atul barot
asked on
what is Big data hadoop ?
what is Big data hadoop ? how it works and what software is required to run it ?
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Shaun Vermaak
You can easily spin-up a Hadoop cluster on Microsoft Azure HDInsight. I did all my practical work for 70-475 on it
provided solution.
Big Data
Day by day the big world of internet is creating 2.5 quintillion bytes of data on regular basis according to the statistics the percentage of data that has been generated from last two years is 90%. This data comes from many industries like climate information collects by the sensor, different stuff from social media sites, digital images and videos, different records of the purchase transaction. This data is big data
Gartner – Big Data is the new Oil.
IDC – Big Data market will be growing 7 times faster than the overall IT market.
IBM – Big data is not just a technology – it’s a Business Strategy for capitalizing on information resources.
IBM – Big Data is the biggest buzz word because technology makes it possible to analyze all available data.
McKinsey – There will be a shortage of 1500000 Big Data professionals by the end of 2018.
Industries today are searching new and better ways to maintain their position and be prepared for the future. According to experts, Big Data analytics provides leaders a path to capture insights and ideas to stay ahead in the tough competition.
Big Data Analytics
According to Gartner – Big data is huge-volume, fast-velocity, and different variety information assets that demand innovative platform for enhanced insights and decision making.
A Revolution, authors explain it as – Big Data is a way to solve all the unsolved problems related to data management and handling, an earlier industry was used to live with such problems. With Big data analytics, you can also unlock hidden patterns and know the 360-degree view of customers and better understand their needs.
Big Data DefinitionIn other words, big data gets generated in multi-terabyte quantities. It changes fast and comes in varieties of forms that are difficult to manage and process using RDBMS or other traditional technologies. Big Data solutions provide the tools, methodologies, and technologies that are used to capture, store, search & analyze the data in seconds to find relationships and insights for innovation and competitive gain that were previously unavailable.
80% of the data getting generated today is unstructured and cannot be handled by our traditional technologies. Earlier, an amount of data generated was not that high. We kept archiving the data as there was just need of historical analysis of data. But today data generation is in petabytes that it is not possible to archive the data again and again and retrieve it again when needed as data scientists need to play with data now and then for predictive analysis unlike historical as used to be done with traditional.
Big Data Technologies
Apache Hadoop
Apache Spark
Apache Flink
Learn more Big Data Technologies in detail
Day by day the big world of internet is creating 2.5 quintillion bytes of data on regular basis according to the statistics the percentage of data that has been generated from last two years is 90%. This data comes from many industries like climate information collects by the sensor, different stuff from social media sites, digital images and videos, different records of the purchase transaction. This data is big data
Gartner – Big Data is the new Oil.
IDC – Big Data market will be growing 7 times faster than the overall IT market.
IBM – Big data is not just a technology – it’s a Business Strategy for capitalizing on information resources.
IBM – Big Data is the biggest buzz word because technology makes it possible to analyze all available data.
McKinsey – There will be a shortage of 1500000 Big Data professionals by the end of 2018.
Industries today are searching new and better ways to maintain their position and be prepared for the future. According to experts, Big Data analytics provides leaders a path to capture insights and ideas to stay ahead in the tough competition.
Big Data Analytics
According to Gartner – Big data is huge-volume, fast-velocity, and different variety information assets that demand innovative platform for enhanced insights and decision making.
A Revolution, authors explain it as – Big Data is a way to solve all the unsolved problems related to data management and handling, an earlier industry was used to live with such problems. With Big data analytics, you can also unlock hidden patterns and know the 360-degree view of customers and better understand their needs.
Big Data DefinitionIn other words, big data gets generated in multi-terabyte quantities. It changes fast and comes in varieties of forms that are difficult to manage and process using RDBMS or other traditional technologies. Big Data solutions provide the tools, methodologies, and technologies that are used to capture, store, search & analyze the data in seconds to find relationships and insights for innovation and competitive gain that were previously unavailable.
80% of the data getting generated today is unstructured and cannot be handled by our traditional technologies. Earlier, an amount of data generated was not that high. We kept archiving the data as there was just need of historical analysis of data. But today data generation is in petabytes that it is not possible to archive the data again and again and retrieve it again when needed as data scientists need to play with data now and then for predictive analysis unlike historical as used to be done with traditional.
Big Data Technologies
Apache Hadoop
Apache Spark
Apache Flink
Learn more Big Data Technologies in detail