Journal of Advanced Database Management & Systems
Volume 7, Issue 3 (2020)
Published
Table of contents
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The Review on Big Data Sharding and Replication
Abstract: AbstractSharding is a partitioning pattern that places each partition in potentially separate servers; potentially all over the world. A shard is managed by a single server. Data replication is the process of storing data in more than one site or node. It is useful in improving the availability of data. It is simply copying data from a database from one server to another server so that all the users can …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 3, 2020 · pp. 1–10 Read article
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Business Intelligence and Its Challenges
Abstract: AbstractBig 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. Huge amount of data produced in business can be processed to get useful information using Business intelligence (BI). Business intelligence comprises the strategies and technologies used by enterprises for the data analysis of business information. …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 3, 2020 · pp. 11–17 Read article
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Hadoop Yarn Big Data: Review Paper
Abstract: AbstractYARN, yet another resource negotiator is a large-scale, distributed operating system for big data applications and software rewrite that is capable of decoupling MapReduce's resource management and scheduling capabilities from the data processing component. In this study we have briefly described the evolution of YARN for big data analysis from the year 2017 to the recent times. Keywords: Apache HADOOP, HDFS, MapReduce, Apache Samza, Apache Flink
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 3, 2020 · pp. 18–26 Read article
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A Survey Paper on Big Data and Industry
Abstract: AbstractRecent advances in new generation information technologies, cutting-edge digital technologies are being harnessed to optimize and automate production, including upstream supply-chain processes. The ultimate goal of industry is that always-connected sensors embedded in machines, components, and works-in-progress will transmit real-time data to networked IT systems. These, in turn, apply machine learning and artificial intelligence algorithms to analyse and gain insights from this big data and adjust processes automatically as needed. …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 3, 2020 · pp. 27–33 Read article
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A Review of Techniques for Securing Big Data Integrated with Cloud
Abstract: AbstractIn the era of big data and cloud computing, which are the most sophisticated technologies individually with enormous potential; these technologies when integrated can extend themselves seamlessly to solve complicated problems of day-today life. We generate enormous amount of precious data every second related to personal, business to professional field through our digital lives. Big data perfectly fits in this scenario to help us to store, process and manage this …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 3, 2020 · pp. 34–40 Read article