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.

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Hadoop-Developer online training | Administration training

Magnific Training Online Hadoop trainings are conducted by experienced real-time experts by interacting with students through audio and screen sharing using hi-end technologies.



I’ve seen both DBAs and sysadmins becoming excellent Hadoop admins. In my highly biased opinions, DBAs have some advantages:

Everyone knows DBA stands for “Default Blame Acceptor”. Since the database is always blamed, DBAs typically have great troubleshooting skills, processes and instincts. All those are critical for good cluster admins.
DBAs are used to manage a system with millions of knobs to turn, all of which have critical impact on the performance and availability of the system. Hadoop is similar to databases in this sense – tons of configurations to fine-tune.
DBAs, much more than sysadmins, are highly skilled in keeping developers in check and making sure no one accidentally causes critical performance issues on an entire system. Critical skill when managing Hadoop clusters.
DBA experience with DWH (especially Exadata) is very valuable. There are many similarities between DWH workloads and Hadoop workloads, and similar principles guide the management of the system.
DBAs tend to be really good about writing their own monitoring jobs when needed. Every production database system I’ve seen has crontab file full of customized monitors and maintenance jobs. This skill continues to be critical for Hadoop system.

To be fair, sysadmins also have important advantages:

They typically have more experience managing huge number of machines. Much more so than DBAs. They have experience working with configuration management and deployment tools (puppet, chef), which is absolutely critical when managing large clusters. They can feel more comfortable digging in the OS and network when configuring and troubleshooting systems, which is important part of Hadoop administration.

You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.

or full course details please visit our website www.hadooponlinetraining.net

Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.

* Resume preparation and Interview assistance will be provided.
For any further details please contact +91-9052666559 or
visit www.magnifictraining.com

please mail us all queries to info@magnifictraining.com

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