Browsing Tag

MongoDB

5 posts
Enterprise Application Integration with Confliuent and Databricks for Oracle SAP Salesforce Servicenow et al
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  • 1.2K views
  • 12 minute read

Databricks and Confluent in the World of Enterprise Software (with SAP as Example)

Enterprise data lives in complex ecosystems—SAP, Oracle, Salesforce, ServiceNow, IBM Mainframes, and more. This article explores how Confluent and Databricks integrate with SAP to bridge operational and analytical workloads in real time. It outlines architectural patterns, trade-offs, and use cases like supply chain optimization, predictive maintenance, and financial reporting, showing how modern data streaming unlocks agility, reuse, and AI-readiness across even the most SAP-centric environments.
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Stream Exchange for Data Sharing with Apache Kafka in a Data Mesh
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  • 10 minute read

Streaming Data Exchange with Kafka and a Data Mesh in Motion

Data Mesh is a new architecture paradigm that gets a lot of buzzes these days. This blog post looks into this principle deeper to explore why no single technology is the perfect fit to build a  Data Mesh. Examples show why an open and scalable decentralized real-time platform like Apache Kafka is often the heart of the Data Mesh infrastructure, complemented by many other data platforms to solve business problems.
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Book Review: “Getting Started with NoSQL” by Gaurav Vaish (Packt Publishing)

“Getting Started with NoSQL” is a new book by PACKT PUBLISHING. It gives an introduction to different NoSQL concepts and products. Besides, it explains the differences to SQL databases and when to use which one. With 150 pages, the book is not extensive, but sufficient. It is a good introduction to NoSQL databases for developers, architects and decision makers.
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Systems Integration in the NoSQL Era with Apache Camel and Talend (MongoDB, Neo4j, HBase, AWS S3, Hazelcast, CouchDB)

In February 2013, I was at ApacheCon NA 2013 in Portland, Oregon, USA. My session was named “Systems Integration in the NoSQL Era with Apache Camel”. I showed how to integrate several different NoSQL databases such as MongoDB (document), Neo4j (graph), HBase (column), AWS S3 (key-value), or Hazelcast (in-memory).
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