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Module 2: Resources and Access in the Cloud
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Module 1: Introduction to Google Cloud
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Module 5: Best Practices for Using Cloud Storage
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Module 4: Best Practices for Using Cloud Datastore
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Module 3: Data Storage Options
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Module 2: Google Cloud Client Libraries
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Module 1: Best Practices for Application Development
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7.4 Simple key-value database
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7. Data store internals
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7.3 Time series data
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7. Data store internals
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7.2 Index
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7. Data store internals
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7.1 Log
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7. Data store internals
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Storing messages in memory: pros: fast cons: limited memory space (drop messages vs storing t...
6.6 Big compute architecture **
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6 The importance of queues in distribut...
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6.5 Thread pool
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6 The importance of queues in distribut...
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6.4 Blocking queue and producer-consumer pattern ****
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6 The importance of queues in distribut...
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6.2 Full and empty queue problems
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6 The importance of queues in distribut...
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To prevent crashing, every queue in the broker memory should have a limited size since a broker c...
6.1 Queue
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6 The importance of queues in distribut...
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Bounded vs Unbounded queues
5.2 Metadata cache
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5. How to improve system performance wi...
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How to make sure data in cache and data in database are consistent as up-to-date as possible. ...
5.1 Deduplication cache
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5. How to improve system performance wi...
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How to avoid duplicates?
4.6 Message acknowledgment
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4. Fundamentals of reliable, scalable, ...
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4.5 Data encoding formats
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4. Fundamentals of reliable, scalable, ...
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