Apache Kafka ETL Events 
Hacker News
APRIL 24, 2025
The last few days I spent some time digging into the recently announced KIP-1150 ("Diskless Kafka"), as well AutoMQs Kafka fork, tightly integrating Apache Kafka and object storage, such as S3. Separating storage and compute and object store support would be table stakes, but what else should be there?
Smart Data Collective
AUGUST 17, 2022
You can safely use an Apache Kafka cluster for seamless data movement from the on-premise hardware solution to the data lake using various cloud services like Amazon’s S3 and others. 5 Key Comparisons in Different Apache Kafka Architectures. 5 Key Comparisons in Different Apache Kafka Architectures.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Dataconomy
JULY 29, 2024
Hosted at one of Mindspace’s coworking locations, the event was a convergence of insightful talks and professional networking. Mindspace , a global coworking and flexible office provider with over 45 locations worldwide, including 13 in Germany, offered a conducive environment for this knowledge-sharing event.
Data Science Blog
JUNE 27, 2023
In this representation, there is a separate store for events within the speed layer and another store for data loaded during batch processing. It is important to note that in the Lambda architecture, the serving layer can be omitted, allowing batch processing and event streaming to remain separate entities.
IBM Journey to AI blog
AUGUST 29, 2024
Event-driven businesses across all industries thrive on real-time data, enabling companies to act on events as they happen rather than after the fact. This is where Apache Flink shines, offering a powerful solution to harness the full potential of an event-driven business model through efficient computing and processing capabilities.
phData
MAY 3, 2024
How Snowflake Helps Achieve Real-Time Analytics Snowflake is the ideal platform to achieve real-time analytics for several reasons, but two of the biggest are its ability to manage concurrency due to the multi-cluster architecture of Snowflake and its robust connections to 3rd party tools like Kafka. Looking for additional help?
AWS Machine Learning Blog
JANUARY 6, 2023
TR used AWS Glue DataBrew and AWS Batch jobs to perform the extract, transform, and load (ETL) jobs in the ML pipelines, and SageMaker along with Amazon Personalize to tailor the recommendations. As the users are interacting with TR’s applications, they generate clickstream events, which are published into Amazon Kinesis Data Streams.
Expert insights. Personalized for you.
110 
Let's personalize your content