big-data

_International Journal for Multidisciplinary Research_ 7 (1):1-17. 2025This paper presents a comprehensive review of the latest development in Generative AI and Big Data with application in Finance. 2025 is the year of Agentic AI, marking a pivotal shift in generative AI (Gen AI) and its integration with big data. This paper explores the synergies between Gen AI and big data, particularly in fina…

Journal of Computer Science, Published online: 19 July 2026; doi:10.3844/jcssp.2026.2189.2203 The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies w...

Using bibliometric analysis of more than 1,000 articles published between 2014 and 2024, a new study charts the first decade of the Journal of Big Data and its emergence as a leading global data science publication. The journal has surpassed 1,000 papers and nearly 65,000 citations. Researchers identified three core themes - big data infrastructure, machine and deep learning, and applications suc…

FAU research project investigates Chinese data practices stretching over more than two millennia, opening new perspectives on AI, big data and digital power.

Introduction: Big data is not a trendy technical term in the modern world but rather one of the main components […] The post Big Data in 2025: Transforming the Digital Landscape appeared first on Bits of Scope .

In this interview, we enjoyed sitting down with Anlytic.com to delve into their experience with our ClickHouse and ClickHouse Cloud on AWS. We discussed the challenges they faced before discovering ClickHouse, the impact it has had on their data analytics, and how it has transformed the way their team operates. Their insights offer a firsthand look at how ClickHouse's speed, scalability, and flex…

Importance of Hadoop Analytics Tools for Big Data Projects In recent years, Hadoop has become one of the most popular platforms for big data projects. Hadoop is an open-source platform that allows for the distributed processing of large data sets across a cluster of commodity servers. There are a number of different tools that can be used for Hadoop analytics. In this article, we will take a look…

Analysys A10 is a large conference on Big Data that took place on October 26-27 in Beijing. Since China's population is huge, it generates a lot of data and Big Data industry is in very high demand. ClickHouse team has been honored to participate in this event alongside top management, analysts, and IT professionals from various Chinese companies. Each year Analysys also organizes the OLAP contes…

Innovative AI/Big Data suite of corporate bond analytics focused on the Chinese market now live [...]

Many companies, large and small, are exploring the possibilities of big data in their businesses. Big data is the engine driving the new-age industry revolution 4.0. There are a few challenges that a manufacturing company has to tackle to successfully imbibe Big Data in their company. In this blog post, we will talk about the big data challenges in the manufacturing industry so that you can addre…

Minitrack Chairs: Florina Pînzaru, National University of Political Studies and Public Administration, Romania Dragos Vespan, Bucharest University of Economic Studies, Bucharest Alexandra Zbuchea, National University of Political Studies and Public Administration, Romania Digitalization in the era of IoT, cloud computing, big data and artificial intelligence changes the profile of the [...] …

On November 24, USC news featured an article titled “Big data offers a new look at Expo Line” that highlights the success of Expo Line in attracting public transportation riders towards reducing the traffic congestion. This study is conducted based on ADMS project – a big data framework for transportation systems – developed by IMSC. The post ADMS project developed by IMSC offers a new look at Ex…

In a previous post Big Data: Don't throw the baby out with the bathwater, I made the case that in many instances, we aren't concerned with issues related to causality. "If a 'big data' ap tells me that someone is spending 14 hours each week on the treadmill, that might be a useful predictor for their health status. If all I care about is identifying people based on health status I think hrs of…

Examples:  " Correlating grocery shopping patterns with incidence of obesity and diabetes Measuring response rates to cholesterol-lowering drugs by correlating pharmacy refills with exercise data from wearable sensors Correlating physical distance to hospitals and pharmacies with utilization of healthcare services Analyzing the influence of social network connections on lifestyle choices and trea…

In this age of "big data" there's a whole new language that econometricians need to learn. Its origins are somewhat diverse - the fields of statistics, data-mining, machine learning, and that nebulous area called "data science". What do you know about such things as: Decision trees Support vector machines Neural nets Deep learning Classification and regression trees Random forests Penalized regre…

From: http://siliconangle.com/blog/2012/09/07/building-big-data-farming-big-data-goes-to-the-cows/ "The major problem we keep on seeing — especially in bigger, modern farms — is that there's a lot of data being created and not being used, on how they're performing, what they're doing."

From: http://blogs.vmware.com/vfabric/2012/09/4-examples-of-big-data-trends.html "In agriculture the data patterns are changing radically. I bet you never thought about farming as a big data opportunity. Next generation farm equipment like combines and tillers are going to be able to take soil samples as they move along, perform analysis on those samples, and feed the results of the analysis back…