hadooptutorial.info Report : Visit Site

Technical data of the hadooptutorial.info

Geo IP provides you such as latitude, longitude and ISP (Internet Service Provider) etc. informations. Our GeoIP service found where is host hadooptutorial.info. Currently, hosted in United States and its service provider is Amazon Technologies Inc. .

HTTP Header Analysis

HTTP Header information is a part of HTTP protocol that a user's browser sends to called nginx/1.14.0 containing the details of what the browser wants and will accept back from the web server.

DNS

HtmlToText

home big data hadoop hadoop hdfs design concepts map reduce hive hive hive commands & functions hive installation hive integration with bi tools hive use cases pig hbase flume interview questions interview questions hadoop interview questions hbase interview questions hive interview questions java interview questions mapreduce interview questions pig interview questions sql interview questions sqoop interview questions miscellaneous miscellaneous avro eclipse error repository hadoop testing java scala mysql r snappy othertools othertools sqoop oozie tez kafka unix tableau azkaban ssh solr hadoop discussion forum hadoop opportunities don’t just happen you need to create it. read more » scala open the world with scala object oriented language. read more » spark full insight of the spark and crystal details of its usage. read more » what is hadoop ? hadoop is an open source frame work used for storing & processing large-scale data (huge data sets generally in gbs or tbs or pbs of size) which can be either structured or unstructured format. this vast amount of data is called big data which usually can’t be processed/handled by legacy data storage mechanisms. hadoop is written in java by apache software foundation. hadoop can easily handle multi tera bytes of data reliably and in fault-tolerant manner. hadoop parallelizes the processing of the data on 1000s of computers or nodes in clusters. this frame work uses normal commodity hardware for storing distributed data across various nodes on the cluster. this site provides detailed walk through of the hadoop framework along with all the sub components under hadoop frame work. hadoop eco system core components: hadoop common : common utilities supporting hadoop components hdfs : hadoop distributed file system yarn : frame work for job scheduling and resource management. map reduce : parallel processing mechanism for distributed data the sub components are: hbase : column oriented database for processing billions of records hive : data warehouse for distributed file system hdfs pig : high level programming language for distributed computations sqoop : data migration tool from/to rdbmss to/from hdfs, hbase, hive flume : data collection mechanism for log & event data oozie : work flow management service. zookeeper : configuration management & coordination service. avro : serialization framework tez : successor for mapreduce framework hcatalog : common interface for hive, pig, hbase . azkaban : workflow management tool. alternative to oozie. refer corresponding categories on this blog for further details on each sub component of hadoop eco system. why hadoop ? : now a day the electronic data is getting increased rapidly day by day in terms of tera bytes (1000 gb = 1 tb) or peta bytes (1000 tb = 1 pb) all over world. this data is majorly stored on databases, distributed across the globe. the rate of data increase is getting accelerated . some of the data might be structural and some might be unstructured data like flat data sets. some of the examples of huge data generations sources are like social networking sites, blogs, databases and many other kinds of web sites. this data is being used by various organizations/industries for analyzing and foreseeing trends of business in near future based on the analysis of current data statistics. but extraction & analysis of vast amount of structured data or unstructured data requires lot of computational power which is beyond the scope of legacy databases or processing techniques. this massive explosion of data over the years leads many organizations to replace the data servers with high processing servers which couldn’t solve the problem beyond a certain point of growth in data. that’s where the hadoop evolution started based on scale-out approach for storing big data on large clusters of commodity hardware. since hadoop is designed to use commodity hardware through scale-out approach instead of using the larger servers in scale-up approach, data storage and maintenance became very cheap and cost effective when compared to other storage mechanisms . for processing this big data, distributed across various clusters of commodity hardware, map reduce technique is introduced to parallelize the process of data extractions & processing of structured/unstructured data from many nodes/hard drives in the clusters. hadoop was created by doug cutting, who is the creator of apache lucene, a text search library. hadoop was written in java and has its origins from apache nutch, an open source web search engine. as apache software foundation developed hadoop, it is often called as apache hadoop and it is a open source frame work and available for free downloads from apache hadoop distributions. now, start reading from hadoop blog to start learning hadoop from scratch. you can watch below video for basic bigdata introduction. what experts say ? [testimonials_cycle show_thumbs='1' pager='1' easy_testimonial_title='1' itemprop="name"] -- share this: tweet . review comments i have attended siva’s spark and scala training. he is good in presentation skills and explaining technical concepts easily to everyone in the group. he is having excellent real time experience and provided enough use cases to understand each concepts. duration of the course and time management is awesome. happy that i found a right person on time to learn spark. thanks siva!!! dharmeswaran etl / hadoop developer spark nov 2016 september 21, 2017 i really like your explanations. sylvain nzeyang hadoop developer december/2016 november 23, 2016 siva , your teaching's are great and indeed very useful for the people who are interested in hadoop. your sessions are more close to real-time and helps every one to get clear in interviews. thanks for your support. kalpana bhemireddy hadoop developer spark jul/2016 september 26, 2016 course content is well structured. i like siva's explanation of topics using slide decks & virtual machine (cdh cluster) at the same time,this will help audience to learn not only theory behind a topic but also practical aspect of it. overall, i would recommend this course. kumar big data developer hadoop&aug/2016 september 26, 2016 course content is well structured. i like siva's explanation of topics using slide decks & virtual machine (cdh cluster) at the same time,this will help audience to learn not only theory behind a topic but also practical aspect of it. overall, i would recommend this course. kumar big data developer hadoop&aug/2016 september 26, 2016 one of the best trainer is siva kumar, his way of communication and explantion superb,he teaches excellent as theratical and practically also,i suggest he is the excellent trainer for spark and scala. purushotham sr.software engineer spark august/2016 september 15, 2016 here is 2 cents 1. got more exercises and provide feedback. (also a final project) 2. support (may be you need a part time person) lexman architect hadoop/spark september 13, 2016      siva will give excellent training for hadoop,spark. he has 4 years real time experience. his teaching is will go close to real time. sriniwaas hadoop consultant june 2016 september 13, 2016      excellent training, classes were so interactive,i never got bored,siva has immense knowledge in all the hadoop tools.he explained everything so near to real-time . you can never find hadoop course so pure in the market. akhila hadoop developer hadoop/spark september 13, 2016      siva did an excellent job in explaining each topic patiently, gave many real-time examples and he was really patient enough in answering each of our doubts,responds well in time when needed. he has immense knowledge in all the hadoop/spark eco-system tools. never felt bored in his classes he makes the classes so interactive he has an excellent blog..got addicted to it. akhila hadoop developer hadoop/spark september 13, 2016      spark and hadoop course content is really

URL analysis for hadooptutorial.info

http://hadooptutorial.info/category/interview-questions/hadoop-interview-questions-for-experienced-and-freshers/
http://hadooptutorial.info/enable-compression-in-hive/
http://hadooptutorial.info/hive-connectivity-with-hunk-splunk/
http://hadooptutorial.info/most-popular-hadoop-distributions/
http://hadooptutorial.info/run-example-mapreduce-program/
http://hadooptutorial.info/secondary-namenode-in-hadoop/
http://hadooptutorial.info/processing-logs-in-pig/
http://hadooptutorial.info/bucketing-in-hive/
https://twitter.com/share?url=http%3a%2f%2fhadooptutorial.info%2f
http://hadooptutorial.info/mapreduce-multiple-outputs-use-case/
https://plus.google.com/share?url=http%3a%2f%2fhadooptutorial.info%2f
http://hadooptutorial.info/log-analysis-hadoop/
http://hadooptutorial.info/hbase-daemons-pseudo-distribution-mode/
http://hadooptutorial.info/category/hive-use-cases/
http://hadooptutorial.info/dfsadmin-hdfs-administration/

Whois Information

Whois is a protocol that is access to registering information. You can reach when the website was registered, when it will be expire, what is contact details of the site with the following informations. In a nutshell, it includes these informations;

Domain Name: HADOOPTUTORIAL.INFO
Registry Domain ID: D52206061-LRMS
Registrar WHOIS Server:
Registrar URL: http://www.domain.com
Updated Date: 2017-03-03T17:54:06Z
Creation Date: 2014-03-31T11:23:13Z
Registry Expiry Date: 2019-03-31T11:23:13Z
Registrar Registration Expiration Date:
Registrar: Domain.com,LLC
Registrar IANA ID: 886
Registrar Abuse Contact Email:
Registrar Abuse Contact Phone:
Reseller:
Domain Status: ok https://icann.org/epp#ok
Registrant Organization: SIVA KUMAR BHUCHIPALLI
Registrant State/Province: NA
Registrant Country: IN
Name Server: NS-1925.AWSDNS-48.CO.UK
Name Server: NS-1359.AWSDNS-41.ORG
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form is https://www.icann.org/wicf/
>>> Last update of WHOIS database: 2018-09-09T06:49:59Z <<<

For more information on Whois status codes, please visit https://icann.org/epp

Access to AFILIAS WHOIS information is provided to assist persons in determining the contents of a domain name registration record in the Afilias registry database. The data in this record is provided by Afilias Limited for informational purposes only, and Afilias does not guarantee its accuracy. This service is intended only for query-based access. You agree that you will use this data only for lawful purposes and that, under no circumstances will you use this data to(a) allow, enable, or otherwise support the transmission by e-mail, telephone, or facsimile of mass unsolicited, commercial advertising or solicitations to entities other than the data recipient's own existing customers; or (b) enable high volume, automated, electronic processes that send queries or data to the systems of Registry Operator, a Registrar, or Afilias except as reasonably necessary to register domain names or modify existing registrations. All rights reserved. Afilias reserves the right to modify these terms at any time. By submitting this query, you agree to abide by this policy.

The Registrar of Record identified in this output may have an RDDS service that can be queried for additional information on how to contact the Registrant, Admin, or Tech contact of the queried domain name.

  REFERRER http://whois.afilias.info

  REGISTRAR Afilias Global Registry Services

SERVERS

  SERVER info.whois-servers.net

  ARGS hadooptutorial.info

  PORT 43

  TYPE domain

DOMAIN

  NAME hadooptutorial.info

  HANDLE D52206061-LRMS

  CREATED 2014-03-31

STATUS
ok https://icann.org/epp#ok

NSERVER

  NS-1925.AWSDNS-48.CO.UK 205.251.199.133

  NS-1359.AWSDNS-41.ORG 205.251.197.79

OWNER

  ORGANIZATION SIVA KUMAR BHUCHIPALLI

ADDRESS

  STATE NA

  COUNTRY IN

  REGISTERED yes

Mistakes

The following list shows you to spelling mistakes possible of the internet users for the website searched .