[PDF] Top 20 A Study on New Challenges of Big Data and Apache Spark
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A Study on New Challenges of Big Data and Apache Spark
... of Apache Spark and its remaining as exceptionally productive programming relating to the present situation of Enormous ...2014, Data bricks appreciated the Sort Benchmark and set a different ... See full document
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Evolutionary Optimization Using Big Data from Engineering Simulations and Apache Spark
... of Apache Spark and the machine learning library MLlib for evolutionary optimization of an industrial system ...addsimulation data to assist the ...utilizing data and machine learning driven ... See full document
14
Intrusion detection model using machine learning algorithm on Big Data environment
... However, new types of attack cannot be detected as its signature is not presented; the databases are frequently updated in order to increase their effectiveness of detections ...with Big Data, the ... See full document
12
Concept and benchmark results for Big Data energy forecasting based on Apache Spark
... of Big Data can improve forecasting results if its underlying patterns can be analyzed ...of data- driven forecasting models with Big Data proves to be challenging, since most ... See full document
11
Apache Spark based Big Data Analytics for Social Network Cybercrime Forensics
... within big data. With this ever-increasing volume of data, forensic analyst faces challenges in investigations involving huge data volumes while at the same time limited by computer ... See full document
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A comparison on scalability for batch big data processing on Apache Spark and Apache Flink
... comparative study for batch data processing of the scal- ability of two popular frameworks for processing and storing Big Data, Apache Spark and Apache ...platforms. ... See full document
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Efficient Big Data Analysis using Fuzzy Based Clustering Law with Apache Spark Proposals
... Evolving Big Data" such as as new information and upgrades are continually arriving, the aftereffects of information mining applications get to be distinctly stale and out of date over the long ... See full document
7
Comparative Study of Apache Hadoop vs Spark
... As Spark streaming is built on Spark with RDD abstraction and a feature to have write ahead logs(journal) exhibits a potential recovery ...uses Spark for personalizing news pages for web visitors and ... See full document
5
Efficient spatial data management by Apache Spark
... of data sets from past years. We focus the rapid improvements of new technologies especially in big data tools both for cost- effective and efficiently processing and storing the enormous ... See full document
7
Assessing Apache Spark Streaming with Scientific Data
... the data stored in ...This new parallel programming model demonstrated the ability to write small programs (map and reduce classes) for processing big ...the data and thus nullifying the ... See full document
50
A Detail Study on Big Data Analytics Using Hadoop Technologies
... Big data is a term that describes the large volume of ...contains data in the form of both structured and un-structured ...These data sets are very large and complex so that it becomes ... See full document
8
The Deep Learning and Apache Spark Enabled Architecture for Improving the Performance of Big Data Classification
... Huge Data is clear, empowering associations to pick up bits of knowledge from new wellsprings of information that were ever mined in ..."Enormous Data" and "Manage Data", which ... See full document
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A first attempt on global evolutionary undersampling for imbalanced big data
... and data mining tech- niques to the new big data ...the data into smaller subsets in which the original algorithm is ...the data as a whole (and not as a combination of smaller ... See full document
7
Liver Disorderprognosis with Apache Spark Random Forest and Gradient Booster Algorithms
... massive data which cannot be processed by conventional systems ...of data are the challenges of big ...of big data are prediction analysis and behavior ...more data on ... See full document
6
A review: Big data in healthcare challenges and application
... information. New effective calculations are required to finish this ...recent study from the American Hospital ...grow new care arrangements and systems to achieve patients before crises happen, in ... See full document
6
Business Intelligence & Predictive Analytics In Big Data For Big Insights
... cyclic data flow. Each Spark job creates a DAG of task stages to be performed on the ...by Spark can contain any number of stages, as compared to MapReduce, which creates a DAG with two stages - Map ... See full document
5
[10]SPARK-2
... Apache Spark is the work of hun- dreds of open source contributors who are credited in the release notes at ...on Spark was sup- ported in part by National Science Foundation CISE Expeditions Award ... See full document
10
Streaming Data Analysis using Apache Cassandra and Zeppelin
... streamed data is to know how many likes, shares and tweets ...streamed data. Streaming data is basically a continuous group of data records generated from different ...streaming data ... See full document
8
Survey of Apache Big Data Stack
... Cassandra data model is borrowed from the Google Big Table design. The data model is a partitioned row store with configurable ...the data is through the CQL language and there is Thrift based ... See full document
17
A Survey on Collaborating Blockchain and Big Data Exchange
... A distributed ledger helps to eliminate the necessity of a central third party by maintaining a decentralized pattern across different locations and people. It is basically a ledger of any activity like transaction or ... See full document
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