Category Archives: Technical

DynamoDB: An Inside Look Into NoSQL – Part 7

In Part 6, we discussed handling failures via Hinted Handoff & Replica Synchronization. We also talked about the advantages of using a Sloppy Quorum and Merkle Trees. In this last & final part of the series, we will look into … Continue reading

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DynamoDB: An Inside Look Into NoSQL – Part 6

In Part 5, we spoke about data versioning, the 2 reconciliation strategies and how vector clocks are used for the same. In this article, we will talk about Handling Failures. Handling Failures – Hinted Handoff Even under the simplest of … Continue reading

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DynamoDB: An Inside Look Into NoSQL – Part 5

In Part 4, we talked about partitioning and replication in detail. We introduced consistent hashing, virtual nodes and the concept of coordinator nodes and preference list. In this article, we will discuss Data Versioning. Data Versioning Eventual consistency, introduced by … Continue reading

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DynamoDB: An Inside Look Into NoSQL – Part 4

In Part 3, we mentioned the various distributed techniques used while architecting NoSQL data stores. A table nicely summarized these techniques and their advantages. In this article, we will go into the details of partitioning and replication. Partitioning As mentioned … Continue reading

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DynamoDB: An Inside Look Into NoSQL – Part 3

In Part 2, we looked at Design Considerations of NoSQL and introduced the concept of eventual consistency. In this article, we will introduce the concepts and techniques used while architecting a NoSQL system. The core distributed systems techniques employed in … Continue reading

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DynamoDB: An Inside Look Into NoSQL – Part 2

In Part 1, we introduced you to NoSQL, spoke about the CAP theorem and certain assumptions that need to be made while designing NoSQL data stores. Let’s dive deeper! Design Considerations Traditional commercial systems and applications perform data replication in … Continue reading

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DynamoDB: An Inside Look Into NoSQL – Part 1

In our earlier posts (here and here), we introduced the Hadoop ecosystem & explained its various components using a real world example of the retail industry. We now possess a fair idea of the advantages of Big Data. NoSQL datastores … Continue reading

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