Introducing Apache Apex (incubating) – Next-gen native Hadoop Big Data platform - Seguridad Mania.com - España y América Latina

Apache Hadoop has become the de-facto big data platform. It represents tremendous promise of using big data to transform business operations. Hadoop was developed as a solution for efficient and scalable search indexing need. The first version had MapReduce programming model. Mastering MapReduce required steep learning curve, and migrating applications to MapReduce needed a complete re-write. This along with the requirement of moving compute closer to data made MapReduce an impediment that did little to bolster productization of big data. There are faster in-memory substitutes to MapReduce, but they too carry the same baggage. In hindsight, Hadoop should have modeled itself as a distributed operating system, and enabled various programming models to run. Hadoop 2.0 (Yarn) was the answer. Not only does Yarn allow organizations to perform advanced analytics with data at unprecedented volume, but it’s also broadened the use cases for Big Data across the industry segments. What is now needed is bleeding edge Yarn-based platform capable of radically realizing Hadoop’s potential. These new age big data platforms must deliver real business value of the Big Data. This means easy deployment, ease of  integration with existing IT infrastructure, ease of migration and development of applications to Hadoop, and faster time to insight for business. The key requirements of this new platforms should reside in: • Simplicity and Production-ready • Code Reuse • Operability • Ease of integration • Leveraging the power of Hadoop In this webinar we will discuss Apache Apex (incubating), the next generation native Hadoop big data platform. We will go into details on how Apex meets these requirements.