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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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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. It excels in event-driven architectures and data pipelines. Fluss is tailored for real-time analytics. How do you compare Fluss with Apache Kafka?

Kafka 73
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An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

Data stacks are becoming more and more complex. This brings infinite possibilities for data pipelines to break and a host of other issues, severely deteriorating the quality of the data and causing teams to lose trust. Can you describe what is driving the adoption of real-time analytics?

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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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An In-Depth Guide to Real-Time Analytics

Striim

To achieve this, combine data from the sum of your sources. For this purpose, you can use ETL (extract, transform, and load) tools or build a custom data pipeline of your own and send the aggregated data to a target system, such as a data warehouse.

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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.

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Azure Data Engineer Interview Questions -Edureka

Edureka

Azure Synapse is a boundless analytics service that combines enterprise data warehousing and Big Data analytics. Users are given the choice to query data on specific terms for using either serverless on-demand or scale-out provisioned resources. 7) Describe the Azure Synapse Analytics architecture.