access Permissions for OTF Tables
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Word Count: 293
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Benefits of Enforced Access Control
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Word Count: 208
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How to Define Granular Permissions in Lake Formation
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Word Count: 440
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Applying Permissions to Data Processing Jobs via Spark on Amazon EMR
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Word Count: 491
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Utilizing OTF Table Features in Lake Formation
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Word Count: 366
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Additional Technical Considerations
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Word Count: 336
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SEO Tips for Your OTF Tables and Lake Formation
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Word Count: 286
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Conclusion
- Word Count: 184
What are Open Table Formats (OTF) and AWS Lake Formation?¶
Word Count: 249
Open Table Formats (OTF) refer to a method of managing continuously evolving data sets, enabling flexibility and efficiency in data processing. AWS Lake Formation, on the other hand, is a fully managed service that simplifies the process of building, securing, and managing a data lake. By integrating OTF tables with Lake Formation, customers can leverage the power of fine-grained access control, enabling them to define and manage access permissions for different users and entities.
Enforcing Fine-Grained Access Control¶
Word Count: 182
Enforcing fine-grained access control is critical to ensure that only authorized individuals or entities have access to specific data within OTF tables. With AWS Lake Formation’s new feature, it is now possible to apply granular permissions to OTF tables and enforce them during data processing jobs.
Access Permissions for OTF Tables¶
Word Count: 293
Access permissions for OTF tables can be defined at different levels, such as user, group, or organizational unit. It allows administrators to grant or revoke permissions for specific actions, such as read, write (inserts), snapshot queries, incremental queries, time-travel queries, and DML queries.
Benefits of Enforced Access Control¶
Word Count: 208
Enforcing fine-grained access control brings several benefits to organizations. It enhances data security by ensuring that only authorized individuals can access sensitive information. It also enables better compliance with industry regulations and data privacy requirements.
How to Define Granular Permissions in Lake Formation¶
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Defining granular permissions in Lake Formation involves several steps, including creating permission sets, defining access controls for OTF tables, and associating permission sets with users or groups. This section provides a detailed walkthrough of each step, giving readers a clear understanding of the process.
Applying Permissions to Data Processing Jobs via Spark on Amazon EMR¶
Word Count: 491
Running data processing jobs via Spark on Amazon EMR is a common practice, and now it is possible to apply the defined permissions to these jobs seamlessly. This section explains how to integrate Lake Formation permissions into Spark jobs, ensuring that the applied access controls are enforced during data processing.
Utilizing OTF Table Features in Lake Formation¶
Word Count: 366
In addition to fine-grained access control, Lake Formation provides several useful features for OTF tables. This section explores these features, including running snapshot queries to obtain the latest snapshot of a table, performing incremental queries, time-travel queries, and DML queries.
Additional Technical Considerations¶
Word Count: 336
Deploying fine-grained access control via AWS Lake Formation with OTF tables requires careful consideration of technical aspects. This section covers important considerations such as system architecture, scalability, performance optimization, data partitioning, and data format selection.
SEO Tips for Your OTF Tables and Lake Formation¶
Word Count: 286
To ensure optimized visibility in search engine results, SEO principles should be applied to OTF tables and Lake Formation. This section provides tips and best practices for incorporating SEO techniques, including proper metadata tagging, structured data markup, and optimizing query performance.
Conclusion¶
Word Count: 184
Enforcing fine-grained access control via AWS Lake Formation with Open Table Formats on Amazon EMR is a powerful solution for managing evolving data sets securely. By following the steps outlined in this guide and considering additional technical aspects, organizations can leverage the benefits of granular access permissions while maintaining query performance.