Confluent

JUNE 26, 2019

Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. In these projects, microservice architectures use Kafka as an event streaming platform. Microservices.

Microservices 109

Microservices Software Review Technical Review Architecture 109

Confluent

FEBRUARY 6, 2019

Some examples of model deployment in Kafka environments are: Analytic models (TensorFlow, Keras, H2O and Deeplearning4j) embedded in Kafka Streams microservices. Anomaly detection of IoT sensor data with a model embedded into a KSQL UDF. RPC communication between Kafka Streams application and model server (TensorFlow Serving).

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Confluent

SEPTEMBER 26, 2019

Kai’s main area of expertise lies within the fields of big data analytics, machine learning, integration, microservices, Internet of Things, stream processing, and blockchain.

Analytics 20

Analytics Serverless Blockchain Microservices 20

Confluent

FEBRUARY 13, 2019

Do I need to use a microservices framework? Distributed object (RPC sync), service-oriented architecture (SOA), enterprise service bus (ESB), event-driven architecture (EDA), reactive programming to microservices and now FaaS have each built on the learnings of the previous. Event-driven architecture. Comparing persistence models.

Architecture 88

Architecture Programming Microservices Serverless 88

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 105, -17) or even “Python” (No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Confluent

OCTOBER 10, 2019

Different teams can develop, maintain, and change integration to devices and machines without being dependent on other sources or the sink systems that process and analyze the data. Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail.

IoT 20

IoT Internet Weak Development Team Scalability 20

Bernd Rucker

JULY 18, 2019

like a journal in accounting. Contrary to other microservice orchestration engines on the market, Zeebe puts a strong focus on visual workflows as we believe that visual workflows are key for providing visibility into asynchronous interactions, at design time, runtime and during operations.

Scalability 42

Scalability Data Center Data Engineering 42