Data Engineering Weekly

FEBRUARY 18, 2025

I spoke with Jark Wu , who leads the Fluss and Flink SQL team at Alibaba Cloud, to understand its origins and potential. It addresses many of Kafka's challenges in analytical infrastructure. The combination of Kafka and Flink is not a perfect fit for real-time analytics; the integration of Kafka and Lakehouse is very shallow.

Kafka 73

Kafka Lambda Architecture SQL Architecture 73

Data Engineering Podcast

MAY 11, 2020

His most recent endeavor at StreamNative is focused on combining the capabilities of Pulsar with the cloud native movement to make it easier to build and scale real time messaging systems with built in event processing capabilities. How have projects such as Kafka and Pulsar impacted the broader software and data landscape?

Cloud 100

Cloud Lambda Architecture Kafka Hadoop 100

Rockset

FEBRUARY 6, 2019

That also meant a system that took full advantage of cloud efficiencies –responsive resource scheduling and disaggregation of compute and storage–while abstracting away all infrastructure-related details from users. This architecture has become popular in the last decade because it addresses the stale-output problem of MapReduce systems.

Lambda Architecture 40

Lambda Architecture Architecture MongoDB Kafka 40

Data Engineering Podcast

AUGUST 21, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. 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. In fact, while only 3.5%

Lambda Architecture 100

Lambda Architecture MongoDB MySQL Scala 100

Cloudera

NOVEMBER 2, 2020

Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Figure 1 below shows a standard architecture for a Real-Time Data Warehouse. Cloudera offers a platform, Cloudera Data Platform (CDP), for building end-to-end data applications in both the public and private cloud.

Data Warehouse 97

Data Warehouse Kafka Lambda Architecture BI 97

Knowledge Hut

APRIL 25, 2023

Lambda architecture: A combination of both batch and real-time processing, the lambda architecture has three layers. The lambda architecture ensures completeness of data with minimal latency. This API acts as a proxy between the application and the cloud services ensuring seamless transfer of data.

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Data Science 52

Data Engineering Weekly

JULY 9, 2023

Architectural patterns like Lambda Architecture and Kappa Architecture emerged to bridge the gap between real-time and batch data processing. Each architectural pattern has its limitation. link] Grab: Zero traffic cost for Kafka consumers. This opens the door to a more cost-efficient design.

Data Engineer 52

Data Engineer Data Engineering Engineering Lambda Architecture 52