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8 Essential Data Pipeline Design Patterns You Should Know

Monte Carlo

Lambda Architecture Pattern 4. Kappa Architecture Pattern 5. Lambda Architecture Pattern Here’s where things get interesting. Lambda architecture is like having both a regular washing machine for your weekly loads AND that magical instant-wash machine. Batch Processing Pattern 2.

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

Data Engineering Weekly

I spoke with Jark Wu , who leads the Fluss and Flink SQL team at Alibaba Cloud, to understand its origins and potential. Jark is a key figure in the Apache Flink community, known for his work in building Flink SQL from the ground up and creating Flink CDC and Fluss. Pinot provides SQL for OLAP queries and BI tool integrations.

Kafka 73
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Aggregator Leaf Tailer: An Alternative to Lambda Architecture for Real-Time Analytics

Rockset

That meant a system that was sufficiently nimble and powerful to execute fast SQL queries on raw data, essentially performing any needed transformations as part of the query step, and not as part of a complex data pipeline. Most processing in the Lambda architecture happens in the pipeline and not at query time.

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Exploring Processing Patterns For Streaming Data Integration In Your Data Lake

Data Engineering Podcast

By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more.

Data Lake 100
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Data News — Week 23.12

Christophe Blefari

In small browser text areas you will be able to write Python, SQL or R code and orchestrate theses transformations with drag-n-drop. I'd have love to speak about tools offering to translate human langage to SQL like sequel.ai LinkedIn team decided to migrate to a lambda architecture and got 94% uplift in performance.

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Building A Data Lake For The Database Administrator At Upsolver

Data Engineering Podcast

In order to bring the DBA into the new era of data management the team at Upsolver added a SQL interface to their data lake platform. How does the introduction of a universal SQL layer change the staffing requirements for building and maintaining a data lake? How is the SQL layer in Upsolver implemented?

Data Lake 100
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An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.