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

Data Engineering Weekly

Fluss is a compelling new project in the realm of real-time data processing. I spoke with Jark Wu , who leads the Fluss and Flink SQL team at Alibaba Cloud, to understand its origins and potential. Kafka is designed for streaming events, but Fluss is designed for streaming analytics. Fluss is tailored for real-time analytics.

Kafka 74
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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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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. link] Sponsored: Build SQL Pipelines. Not Endless DAGs!

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An In-Depth Guide to Real-Time Analytics

Striim

Moreover, there are two forms of real-time analytics. These include: On-demand real-time analytics With on-demand real-time analytics, users send a request, such as with an SQL query, to deliver the analytics outcome. It relies on fresh data, but queries are run on an as-needed basis.

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Azure Data Engineer Interview Questions -Edureka

Edureka

Dynamic data masking serves several important functions in data security. It is possible to use Azure SQL Database, Azure SQL Managed Instance and Azure Synapse Analytics. It can be set up as a security policy on all SQL Databases in an Azure subscription. 2) What is Azure’s primary ETL service?

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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.