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Data-intensive Applications Challenges Techniques And Technologies A Survey On Big Data Pdf

data-intensive applications challenges techniques and technologies a survey on big data pdf

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Published: 15.12.2020

Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range.

Cloud computing, rapidly emerging as a new computation paradigm, provides agile and scalable resource access in a utility-like fashion, especially for the processing of big data. The need to store, process, and analyze large amounts of data makes enterprise customers to adopt cloud computing at scale. Understanding processing of data intensive applications on cloud is key to designing next generation cloud services. Here we aimed to discuss a close-up view about Cloud Computing, Big Data and processing of big data on cloud as well as the state-of-the-art techniques and technologies we currently adopt to deal with the Big Data problems on cloud.

BigData: Processing of Data Intensive Applications on Cloud

A comparison of approaches to large-scale data analysis. Apache Hadoop Goes Realtime at Facebook. BigBench - towards an industry standard benchmark for big data analytics. Big Data computing and clouds - Trends and future directions. Big data and cloud computing - new wine or just new bottles. Big picture of big data software engineering - with example research challenges.

Big Data: Survey, Technologies, Opportunities, and Challenges

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Chen and C. Chen , C. Zhang Published Computer Science Inf. It is already true that Big Data has drawn huge attention from researchers in information sciences, policy and decision makers in governments and enterprises.

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data Published on Aug 10, in Information Sciences 5. Philip Chen 62 Estimated H-index: View Paper. Add to Collection. It is already true that Big Data has drawn huge attention from researchers in information sciences, policy and decision makers in governments and enterprises. However, there are so much potential and highly useful values hidden in the huge volume of data.

data-intensive applications challenges techniques and technologies a survey on big data pdf

Big Data: Survey, Technologies, Opportunities, and Challenges

Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields columns offer greater statistical power , while data with higher complexity more attributes or columns may lead to a higher false discovery rate. Big data was originally associated with three key concepts: volume , variety , and velocity. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value.

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Data Intensive Cloud Computing: Issues and Challenges

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4 Comments

  1. Aidee R.

    15.12.2020 at 21:59
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  2. Forstotumul

    17.12.2020 at 10:44
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    The techniques and technologies for this kind of data-intensive For example, the Large Synoptic Survey Telescope (LSST) will [1]: reddingvwclub.orgouse.​gov/sites/default/files/microsites/ostp/big-data-fact-sheet-finalpdf.

  3. Bigg D.

    19.12.2020 at 11:05
    Reply

    Request PDF | Data-intensive applications, challenges, techniques and technologies: A survey on Big Data | It is already true that Big Data has.

  4. Baal C.

    20.12.2020 at 14:41
    Reply

    Massive amounts of data are being generated in scientific, business, social network, healthcare, and government domains.

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