Seattle Data Guy

MAY 26, 2024

Many data engineers and analysts don’t realize how valuable the knowledge they have is. They’ve spent hours upon hours learning SQL, Python, how to properly analyze data, build data warehouses, and understand the differences between eight different ETL solutions. Even what they might think is basic knowledge could be worth $10,000 to $100,000+ for a… Read more The post Why Data Analysts And Engineers Make Great Consultants appeared first on Seattle Data Guy.

Consulting 130

Consulting Engineering Data Warehouse SQL 130

Data Engineering Podcast

MAY 26, 2024

Summary Any software system that survives long enough will require some form of migration or evolution. When that system is responsible for the data layer the process becomes more challenging. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments. In this episode he shares some of the valuable lessons that he learned about how to make those projects successful.

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Data Engineering Weekly

MAY 26, 2024

Luke Byrne: Questions About AI Is AI all about hype? What do humans spend their time on in a post-AGI world? There are many burning questions from our readers, too, and the author did an amazing compilation of some of the widely discussed questions around AI development. What is your burning question about AI? [link] Chris Riccomini: S3 Is Showing Its Age Building a global scale distributed system with eleven 9s of durability and four 9s of availability is no easy feat.

Data Engineering 76

Data Engineering Data Engineer Engineering Google Cloud 76

Knowledge Hut

MAY 26, 2024

Kubernetes is a system for managing and orchestrating containerized applications across a cluster of nodes. It was designed by Google to manage and schedule containers at scale. Kubernetes can run on-premises or in the cloud, making it a popular choice for modernizing IT infrastructure. Many major companies use Kubernetes to manage their containerized applications, including Google, and Shopify.

Metadata 52

Metadata Certification Accessibility Accessible 52

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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