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Data-Intensive Applications: Big Ideas Behind Reliable, Scalable Systems

Analyst Content

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Analyst Content Designing Data-Intensive Applications - eBook
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Analyst Content Designing Data-Intensive Applications - eBook
Designing Data-Intensive Applications - eBook
Designing Data-Intensive Applications - eBook
Explore the broad variety of data-intensive applications and the systems that best fit each use case.

Historically, data was represented as one big tree (the hierarchical model), but that didn't epitomize many-to-many relationships. This discovery led to the creation of the relational data model. However, some applications don’t fit well in that model either.

New, nonrelational "NoSQL" data stores have emerged and diverged in two main directions:
  • Document databases that target use cases where data comes in self-contained documents, and relationships between one document and another are rare
  • Graph databases that go in the opposite direction, targeting use cases where anything is potentially related to everything
Read this e-book to help navigate the fast-changing landscape of technologies for processing and storing data.
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