About the webinar:
One of the biggest challenges in managing data lakes is ensuring users can easily find, understand, and trust the data needed for valuable business insights. Many organizations store their enterprise data in a data lake using object storage like Amazon S3. However, data lakes can quickly become disorganized and inefficient due to redundant data, making it challenging and costly to search, index, and derive insights effectively.
At R Systems, we have built an efficient process for creating a streamlined data lake catalog using Amazon S3, Amazon Dynamo DB, AWS Lambda (serverless computing), and Amazon Elastic Search.
Our speakers will discuss & demonstrate the best practices for:
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- Configuring Dynamo DB to store Catalog information
- Setting up the Lambda function to trigger the Data Lake file ingestion
- Demonstrating search capabilities for efficient data access
Key Takeaways:
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- How to build a structured data lake
- Spending more time processing the data, and not finding the data
- Implementing access control
- Reducing costs, by eliminating data redundancies
- Setting regulatory compliance
Who Should Attend:
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- Chief Data Officer
- Director/VP of Engineering
- Director/VP of Analytics
- Data Architects, Systems Architects & Cloud Architects
- Data Engineers
Fill out the form to access the webinar recording.
Speakers
