I just want to publish my updated slide deck from WJAX 2013 in Munich. I have integrated some real world use cases for showing Hadoop integration with Apache Camel and Talend Open Studio for Big Data.
Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data. Apache Hadoop is the open source defacto standard for implementing big data solutions on the Java platform. Hadoop consists of its kernel, MapReduce, and the Hadoop Distributed Filesystem (HDFS). A challenging task is to send all data to Hadoop for processing and storage (and then get it back to your application later), because in practice data comes from many different applications (SAP, Salesforce, Siebel, etc.) and databases (File, SQL, NoSQL), uses different technologies and concepts for communication (e.g. HTTP, FTP, RMI, JMS), and consists of different data formats using CSV, XML, binary data, or other alternatives. This session shows different open source frameworks and products to solve this challenging task. Learn how to use every thinkable data with Hadoop – without plenty of complex or redundant boilerplate code.
Click on the button to load the content from www.slideshare.net.
This blog explores how Confluent and Databricks address data integration and processing in modern architectures.…
Confluent and Databricks have redefined modern data architectures, growing beyond their Kafka and Spark roots.…
The telecommunications industry is transforming rapidly as Telcos expand partnerships with MVNOs, IoT platforms, and…
Mobility services like Uber, Grab, and FREE NOW (Lyft) rely on real-time data to power…
The rise of Electric Vehicles (EVs) demands a scalable, efficient charging network—but challenges like fluctuating…
Apache Kafka 4.0 represents a major milestone in the evolution of real-time data infrastructure. Used…
