Hadoop Training | Best Big data Hadoop Online training - GOT

1. HADOOP Training Global Online Trainings info@globalonlinetrainings.com https://www.globalonlinetrainings.com/hadoop-training India: +91 406677 1418 USA: +1 909 233 6006

2. Introduction to Hadoop Training: • Hadoop Training stores huge number of data sets and procedure that data. Hadoop testing is free and it is java based encoding outline. It is very useful for storing the huge quantity of data and mainly designed for the processing purpose and Hadoop Training will take a large number of dataset in single input like all at once, process that data, and write a large output. • Hadoop Training is a distributed file system. It can be run on your system. Global Online trainings gives the best training on this Hadoop Training with the experts trainers. • HADOOP TRAINING COURSE CONTENT: • Overview of Hadoop Training:

3. Overview of Hadoop Training • Now a day’s huge amount of data storing becoming so difficulty because data quantity increasing but that much storage are not available firstly there is an the big data for storing the large quantity data but it will store some data because it also have some disadvantages about this storage so the developers has introduced the Big data because it has peta byte that much data can be stored in this. We also provide the class room training of ITIL at client permission in noida, Bangalore, Gurgaon, Hyderabad ,Mumbai, Delhi and Pune. The main cause for the hadoop Training using for example internet wants huge amount of data storing from each and every website should be in the peta byte that large amount of data will come in a particular way in that situation data storing in database will occur so much space, so we will take HADOOP Training for storing the large amount of data. We also give Hadoop training material and it is prepared by professionals. •

4. Why hadoop Training is important: • Generating the large the data with that the process speed will not increase in that sense Hadoop Training has discovered. If we have huge data and the process speed should also be equal to that in this hadoop Training is the best solution for the big data. We must have proper storage in our local file system so better to store the data in the local file system and we can process the huge data. Hadoop Traning knows very well how to store the huge data and also how to process huge data in less time. Big data Hadoop Online training certification also given. • • •

5. History of Hadoop Training • Take the example Google is web search engine in this web world that means it will store the huge data. In 1990 google has came with the more data so in that time they faced very serious problem that how to store that huge data and also processing that data. For best result for that problem they have taken 13 years in 2003 they have given conclusion to store the data as GFS ( goggle file system) it’s a technic to store the data. In 2004 they have given another technique is MR (map reduce) MR is introduced as best processing technique. But the problem with this technique is google has given some description of this techniques in white paper they have given only some idea. They have not implemented that. After Yahoo it is also web search engine after the google , yahoo also store more data they also have problem how to store the data, where to store the data and process that data. • • •

6. Hadoop Training Architecture • Hadoop training has some core component in that HDFS is main where the HDFS is the distributed file system. For example if there is numbers of systems are there so the we need together their network and then form a cluster. This some what is simple but typical hadoop cluster is network and the one column of the computer in the group of computers are one rack. Rack is very important because some of the concepts are associated with the rack. Rack is one of kind of the box they will fix number of computers in one rack and the each given individual power supply and also dedicated network switch. If there is any problem with the power supply with the rack all the computers within the rack can go out of the network. All the switches of the rack connected to the course everything will be on the network, so we call it as the hadoop cluster. HDFS is designed with the master/slave architecture in the architecture there will be one master and all other will be slaves, Hadoop mater will be called as the name node. Slaves are called data node. Name node means it will manage and stores all the names, names of the directory and the names of files. Data nodes will store and manage all the data of the file. • • • • •

7. Hadoop training Ecosystem • Map reduce (MR) it is mainly in the processing the data and getting some valuable results MR is the actual processing engine. Hadoop is not the creator of the data , data is created in some other system and it is store in the hadoop. Sqoop has the import and the export utility which helps in this. Data which are from the hadoop may not be relational data or structured data, to get the unstructured data from hadoop we have mechanism called s flume. When you visit the website all the clicks on your actions on the website that are recorded called it is as click stream into the log files Apache Flumes are very helpful to get those logs from those log file into the hadoop and it is kind of HDFS, Pig is created by the yahoo , main purpose of theHadoop HIVE is to provide the high level API which can be written in some words like filter, sort like that, it will help to run the MR jobs. • • • •

8. Thank You