![]() ![]() The case of using DynamoDB in a microservices journey is a design challenge that does not lay only in DynamoDB itself but also in service design, user experience, and dealing with transactions. Lack of DMS data validation post-migration. Migrating RDBMS native objects such as Sequences and Stored Procedures. Creating Composite keys for multiple entities in the same DynamoDB table. Data Type conversions to limited DynamoDB-supported data types. The challenges in this migration path are: Adapting the RDBMS entity-relationship model to DynamoDB via a PK, SK, LSI and GSI. Handling large volumes of data for known (i.e., no ad hoc) access patterns is the forte of DynamoDB. In other words, it simplifies the database ops. Especially in the monolith to microservices journey, a single microservices that is decomposed from a larger model ends up with a few entities, most of which do not need a full-blown RDS database but a few tables for easier access, cost-saving, and elastic scaling. Why would anyone want to move from RDBMS to DynamoDB, in a brownfield architecture, which then has a data migration to deal with? Having dealt with several such migrations, I can safely say that this migration path is not uncommon. And so, the schema-less-ness of DynamoDB makes migration from RDBMS a unique challenge. The laser-sharp focus that AWS has on scaling DynamoDB at any volume to provide consistent throughput means certain restrictions in how the model works. ![]() The challenges in the migration to DynamoDB are closely related to the inherent DynamoDB design and how radically it differs from RDBMs like Oracle. ![]() The examples presented in this article are modeled on practical migration challenges for clients where this migration path was followed. In this article, we look at the AWS DynamoDB as the target for the on-prem Oracle 19 database. ![]() The first article on the insights from Data Migrations using AWS DMS focused on on-prem Oracle source to AWS RDS PostgreSQL target. We thank you in advance for your help!–The DZone Publications team Your responses help shape the narrative of our Trend Reports, so we cannot do this without you. (And enter for a chance to win 1 of 5 $100 gift cards!) Take Our Survey Over the coming weeks, we will compile and analyze data from hundreds of DZone members, and observations will be featured in the "Key Research Findings" of our August Trend Report, Automated Testing: Modern Test Design and Architecture Across the Development Lifecycle. Our community members have a direct hand in driving the research covered in the report, and this is where we could use your anonymous insights! We're asking for ~5 minutes of your time to share your experience. automated tests across the SDLC Test types, approaches, and automation tools The intersection of AI and test automation DZone's Trend Report will explore current trends related to automated testing, covering everything from test design and architecture and test-driven development (TDD) to observed benefits of using AI and low-code solutions. Do you have experience with designing, managing, and executing tests? If so, our research survey is for you! In our Automated Testing survey, we're investigating areas such as: Manual vs. ![]()
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