AWS Database Blog

Tag: DynamoDB

ETL Job Orchestration with Matillion, Amazon DynamoDB, and AWS Lambda

Traditional ETL tools often run on a schedule. If you are due to receive a file from a vendor between 1 A.M. and 4 A.M. on the third Wednesday of the month, you likely have a job scheduled look for the file at 4 A.M. But what if the file arrives late? Or what if […]

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Choosing the Right DynamoDB Partition Key

Gowri Balasubramanian is a solutions architect at Amazon Web Services This blog post will cover important considerations and strategies for choosing the right partition key while migrating from a relational database to DynamoDB. This is an important step in the design  and building of scalable and reliable applications on top of DynamoDB. What is a […]

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Introducing Cost Allocation Tags for Amazon DynamoDB

Nitin Sagar is a senior product manager for DynamoDB. You can now add tags to your Amazon DynamoDB tables. Tags are simple, user-customizable key and value pairs that are supported by many AWS services. Tagging for DynamoDB provides fine-grained visibility into your DynamoDB bill. You can assign tags to your tables and see cost breakouts […]

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Amazon DynamoDB at AWS re:Invent 2016—Wrap-Up

Vrutik Ghai is a product manager at Amazon Web Services We wrapped up an exciting AWS re:Invent. It was great to interact with current and future Amazon DynamoDB customers and hear their feedback and suggestions. Multiple re:Invent breakout sessions highlighted DynamoDB. These sessions consisted of deep dives, best practices, and customer talks with real-life examples […]

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Should Your DynamoDB Table Be Normalized or Denormalized?

Gowri Balasubramanian is a solutions architect for Amazon Web Services. In the context of databases, the term normalization refers to the process of organizing the columns (attributes) and tables (relations) of a relational database to minimize data redundancy. The general recommendation for relational databases is to use a normalized schema. This blog post will cover […]

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