2014 Portfolio Unstructured Data 
ProjectPro
SEPTEMBER 9, 2021
Hive , for instance, does not support sub-queries and unstructured data. Data update and deletion operations are also not possible with Hive. The tool also has acceptable latency for interactive data browsing, and it causes adverse implications on the overall performance.
ProjectPro
AUGUST 26, 2015
1997 -The term “BIG DATA” was used for the first time- A paper on Visualization published by David Ellsworth and Michael Cox of NASA’s Ames Research Centre mentioned about the challenges in working with large unstructured data sets with the existing computing systems. Truskowski. 10 21 i.e. 4.4
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ProjectPro
SEPTEMBER 1, 2016
Hadoop market is a tough three-horse race between MapR, Cloudera and Hortonworks.Cloudera has raised $1 billion till date and Hortonworks made it to the strong public listing debut in 2014. Altiscale provides managed data processing services. Source: [link] ) MapR and Hortonworks announce Hadoop’s position in commercial market.
ProjectPro
JULY 13, 2015
Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data. JP Morgan has massive amounts of data on what its customers spend and earn. Hadoop allows us to store data that we never stored before.
ProjectPro
MARCH 19, 2015
RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT
ProjectPro
APRIL 17, 2015
Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects Deep Learning is a machine learning technique based on artificial neural networks. Deep learning involves ingesting big data to neural networks to receive predictions in response. during 2014 - 2020.
ProjectPro
JUNE 9, 2015
Big Data Hadoop skills are most sought after as there is no open source framework that can deal with petabytes of data generated by organizations the way hadoop does. 2014 was the year people realized the capability of transforming big data to valuable information and the power of Hadoop in impeding it.
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