Big data hadoop Training Bangalore, Big data Hadoop Training BTM, BTM

How is Big data Hadoop Market ?

According to the IDC forecast, the Big Data market is predicted to be worth $46.34 billion by 2018 and is expected to have a sturdy growth across Big Data related infrastructure, software and services over the next five years. IDC also predicts that the Big Data technology and the associated services market is expected to grow at a compound annual growth rate of 23.1% over the period of 2014-2019 with annual spending reaching $48.6 billion in 2019. Hadoop which has become almost synonymous with Big Data is predicted to grow at 58.2% CAGR between 2013 and 2020..

Hadoop Growth ( Big data Implementations )

Scope of Hadoop Development training and Placements

As the size of data increases, the demand for Big data Hadoop technology will rise. There will be need of more Hadoop developers to deal with the big data challenges. IT professionals having Hadoop skills will be benefited with increased salary packages and an accelerated career growth.We have shown bel ow different profiles of Hadoop developers according to their expertise and experience in Hadoop technology.

Big data Hadoop future openings and Job titles

Hadoop Developer

A Hadoop developer must have proficiency in Java Programming Language,Database Interactive language like HQL, and scripting languages are needed to develop applications related to Hadoop technology.

Hadoop Architect-

The overall development and deployment process of Hadoop Applications is managed by Hadoop Architects.They plan and design Big Data system architecture and serves as the head of the project.

Hadoop Tester

A Hadoop tester is responsible for the testing of any Hadoop application which includes, fixing bugs and testing whether the application is effective or need some improvements.

Hadoop Administrator

The responsibility of a Hadoop Administrator is to install and monitor Hadoop clusters. It involves use of cluster monitoring tools like Ganglia,Nagio -s etc. to add and remove nodes.

Data Scientist

The role of Data Scientist is to employ big data tools and several advanced statistical techniques in order to solve business related problems.Being the most responsible job profile, the future growth of the organization mostly depend on Data Scientists

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Big data Hadoop Usecases

According to Forbes, the top five industries hiring Big Data-related skills are Professional, Scientific and Technical Services, IT, Manufacturing, Finance, Insurance and Retail. The graph below shows the distribution of job openings in the above-mentioned sectors:

A9.com - Amazon*
- We build Amazon's product search indices using the streaming API and pre-existing C++, Perl, and Python tools.
- We process millions of sessions daily for analytics, using both the Java and streaming APIs.
- Our clusters vary from 1 to 100 nodes
Accela Communications
- We use an Apache Hadoop cluster to rollup registration and view data each night.
- Our cluster has 10 1U servers, with 4 cores, 4GB ram and 3 drives
- Each night, we run 112 Hadoop jobs
- It is roughly 4X faster to export the transaction tables from each of our reporting databases, transfer the data to the cluster, perform the rollups, then import back into the databases than to perform the same rollups in the database.

- Adobe
  - We use Apache Hadoop and Apache HBase in several areas from social services to structured data storage and processing for internal use.
  - We currently have about 30 nodes running HDFS, Hadoop and HBase in clusters ranging from 5 to 14 nodes on both production and development. We plan a deployment on an 80 nodes cluster.
  - We constantly write data to Apache HBase and run MapReduce jobs to process then store it back to Apache HBase or external systems.
  - Our production cluster has been running since Oct 2008.
- adyard
  - We use Apache Flume, Apache Hadoop and PApache ig for log storage and report generation as well as ad-Targeting.
  - We currently have 12 nodes running HDFS and Pig and plan to add more from time to time.
  - 50% of our recommender system is pure Pig because of it's ease of use.
  - Some of our more deeply-integrated tasks are using the streaming API and ruby as well as the excellent Wukong-Library.
- Able Grape - Vertical search engine for trustworthy wine information
  - We have one of the world's smaller Hadoop clusters (2 nodes @ 8 CPUs/node)
  - Hadoop and Apache Nutch used to analyze and index textual information
- Adknowledge - Ad network
  - Hadoop used to build the recommender system for behavioral targeting, plus other clickstream analytics
  - We handle 500MM clickstream events per day
  - Our clusters vary from 50 to 200 nodes, mostly on EC2.
  - Investigating use of R clusters atop Hadoop for statistical analysis and modeling at scale.
- Aguja- E-Commerce Data analysis
  - We use hadoop, pig and hbase to analyze search log, product view data, and analyze all of our logs
  - 3 node cluster with 48 cores in total, 4GB RAM and 1 TB storage each.
- Alibaba
  - A 15-node cluster dedicated to processing sorts of business data dumped out of database and joining them together. These data will then be fed into iSearch, our vertical search engine.
  - Each node has 8 cores, 16G RAM and 1.4T storage.
- AOL
  - We use Apache Hadoop for variety of things ranging from ETL style processing and statistics generation to running advanced algorithms for doing behavioral analysis and targeting.
  - The cluster that we use for mainly behavioral analysis and targeting has 150 machines, Intel Xeon, dual processors, dual core, each with 16GB Ram and 800 GB hard-disk.

For more details , Click here to knew How companies are using Hadoop

Best Bigdata Hadoop Training in Bangalore BTM Marthahalli

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