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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 ...
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.
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