Google Cloud Dataflow VS Exam.net

• Scalability
  Google Cloud Dataflow can automatically scale up or down depending on your data processing needs, handling massive datasets with ease.
• Fully Managed
  Dataflow is a fully managed service, which means you don't have to worry about managing the underlying infrastructure.
• Unified Programming Model
  It provides a single programming model for both batch and streaming data processing using Apache Beam, simplifying the development process.
• Integration
  Seamlessly integrates with other Google Cloud services like BigQuery, Cloud Storage, and Bigtable.
• Real-time Analytics
  Supports real-time data processing, enabling quicker insights and facilitating faster decision-making.
• Cost Efficiency
  Pay-as-you-go pricing model ensures you only pay for resources you actually use, which can be cost-effective.
• Global Availability
  Cloud Dataflow is available globally, which allows for regionalized data processing.
• Fault Tolerance
  Built-in fault tolerance mechanisms help ensure uninterrupted data processing.

Possible disadvantages

• Steep Learning Curve
  The complexity of using Apache Beam and understanding its model can be challenging for beginners.
• Debugging Difficulties
  Debugging data processing pipelines can be complex and time-consuming, especially for large-scale data flows.
• Cost Management
  While it can be cost-efficient, the costs can rise quickly if not monitored properly, particularly with real-time data processing.
• Vendor Lock-in
  Using Google Cloud Dataflow can lead to vendor lock-in, making it challenging to migrate to another cloud provider.
• Limited Support for Non-Google Services
  While it integrates well within Google Cloud, support for non-Google services may not be as robust.
• Latency
  There can be some latency in data processing, especially when dealing with high volumes of data.
• Complexity in Pipeline Design
  Designing pipelines to be efficient and cost-effective can be complex, requiring significant expertise.

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Introduction to Google Cloud Dataflow - Course Introduction

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Exam.net walkthrough (English)

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• How do you implement CDC in your organization

  Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if... Source: almost 4 years ago

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  This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: about 4 years ago

• How are view/listen counts rolled up on something like Spotify/YouTube?

  I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: about 4 years ago

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• I am awake late studying came to take a printout

  We had ours but they were online... Half yearly was MCQ google forms annual was on exam.net which is a platform for tests that "locks" the page, so we don't copy... If we do we need perms to continue, and we were video monitored the... Source: over 4 years ago

• Andi mandi shandi jine cheating ki uski gnd ne dandi

  Vai mere liye to do device(one monitoring phone, one laptop on which the exam worksheet comes) aur exam.net hai 😭. Source: almost 5 years ago

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  Can exam.net detect if you use two monitors? Like the test on one than you click to the other does it flag that? Source: almost 5 years ago

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