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ChaosSearch

Episode 5 | Data Platform | Data Journey | 7 Challenges of Big Data Analytics

What are data platforms? A data platform (or more topical, “cloud data platform”) is an integrated set of technologies that collectively meet an organization’s end-to-end data needs. In totality, it enables the storage, delivery, and governance of company data, as well as a security layer for users and applications. The heart of a platform is an actual database where it might be better called a data “analytics” platform or in our case big data analytics platform. Learn more about data platforms and how the ChaosSearch platform solves the challenges faced in big data analytics.

Episode 3 & 4 | Data Destination & Data Governance | Data Journey

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).

Episode 1 | Data Pipelines | Data Journey | 7 Challenges of Big Data Analytics

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.

Data Journey | 7 Challenges of Big Data Analytics | Episode 0

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.

Trends and Emerging Technologies in Data Analytics for Manufacturing and Consumer Tech

More data is available than ever, challenging organizations to change how they interact with their data so they can get the most out of it. Ahmed Munir, Lead SAP Functional Technology Architect Manager at Whirlpool Corporation, has 16 years of SAP leadership experience. He joins us to share what he has learned about building great data teams, upcoming trends in data analytics to keep an eye on, and how data teams will evolve over the next 5-10 years.