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ChaosSearch

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.

Integrating Observability into Your Security Data Lake Workflows

Today’s enterprise networks are complex. Potential attackers have a wide variety of access points, particularly in cloud-based or multi-cloud environments. Modern threat hunters have the challenge of wading through vast amounts of data in an effort to separate the signal from the noise. That’s where a security data lake can come into play.

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.

5 Insights from Gartner's Hype Cycle for Data Management 2022 Report

As a global leader in technology research, Gartner supports enterprise organizations, non-profits, and government agencies by sharing information and in-depth analysis of emerging technological trends, tools, and products. With the continued growth of big data over the past decade, Gartner has been especially invested in helping data and analytics (D&A) leaders make the right decisions for managing and generating value from data within their organizations.