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For what purpose Bigdata is used?. I am dotnet trainer . Is is useful for me with microsoft technology to learn it?

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Big Data Hadoop Training Java

Hadoop Online Training in Depth, Writable and WritableComparable Level of coding. Technologies: Core Java, Hadoop, HDFS, Map Reduce, Advance HDFS, Advance MapReduce, Hive, Pig, Advanced Programming Pig, Sqoop, HBase, Flume, Oozie, Zookeeper, Kafka, Falcon, Log4J, MRUnit, POC's, Hadoop Installation...
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Hadoop Online Training in Depth, Writable and WritableComparable Level of coding. Technologies: Core Java, Hadoop, HDFS, Map Reduce, Advance HDFS, Advance MapReduce, Hive, Pig, Advanced Programming Pig, Sqoop, HBase, Flume, Oozie, Zookeeper, Kafka, Falcon, Log4J, MRUnit, POC's, Hadoop Installation in Linux, All other Ecosystem Installation in Linux. Cloudera and Hortonworks. Advanced F/W: Scala, SPARK, Storm, Mahout, R, Matlab Note: This online Training is not like other online training(like entire training on PPT), there will be no PPT's only technical coding in depth and I can say its more technical, I have successfully completed 42 batches online from last 16 months on Hadoop. Successfully completed 8 bactches on Scala, Spark. Prerequisites: Basic Knowledge on Core Java. (If don't know then we have a separate classes for Java) Basic Knowledge on SQL. Look into the course content and compare with others you will see the quality. I can only say one statement "Lets Hadoop.......!" read less
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Jigsaw Academy provides groundbreaking online analytics courses that can change the course of your career.

Hi Sarita Big data is more a term used in reference to processing of huge volumes of data especially unstructured data like text, audio, video etc. Over the last 20 years, SQL databases are more of a universal standard when it comes to data management practices by many firms. With big data, these databases...
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Hi Sarita Big data is more a term used in reference to processing of huge volumes of data especially unstructured data like text, audio, video etc. Over the last 20 years, SQL databases are more of a universal standard when it comes to data management practices by many firms. With big data, these databases are not sufficient either to deal with size or variety of data. There comes the new technologies like Hadoop which is widely used now to manage, process and analyze big data effectively. Considering the dotnet background, learning about big data processing would help say if you want to use that expertise in order to implement big data projects or even more in terms of upgrading your skills. Apache Hadoop is the original release whereas there are lot of Hadoop distributions out there developed by Cloudera, HortonWorks, MapR and even Microsoft. Microsoft's distribution goes with the name HDInsight and by default, Java is the core language to implement MapReduce programs in Hadoop environment. However even dotnet can be used to run these MapReduce programs with the help of Hadoop Streaming component which basically implements MapReduce implementations using any of the standard programming languages like python, c++, c# etc. Hope this helps Team Jigsaw read less
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Coaching

Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn't refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of dat...
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Big data analytics is the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. With big data analytics, data scientists and others can analyze huge volumes of data that conventional analytics and business...
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Big data analytics is the process of examining big data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. With big data analytics, data scientists and others can analyze huge volumes of data that conventional analytics and business intelligence solutions can't touch. Consider this; it's possible that your organization could accumulate (if it hasn't already) billions of rows of data with hundreds of millions of data combinations in multiple data stores and abundant formats. High-performance analytics is necessary to process that much data in order to figure out what's important and what isn't. Enter big data analytics. read less
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IT tutor

In order to Harness the large (TB) and un-structureed data, big data tecnlogys are used. Most of the BD tools are open source and not related to MS technology.
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Trainer

Dear Sarita, That was a great question, yes you are eligible for this, to get more clarification we are conducting free webinar on this tomorrow at 7:30 P.M (Saturday), please share your mobile n mail id, we will share the webinar details and we will help you to join the webinar
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This Advanced technology its used for Volumes Data Analysis any body can do take this course who loves DATA for them its suitable Course for knowing about Data Science.
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Online Training Academy

Big data is a technology that is used to store the data and retrieve the data
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Big Data Hadoop Training Java

Microsoft also launched a BigData Framework which is known as MS. Azure
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Big Data Hadoop Training Java

Hadoop Online Training in Depth, Writable and WritableComparable Level of coding. Technologies: Core Java, Hadoop, HDFS, Map Reduce, Advance HDFS, Advance MapReduce, Hive, Pig, Advanced Programming Pig, Sqoop, HBase, Flume, Oozie, Zookeeper, Kafka, Falcon, Log4J, MRUnit, POC's, Hadoop Installation...
read more
Hadoop Online Training in Depth, Writable and WritableComparable Level of coding. Technologies: Core Java, Hadoop, HDFS, Map Reduce, Advance HDFS, Advance MapReduce, Hive, Pig, Advanced Programming Pig, Sqoop, HBase, Flume, Oozie, Zookeeper, Kafka, Falcon, Log4J, MRUnit, POC's, Hadoop Installation in Linux, All other Ecosystem Installation in Linux. Cloudera and Hortonworks. Advanced F/W: Scala, SPARK, Storm, Mahout, R, Matlab Note: This online Training is not like other online training(like entire training on PPT), there will be no PPT's only technical coding in depth and I can say its more technical, I have successfully completed 42 batches online from last 16 months on Hadoop. Successfully completed 8 bactches on Scala, Spark. Prerequisites: Basic Knowledge on Core Java. (If don't know then we have a separate classes for Java) Basic Knowledge on SQL. Look into the course content and compare with others you will see the quality. I can only say one statement "Lets Hadoop.......!" read less
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