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Data Engineering

Real-time data and event-driven infrastructure: streaming architecture, Apache Kafka and Confluent, schema evolution, and the foundations on which AI depends.

ALL 48AI ENGINEERING 8DATA ENGINEERING 19APPLICATIONS 5
AGENTIC AI 9PLATFORM 4PERSPECTIVE 2CASE STUDIES 1

Data Engineering insights

KACCDATA ENGINEERING cover for KACCTOPICc0c1c2groupDATA ENGINEERINGKACC// BYTES OVER STRINGS
KE Engineering TeamSep 15, 2022
Kafka Toolage: GrafanaDATA ENGINEERING cover for Kafka Toolage: GrafanacpumemioDATA ENGINEERINGKafka Toolage: Grafana// DASHBOARDS · METRICS · GRAFANA
KE Engineering TeamSep 13, 2022
Kafka Toolage: SetupDATA ENGINEERING cover for Kafka Toolage: SetupimagesDATA ENGINEERINGKafka Toolage: Setup// MONITORING · MANAGEMENT TOOLING
KE Engineering TeamSep 6, 2022
Druid on Apple SiliconDATA ENGINEERING cover for Druid on Apple SiliconpodsDATA ENGINEERINGDruid on Apple Silicon// ARM64 · APPLE SILICON
KE Engineering TeamSep 1, 2022
CDC with Kafka Connect and DebeziumDATA ENGINEERING cover for CDC with Kafka Connect and Debeziumdbchange eventsDATA ENGINEERINGCDC with Kafka Connectand Debezium// DEBEZIUM · CHANGE DATA CAPTURE
KE Engineering TeamAug 29, 2022
Local Development for Real-Time DataDATA ENGINEERING cover for Local Development for Real-Time Datakafkaupschema-registryupconnectupyour appdevLOCALHOST:9092DATA ENGINEERINGLocal Development forReal-Time Data// CONTAINER · LOCAL REAL-TIME
KE Engineering TeamAug 25, 2022
Apache Kafka: A Practitioner's ReferenceData Engineering cover for Apache Kafka: A Practitioner's ReferenceLEADERB1B2B3clusterDATA ENGINEERINGApache Kafka: APractitioner'sReference// THE PARTS THAT DO NOT GO STALE
KE Engineering TeamAug 24, 2022

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