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Who are we? Dhaval Jagani Principal Technology Architect Leads the data track within Modernization Practice Neeraj Nagpal ...
MongoDB… Powering the new age data demands 3
Where are we seeing the usage of new age databases? 4 …and all of these keeping in view of the volume, velocity and variet...
MongoDB has been solving many of these new age demands Let us take a peek into some of these real world use cases 5
Client is American Technology Conglomerate 6 Client Scenario # 1
How did we design the target architecture to solve the problem? 7 1 MongoDB powered the observability layer in the archite...
How did we design the observability layer? 8
How is the observability layer populated? 9
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]
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MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]

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Our clients have unique use cases and data patterns that mandate the choice of a particular strategy. To implement these strategies, it is mandatory that we unlearn a lot of relational concepts while designing and rapidly developing efficient applications on NoSQL. In this session, we will talk about some of our client use cases, the strategies we have adopted, and the features of MongoDB that assisted in implementing these strategies.

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MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]

  1. 1. Who are we? Dhaval Jagani Principal Technology Architect Leads the data track within Modernization Practice Neeraj Nagpal Sr. Enterprise Architect, INFOSYS Ltd. Modernization Practice 2
  2. 2. MongoDB… Powering the new age data demands 3
  3. 3. Where are we seeing the usage of new age databases? 4 …and all of these keeping in view of the volume, velocity and variety of data Building highly available applications Enabling Event-driven architectures Implement distributed query capability
  4. 4. MongoDB has been solving many of these new age demands Let us take a peek into some of these real world use cases 5
  5. 5. Client is American Technology Conglomerate 6 Client Scenario # 1
  6. 6. How did we design the target architecture to solve the problem? 7 1 MongoDB powered the observability layer in the architecture
  7. 7. How did we design the observability layer? 8
  8. 8. How is the observability layer populated? 9

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