MapReduce
MapReduce is a processing technique to process large datasets with the parallel distributed algorithm on the cluster. MapReduce jobs are of two types. “Map” function is used to divide the query into multiple parts and then process the data at the node level. “Reduce’ function collects the result of “Map” function and then find the answer to the query. MapReduce is used to handle big data when coupled with HDFS. This coupling of HDFS and MapReduce is referred to as Hadoop.Whizlabs
Explore Data & Analytics Statistics
- 79 percent of enterprise executives say that not embracing big data will cause companies to lose competitive position and risk extinction.
- 90 percent of the world’s data was created between 2015 and 2016 alone.
- In 2025, the IoT data analyzed and used to change business processes will be as much as all of the data created in 2020.
- 95 percent of businesses need to manage unstructured data.
- Analytics leaders are nearly twice as likely as others to report enacting a long-term strategy to respond to changes in core business practices.
- 53 percent of CEOs consider themselves the primary leader of their company’s analytics agenda.
- 70 percent of investment professionals use “alternative data” or plan to do so in the next year.
- 29 percent of investment professionals use search trends to derive data.
- The big data software market was worth $31 billion in 2018, growing 14 percent from the year before.
- 90% of enterprise analytics and business professionals currently say data and analytics are key to their organization’s digital transformation initiatives.
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