Categories: EAIESBJava / JEE

JBoss OneDayTalk 2013: “NoSQL Integration with Apache Camel – MongoDB, CouchDB, Neo4j, Cassandra, HBase, Hazelcast, Riak, etc.”

JBoss OneDayTalk is a great annual event around open source development. I have done a talk about “NoSQL Integration with Apache Camel”. This blog post shows you the updated slide deck of this talk.

Abstract

SQL cannot solve several problems emerging with big data. A distributed, fault-tolerant architecture is necessary. NoSQL comes to the rescue, but therefore it does not use SQL as its query language or give full ACID guarantees. Thus, in the future you will have to learn new concepts and integrate these NoSQL databases as you integrate SQL databasestoday. The open source integration framework Apache Camel is already prepared for this challenging task.

Apache Camel implements the well-known Enteprise Integration Patterns (EIP) and therefore offers a standardized, domain-specific language to integrate applications and clouds. It can be used in almost every integration project within the JVM environment. All integration projects can be realized in a consistent way without redundant boilerplate code.

This session demonstrates the elegance of Apache Camel for NoSQL integration. Several examples are shown for all different concepts by integrating NoSQL databases from CouchDB (Document Store), HBase (Column-oriented), Neo4j (Graph), Amazon Web Services (Key Value Store), and others.

If the required NoSQL database is not supported by Apache Camel, you can easily create your own Camel component with very low effort. This procedure is explained at the end of the session.

Slides

Click on the button to load the content from www.slideshare.net.

Load content

Kai Waehner

bridging the gap between technical innovation and business value for real-time data streaming, processing and analytics

Recent Posts

Fully Managed (SaaS) vs. Partially Managed (PaaS) Cloud Services for Data Streaming with Kafka and Flink

The cloud revolution has reshaped how businesses deploy and manage data streaming with solutions like…

5 days ago

Apache Flink: Overkill for Simple, Stateless Stream Processing and ETL?

Discover when Apache Flink is the right tool for your stream processing needs. Explore its…

1 week ago

Virgin Australia’s Journey with Apache Kafka: Driving Innovation in the Airline Industry

Data streaming with Apache Kafka and Flink is transforming the airline industry, enabling real-time efficiency…

2 weeks ago

Stateless vs. Stateful Stream Processing with Kafka Streams and Apache Flink

The rise of stream processing has changed how we handle and act on data. While…

4 weeks ago

How Siemens Healthineers Leverages Data Streaming with Apache Kafka and Flink in Manufacturing and Healthcare

Siemens Healthineers, a global leader in medical technology, delivers solutions that improve patient outcomes and…

1 month ago

My Road to Lufthansa HON Circle Status in 2025

Discover my journey to achieving Lufthansa HON Circle (Miles & More) status in 2025. Learn…

1 month ago