The Hadoop Training will also be an excellent networking event for developers, architects, data analysts & scientists, startups, CIOs and IT professionals.
Apache Hadoop is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance. Rather than relying on high-end hardware, the resiliency of these clusters comes from the software’s ability to detect and handle failures at the application layer.
Why Hadoop?
Hadoop changes the economics and the dynamics of large scale computing. Its impact can be boiled down to four salient characteristics.
Hadoop enables a computing solution that is:
-Scalable
-Cost effective
-Flexible.
-Fault tolerant
Who uses Hadoop?
Even if the most known Hadoop suite is provided by a very specialized actor named Cloudera (also by MapR, HortonWorks, and of course Apache), big vendors are positioning themselves on this technology. Companies who use Hadoop are Facebook, Apple, Twitter, eBay, Amazon, IBM, Accenture, Microsoft, Dell, Hitachi, Fujitsu, Informatica, Oracle, Capgemini, Intel, Seagate and many more.
You can attend 1st 2 sessions for free. once you like the classes then you can go for registration.
or full course details please visit our website
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
INDIA: +91-9052666559
USA: +1-6786933475
visit www.hadooponlinetraining.net
please mail us all queries to info@magnifictraining.com
Magnigic training Offerining Hadoop/Big data online training in USA,UK,CANADA,AUSTRALIA.
Hadoop, Hadoop Optimization, Cluster Monitoring, Job Monitoring, Configuration, HBase,HBase Optimization, Hive Pig, Cassandra, MongoDB, Couch, MapReduce, Data Science Anlaytics, Modelling, Architecture, Comparisons, Reviews.
Hadoop Big Data Training on:
*Development*Administration*Architect Training Course
Course Outline:What is Big Data & Why Hadoop?Hadoop Overview & it’s EcosystemHDFS – Hadoop Distributed File SystemMap Reduce AnatomyDeveloping Map Reduce ProgramsAdvanced Map Reduce ConceptsAdvanced Map Reduce AlgorithmsAdvanced Tips & TechniquesMonitoring & Management of HadoopUsing Hive & Pig ( Advanced )HBaseNoSQLSqoopDeploying Hadoop on CloudHadoop Best Practices and Use Cases.
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
Magnific Training course for Apache Hadoop provides a comprehensive knowledge of technologies, architecture, administration, deployment and development in Hadoop cluster. Specifically, we will cover different Hadoop services, configurations, best practices, and lab in which attendees can practice different components (HDFS, MapReduce, Pig, Hive and HBase) of Hadoop.
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.
Our Hadoop Online training includes Analytics, Big Data and Cloudera Hadoop.We are also offering SAP along with this Certification Course to meet the present day job requirements for Hadoop.
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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