Big Data Technologies Front Matter Pages 1-1 Download chapterPDF Introduction to Big Data Borko Furht, Flavio Villanustre Pages 3-11 Big Data Analytics Chun-Wei Tsai, Chin-Feng Lai, Han-Chieh Chao, Athanasios V. Vasilakos Pages 13-52 ...
As big data technologies deal with extensive volumes of data—structured, semi-structured, unstructured, and with different levels of complexities—it is essential to simplify this information and make it usable. Visual data formats like graphs, charts, anddashboardsare more engaging and easier to ...
Download PDF Discover how open source technologies like Kafka, Cassandra, and OpenSearch enhance data infrastructure with customization, scalability, and increased ROI in this E-Book. Avoid vendor lock-in and drive growth. Download now! Data privacy compliance and Third-Party Management: A unified...
Furthermore, we systematically investigate big data tools and technologies (Hadoop 3.0, Spark 2.3) including distributed/cloud-based stream processing tools in a comparative approach. Moreover, we discuss functionalities of several SQL Query tools on Hadoop based on 10 parameters. Finally, We present...
The journal will accept papers on foundational aspects in dealing withbig data, as well as papers on specificPlatformsand Technologies used to deal withbig data. To promoteData Scienceand interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demon...
Hence, users may submit analytical queries on fresh data based on high-level subject-oriented entities without worrying about data location and partitioning, or the technologies used in each data source. In this work, we define the main concepts related to the multi-layered logical integration ...
The term ‘big data’ stands for this mass of data, also referred to appropriately as mass data. It describes volumes of data that are too large, too complex, too short-lived and also too unstructured to be processed with a regular computer. ...
Available online at https://www.mckinsey.com/~/media/McKinsey/Industries/Semiconductors/Our%20Insights/Smartening%20up%20with%20artificial%20intelligence/Smartening-up-with-artificial-intelligence.pdf, checked on 5/31/2021. Google Scholar McKinsey Global Institute (2013): Disruptive technologies: ...
and Internet of Things. Providing security and privacy for big data storage, transmission, and processing have been attracting much attention in all big data related areas. IEEE Bigdatasecurity 2025 addresses this domain and aims to gather recent academic achievements in this field. Security and rob...
. The sheer size and complexity of big data environments often require substantial investments in scalable solutions, posing financial challenges for businesses. Addressing scalability issues is paramount to ensuring that big data technologies can seamlessly accommodate the growing influx of data....