The Business Data Scientists Their View of Our World The Big Data - - PowerPoint PPT Presentation

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The Business Data Scientists Their View of Our World The Big Data - - PowerPoint PPT Presentation

Feb 12, 2024 105 likes •472 views

The Business Data Scientists Their View of Our World The Big Data Junk Yard Their View on our Happiness data scientist: 'the sexiest job of the 21st century' Their View on our work The BigData Junk Yard there will be too much data to handle,

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The Business Data Scientists

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Their View of Our World The Big Data Junk Yard

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Their View on our Happiness data scientist: 'the sexiest job of the 21st century'

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Their View on our work

The BigData Junk Yard

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there will be too much data to handle, process

  • r even “looked at”

within any given budget and time constraints

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Lets’ start forgetting data

DBMS Architects

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Lets’ start forgetting data

DBMS Architects

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Data rotting

The DBMS may selectively forget data on its own initiative for the sake of storage management and responsiveness.

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The food lifecycle

rotting refine

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Lesson 1:

Don't collect more Data than you can eat.

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Lesson 2:

Purify and refine Data makes consumption pleasant and lasting

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Lesson 3:

Data rotting is an evitable natural phenomena, learn to deal with Amnesia

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......

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TAKE HOME MESSAGES

  • Database amnesia techniques is a barren research landscape
  • Prepare the end-users to cope with their dementing database
  • Providing medicines with clear cost/effectiveness
  • Re-asses all components of a DBMS to implement amnesia
  • Schema rotting
  • Query execution rotting
  • Index storage rotting
  • Record storage rotting
  • Operating system rotting,
  • Hardware rotting
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THANK YOU, ENJOY YOUR RESEARCH ADVENTURES

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Hardware rotting

Hardware failures are a blessing, not a curse, as long as you can recognize them

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Operating System rotting

The OOM killer on Linux kicks in when it is faced with an out-of-memory condition.

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Record rotting

Tuples/pages/partitions that have not been accessed over a long period become the target for automated vacuum actions.

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Index rotting

Index structures, such as hashes and B-trees, are automatically capped to consume less space at the cost of re-growing its branches

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Query rotting

Every data item contributing to a query result set is removed and no derived

  • bject can be larger then the

contribution set

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The medicine against rotting is to refine/purify

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Data fungi architecture