Author Archives: pristinecrap

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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Hazelcast & Distributed Sequence Counter

There always comes a time in your professional career when you get stuck, and for days at a time! Every developer worth his salt has definitely gone through this phase. Another such moment occurred in my career too recently. We … Continue reading

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Big Data for Retail Analysis – Hive & Flume

Last week we introduced Big Data ecosystem and showed a glimpse of the possibilities. This week we take one industry (Retail) use case and illustrate how the various tools can be orchestrated to provide insights. Background The last couple of … Continue reading

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Big Data: Getting Started with Hadoop, Sqoop & Hive

We live in the Data Age! Web has been growing rapidly in size as well as scale during the last 10 years and shows no signs of slowing down. Statistics show that every passing year more data gets generated than all … Continue reading

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Apache Solr 4 Cookbook – A Review

I got an opportunity to review Apache Solr 4 Cookbook. Read my review below – I recently read this book and I am really impressed! This book provides good understanding of Apache Solr for both developers as well as consultants. … Continue reading

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