Hadoop certification training

The cloud computing and Hadoop technologies are covering a wide range of topics. Though we have covered most detailed and complete contents in our training programs, participants with different background, interests and project requirements could have specific needs in relation to content, time, delivery method, and learning outcomes. Our training course may not fully meet your needs. Visit: www.magnifictraining.com Hadoop Training Course Content: 1. Understanding Big Data – What is Big Data ? Real world issues with BIG Data – Ex: How facebook manage peta bytes of data. Will regular traditional approach works? 2. How Hadoop Evolved Back to Hadoop evolution. The ecosystem and stack: HDFS, MapReduce, Hive, Pig… Cluster architecture overview 3. Environment for Hadoop development Hadoop distribution and basic commands Eclipse development 4. Understanding HDFS Command line and web interfaces for HDFS Exercises on HDFS Java API 5. Understanding MapReduce Core Logic: move computation, not data Base concepts: Mappers, reducers, drivers The MapReduce Java API (lab) 6. Real-World MapReduce Optimizing with Combiners and Partitioners (lab) More common algorithms: sorting, indexing and searching (lab) Relational manipulation: map-side and reduce-side joins (lab) Chaining Jobs Testing with MRUnit 7. Higher-level Tools Patterns to abstract “thinking in MapReduce” The Cascading library (lab) The Hive database (lab) Interested ? Enroll into our online Apache Hadoop training program now.