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Apache Solr is an open source search platform. It was created in 2004 by Yonik Seeley using the Apache Lucene library. It provides a way to easily search large amounts of data returning results in a very short time (often < 1 second).
Hadoop is a framework used for distributed processing of large data sets.
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What is solr searching?
Solr is related to searching. its a open source from apache.
What is solr in Apache?
Solr is an open source search server which uses the Lucene search library. Both are written in Java and under the Apache Software License.More information about Solr can be found at solr-1
On what concept the Hadoop framework works?
Learn Hadoop Online Training to build your big data analytics and data processing file system skills today. Become familiar with Hadoop cluster, Hadoop distributed file system, Hadoop map reduce, etc. Learn about Map Reduce, PIG, Apache Hive, HDFS, Java, Sqoop, Apache Spark, Flume, and more to become a data science expert. What is Hadoop Architecture? Hadoop architecture is computer software used to process data. Hadoop is open-source software, freely available for anyone to use, that can be scaled for use with small datasets on only a few computers to massive ones using large clusters of computers. The beauty of Hadoop is that it is designed to recognize and account for hardware failures. It adjusts processing load to available resources, reducing downtime. The Hadoop software library is developed and maintained by the The Apache Hadoop project and major companies around the world use the software for both internal and customer-facing applications. Major companies using Hadoop include Adobe, Ebay, Facebook, IBM and more. For more details please visit: Hadoop Online Training Naresh IT
Is Solr a user friendly search platform?
Of course, that depends on what is meant by "user friendly". SOLR provides an HTTP interface. This means that if you are comfortable with working with URLs and manipulating the URL parameters it is friendly. SOLR can return results in a number of standard formats (e.g., XML, JSON) so if you are comfortable with these formats it is friendly. Depending on your familiarity with setting up server software you could argue that this may be one of the "user unfriendly" areas of SOLR. Apache has done a nice job in packaging SOLR but you would still need some knowledge of server software to get it set up (server software e.g., Apache web server, Tomcat/Jetty servlet containers). They provide a nice tutorial for getting started quickly. Perhaps reading it would give you an idea of how your level of computer knowledge matches its friendliness: http://lucene.apache.org/solr/tutorial.html
What is the cousin of the flounder?
Solr
What database does Google use?
Google uses their property backend which is called as BigTable. They released the details of BigTable in their white paper. An open source implementation of the BigTable is Apache Hadoop at apache.hbase.org
What is the long form of Hadoop?
There is no long form for Hadoop. The name comes from a favorite stuffed elephant of the son of the developer Doug Cutting. To know better about hadoop, just join or visit analytixlabs
Is apache a front end web server?
Apache is The Apache Software Foundation which created the web server called The Apache HTTP Server Project this is usually shorted to just Apache though.The Apache web server is also known as HTTPD.http://httpd.apache.org/
Where we get the best big data hadoop online training?
HACHION is the best online training centre for big data hadoop training.
How hadoop works?
The Apache Hadoop project has two core components,the file store called Hadoop Distributed File System (HDFS), andthe programming framework called MapReduce.HDFS - is designed for storing very large files with streaming data access pattern, running on clusters on commodity hardware.MapReduce - is a programming model for processing large data sets with parallel, distributed algorithm on cluster.Semi-structured and unstructured data sets are the two fastest growing data types of the digital universe. Analysts of these two data types will not be possible with tradtionsal database management systems. Hadoop HDFS and MapReduce enable the analysts of these data types, giving organizations the opportunity to extract insigts from bigger datasers within a reasonable amoutn of processing time. Hadoop MapReduce parallel processing capability has increased the speed of extraction and transformation of data.
When was Martin Gisti born?
Martin Gisti was born on December 9, 1889, in Solr, Norway.
What type of questions are asked in Hadoop interview?
Most of the questions in Interviews revolve around the basics like1-Compare Hadoop and RDBMS?2-What are the features of Standalone (local) mode?3-What are the features of Pseudo mode?4-What are the features of Fully-Distributed mode?5-What are configuration files in Hadoop?
