What are data destinations? In a very abstract sense, data destination is another input along the series of process elements in a data pipeline. However, when calling out an element as the destination, it is really seen as the final destination such as a database, data lake or data warehouse. And yet, any element within the data pipeline has aspects of a final destination (and scaling challenges).

Data preparation issues, particularly at scale, can be solved. How? Thomas Hazel explains in episode 2 of our binge-worthy #datajourney series.

Where does a data journey begin? With the data pipeline. Thomas Hazel begins this 7-part series on solving the biggest data analytics challenges today by starting with the building, scaling and maintenance of data pipelines. Avoid building the Taj Mahal … every 6 months … and join the data journey with us to learn about the unique approach ChaosSearch has taken.

How do you truly solve the challenges of today’s ever growing big data analytic needs? Join us on a data journey with ChaosSearch's CTO & Founder, Thomas Hazel as he gets technical on how to solve 7 of the biggest data challenges teams are facing - from source to insights.

Hear about Ahmed Munir's work as the Lead SAP Functional Technology Architect Manager at Whirlpool Corporation.

In part 1, listen in as Wes talks through his day-to-day efforts at SAS.

In part 2 of our conversation with Wes Gelpi, Director of Research & Development at SAS, we dive into the importance and differences between data lakes, warehouses and virtualization.

Hear about Uday’s work as the CAO of Smarsh.

Don’t miss our engaging conversation with Alex Rasmussen, Principal Cloud Economist at The Duckbill Group.

Listen to our conversation with Robert Cooke, CTO & Founder of 3Forge to learn his perspective on how to implement unified solutions in IT.