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.

How do you keep your data team focused and build something that people will derive value from? In this episode, we cover team engagement, how to evaluate tech, and the influence of consumer analytics on innovation. Listen to our conversation with Raheem Daya, Sr. Software Development Manager, Envision Engineering at Amazon Web Services: How to set a clear vision and keep your data team engaged How to decide what tech to invest in and build How consumer tech is democratizing data

What are the top three mega trends for data leaders this year (and beyond)? In this episode, we tackle cloud data platforms, the five sub disciplines of observability, and real-time machine learning. Listen to our conversation with Kevin Petrie, Vice President of Research at Eckerson Group. Hear the Answers to these Questions: Why a cloud data platform is a common destination with many routes? Which tools to standardize the different classes of observability? How the interrelationship between model observability and ML works?