IBM Journey to AI blog

NOVEMBER 21, 2023

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. Apache Kafka transfers data without validating the information in the messages. What is a schema registry? What’s next?

Apache Kafka 106

Apache Kafka Clustering Data Quality Data Governance 106

IBM Journey to AI blog

JANUARY 8, 2024

They often use Apache Kafka as an open technology and the de facto standard for accessing events from a various core systems and applications. IBM provides an Event Streams capability build on Apache Kafka that makes events manageable across an entire enterprise.

EDA 80

EDA Apache Kafka Clustering Data Governance 80

The MLOps Blog

MARCH 15, 2023

Scalability : A data pipeline is designed to handle large volumes of data, making it possible to process and analyze data in real-time, even as the data grows. Data quality : A data pipeline can help improve the quality of data by automating the process of cleaning and transforming the data.

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59

Dataconomy

FEBRUARY 23, 2023

Data engineers play a crucial role in managing and processing big data Ensuring data quality and integrity Data quality and integrity are essential for accurate data analysis. Data engineers are responsible for ensuring that the data collected is accurate, consistent, and reliable.

Data Engineering 91

Data Engineering Data Engineer Data Engineering Data Engineering 91

Mlearning.ai

MAY 16, 2023

The events can be published to a message broker such as Apache Kafka or Google Cloud Pub/Sub. The message broker can then distribute the events to various subscribers such as data processing pipelines, machine learning models, and real-time analytics dashboards. Here’s a high-level overview of how the MapReduce pattern works: A.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

The MLOps Blog

AUGUST 11, 2023

1 Data Ingestion (e.g., Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g., Embeddings provide a lower-dimensional representation of high-dimensional data that retains key patterns and information. Other areas in ML pipelines: transfer learning, anomaly detection, vector similarity search, clustering, etc.

ML 52

ML ML Machine Learning Machine Learning 52