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Storytelling in the Dataverse

Storytelling in the Dataverse

When Quantum Gravity governs your pipeline!
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Mark Burgess
15# Beyond data pipelines

15# Beyond data pipelines

Realizing Smart Workspaces
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Mark Burgess
14# From wireframe to fully rendered

14# From wireframe to fully rendered

Resampling for trial and error
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Mark Burgess
13# The 4 R’s

13# The 4 R’s

Reading, ‘Riting, Recursion, and Reusability
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Mark Burgess
12# One step forwards, two steps backwards

12# One step forwards, two steps backwards

Faults, flaws, errors, and policy
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Mark Burgess

Aljabr in the news

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Mark Burgess
#11: Say Cheese!

#11: Say Cheese!

When to snapshot batches
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Aljabr, Inc.
#10: Swallow the spider to catch the fly

#10: Swallow the spider to catch the fly

When infrastructure gets in the way
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Aljabr, Inc.
#9: Data, data, everywhere…

#9: Data, data, everywhere…

And Smart Links in between
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Aljabr, Inc.
#8: Clutching at pipelines

#8: Clutching at pipelines

The world of the Koalja
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Aljabr, Inc.
#7: Data in, story out

#7: Data in, story out

Making the data flow
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Aljabr, Inc.
#6: Steering the cloud simply and predictably

#6: Steering the cloud simply and predictably

Enter Kubernetes and the container cloud
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Aljabr, Inc.
#5: Configuring on all cylinders

#5: Configuring on all cylinders

A case study in declarative workflows
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Aljabr, Inc.
#4: Race to the finish: cache or check?

#4: Race to the finish: cache or check?

Parallelizing workflow outcomes
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Aljabr, Inc.
#3: Desired outcomes

#3: Desired outcomes

How Makefiles changed the way we think
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Aljabr, Inc.

#2: The point of departure is not to return

Getting started by scripting
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Aljabr, Inc.
#1: Introduction to Aljabr: Pipelines and Workflows

#1: Introduction to Aljabr: Pipelines and Workflows

Workflows are often automated process sequences that transform an input into an output. Historically, workflows account for the bulk of…
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Aljabr, Inc.
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