Christophe Blefari

MARCH 24, 2023

📺 Watch the full replay Here are my takeaways about the event: Mage and Kestra have been both developed with Airflow flaws in mind, especially about deployment complexity, reusability and data sharing between tasks. Out of the box Mage provide all-in-one web editor to write data pipelines with a great UX.

Lambda Architecture 130

Lambda Architecture Data Pipeline Data SQL 130

Data Engineering Podcast

AUGUST 21, 2022

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. Data stacks are becoming more and more complex.

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

Rockset

MAY 12, 2022

Database makers have experimented with different designs to scale for bursts of data traffic without sacrificing speed, features or cost. Lambda Architecture: Too Many Compromises A decade ago, a multitiered database architecture called Lambda began to emerge. Google and other web-scale companies also use ALT.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

Ascend.io

JULY 28, 2023

Data pipelines are integral to business operations, regardless of whether they are meticulously built in-house or assembled using various tools. As companies become more data-driven, the scope and complexity of data pipelines inevitably expand. Ready to fortify your data management practice?

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

Rockset

FEBRUARY 6, 2019

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.

Lambda Architecture 40

Lambda Architecture Architecture MongoDB Kafka 40

Data Engineering Podcast

NOVEMBER 20, 2021

If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days.

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

Monte Carlo

MARCH 14, 2023

For a use case like this, real-time data isn’t necessary, but reliable, regularly recurring data access is. Some data teams will leverage micro-batch strategies for time sensitive use cases. These involve data pipelines that will ingest data every few hours or even minutes.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 52