Remove Analytics Architecture Remove Data Management Remove SQL
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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. What are the core technical challenges associated with building and maintaining a CDP?

Data Lake 147
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A Multipurpose Database For Transactions And Analytics To Simplify Your Data Architecture With Singlestore

Data Engineering Podcast

In this episode SVP of engineering Shireesh Thota describes the impact on your overall system architecture that Singlestore can have and the benefits of using a cloud-native database engine for your next application. Atlan is a collaborative workspace for data-driven teams, like Github for engineering or Figma for design teams.

Database 100
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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. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

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Data Engineering Weekly #107

Data Engineering Weekly

[link] If you are a modern data leader and interested in adopting Data Contract or talking to understand what it is, say hi on LinkedIn [link] Netflix: New Series - Creating Media with Machine Learning Can ML replace creative content generators, or can it be an excellent assistant to take creativity to a new height? Not Endless DAGs!

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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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Snowflake Data Mesh: Ensure Reliable Data with Data Observability

Monte Carlo

There’s a lot of content out there about why a data mesh is (or isn’t) the best thing since sliced bread. But one thing’s for sure: if you can’t trust the data powering your analytics architecture, it’s hard to justify the investment. More sources and more consumers meant more pipelines and more challenges.