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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. Can you describe what SingleStore is and the story behind it? What do you have planned for the future of SingleStore?

Database 100
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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. How has that changed the architectural approach to CDPs?

Data Lake 147
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Beyond Kafka: Conversation with Jark Wu on Fluss - Streaming Storage for Real-Time Analytics

Data Engineering Weekly

Kafka is designed for streaming events, but Fluss is designed for streaming analytics. Architecture Difference The first difference is the Data Model. The fourth difference is the Lakehouse Architecture. Fluss embraces the Lakehouse Architecture. It excels in event-driven architectures and data pipelines.

Kafka 73
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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

Streaming and batch unified in a single platform No Airflow - orchestration inferred from the data $99 / TB of data ingested | transformations free Start Your 30 Day Trial Wealthfront: Event Tracking System at Wealthfront A robust event-tracking system is critical for an efficient data management platform.

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Snowflake Data Mesh: Ensure Reliable Data with Data Observability

Monte Carlo

But one thing’s for sure: if you can’t trust the data powering your analytics architecture, it’s hard to justify the investment. Here’s how Snowflake and Monte Carlo are working together to help data teams realize the potential of the data mesh with end-to-end data observability.

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Geolocate CAD and BIM files from the start: Strategies and Resources

ArcGIS

The integration of AutoCAD, Civil 3D, digital models (Revit), and ArcGIS Pro combines the strengths of each system

Systems 101