In the modern data stack – every data job has an offline and online component. Typically these are served by vastly different systems and employ a multi-hop architecture to make data sets available for each. This can be inefficient, inconsistent and expensive and can easily result in a Data MESS rather than a Data Mesh.
The shift left approach streamlines data processing by bringing offline workloads closer to online, reducing complexity and boosting efficiency. This means – faster insights, fewer headaches, and a more unified data experience. Enabling access to complete, reliable, and trustworthy data across the entire data estate, it transforms chaos into clarity.
We’ll be diving into the 5Ws and 1H of an organization’s shift left so you can unlock its full
potential and reap the rewards:
Who – needs the data? Who governs the data? Who owns the data?
What – data should be shifted left? What are the key workloads, pipelines, and use cases
that benefit from this approach?
Where – are the bottlenecks? Where should my source of truth live?
When – does data processing happen? When will my data be ready?
Why – does this improve efficiency, consistency, and cost-effectiveness? Why challenge the
status quo?
How – can I do this today?
Shifting left in the modern data stack – is a turbo for your old data infrastructure engine. Faster, smoother, and way less frustrating.
Join us on the path to leaner, smarter, more adaptable data stack, ready for whatever comes next!
Technical level: Technical practitioner
Session Length: 40 minutes
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