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Modern Customer Data Platform Principles

Data Engineering Podcast

Summary Databases and analytics architectures have gone through several generational shifts. A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. Find simplicity in your most complex projects with Miro.

Data Lake 147
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Data Engineering Weekly #107

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Sign up free to test out the tool today.

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Azure Data Engineer Interview Questions -Edureka

Edureka

If you want to become a data engineer, you should prepare for the interview process. To help you get a head start on your preparation, I’ve compiled a list of the Top 30+ Azure Data Engineer Interview Questions. When it comes to professionals, data engineers are the most in-demand in the IT industry.

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Top-Paying Data Engineer Jobs in Singapore [2023 Updated]

Knowledge Hut

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

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An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

In this episode Shruti Bhat gives her view on the state of the ecosystem for real-time data and the work that she and her team at Rockset is doing to make it easier for engineers to build those experiences. Data stacks are becoming more and more complex. Can you describe what is driving the adoption of real-time analytics?

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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. Data Warehouse (Or Lakehouse) Migration 34. Integrate Data Stacks Post Merger 35. Conduct Pre-Mortems 38.

Data 52
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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. Data warehouse (or Lakehouse) migration 34. Integrate Data Stacks Post Merger 35. Conduct Pre-Mortems 38.