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Hadoop VS Spark: Which is the best Data Analytics engine?

@machinelearnbot

In the book Hadoop: The definitive guide, Tom white quotes Grace Hopper, "In pioneer days they used oxen for heavy pulling, and when one ox couldn't budge a log, they didn't try to grow a larger ox. We shouldn't be trying for bigger computers, but for more systems of computers." For long Hadoop has been the data analytics system preferred by businesses all over. The recent entry of the spark engine has however given businesses an option other than Hadoop for data analytics purposes. A lot of discussion among experts in the field of big data analytics is over which of the two data analytics engines, the Hadoop or the Spark, is the better performer when it comes to applications in business.


Hadoop VS Spark: Which is the best Data Analytics engine?

@machinelearnbot

In the book Hadoop: The definitive guide, Tom white quotes Grace Hopper, "In pioneer days they used oxen for heavy pulling, and when one ox couldn't budge a log, they didn't try to grow a larger ox. We shouldn't be trying for bigger computers, but for more systems of computers." For long Hadoop has been the data analytics system preferred by businesses all over. The recent entry of the spark engine has however given businesses an option other than Hadoop for data analytics purposes. A lot of discussion among experts in the field of big data analytics is over which of the two data analytics engines, the Hadoop or the Spark, is the better performer when it comes to applications in business.


HDFS vs. HBase : All you need to know

@machinelearnbot

The sudden increase in the volume of data from the order of gigabytes to zettabytes has created the need for a more organized file system for storage and processing of data. The demand stemming from the data market has brought Hadoop in the limelight making it one of biggest players in the industry. Hadoop Distributed File System (HDFS), the commonly known file system of Hadoop and Hbase (Hadoop's database) are the most topical and advanced data storage and management systems available in the market. HDFS is fault-tolerant by design and supports rapid data transfer between nodes even during system failures. HBase is a non-relational and open source Not-Only-SQL database that runs on top of Hadoop.


Is Spark better than Hadoop Map Reduce? 7wData

@machinelearnbot

For anyone who gets into the Big Data world, the terms Big Data and Hadoop become synonyms. As they learn the ecosystem along with the tools and their workings, people become more aware about what big data actually means, and what role Hadoop has in the big data ecosystem. According to Wikipedia, "Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate". To put it in simple terms, as the size of data increases the usual processing methods takes too longer or proves to be too costly. Hadoop was created in,2005, by Doug Cutting, who was inspired by Google's white papers on GFS and MapReduce.


Top 10 Trends in Big Data -Big Data Analytics News

#artificialintelligence

Big data is no longer just a buzzword. Researchers at Forrester have "found that, in 2016, almost 40 percent of firms are implementing and expanding big data technology adoption. Another 30 percent are planning to adopt big data in the next 12 months." Similarly, the Big Data Executive Survey 2016 from NewVantage Partners found that 62.5 percent of firms now have at least one big data project in production, and only 5.4 percent of organizations have no big data initiatives planned or underway. Researchers say the adoption of big data technologies is unlikely to slow anytime soon.