Manufacturing big data ecosystem: A systematic literature review

Y Cui, S Kara, KC Chan - Robotics and computer-integrated Manufacturing, 2020 - Elsevier
Advanced manufacturing is one of the core national strategies in the US (AMP), Germany
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …

A survey on data storage and placement methodologies for cloud-big data ecosystem

S Mazumdar, D Seybold, K Kritikos, Y Verginadis - Journal of Big Data, 2019 - Springer
Currently, the data to be explored and exploited by computing systems increases at an
exponential rate. The massive amount of data or so-called “Big Data” put pressure on …

Data lakes: A survey of functions and systems

R Hai, C Koutras, C Quix… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Data lakes are becoming increasingly prevalent for Big Data management and data
analytics. In contrast to traditional 'schema-on-write'approaches such as data warehouses …

IOTSim: A simulator for analysing IoT applications

X Zeng, SK Garg, P Strazdins, PP Jayaraman… - Journal of Systems …, 2017 - Elsevier
A disruptive technology that is influencing not only computing paradigm but every other
business is the rise of big data. Internet of Things (IoT) applications are considered to be a …

[PDF][PDF] Will NoSQL databases live up to their promise?

N Leavitt - Computer, 2010 - leavcom.com
Many organizations col-lect vast amounts of customer, scientific, sales, and other data for
future analysis. Traditionally, most of these organizations have stored structured data in …

The Seattle report on database research

D Abadi, A Ailamaki, D Andersen, P Bailis… - ACM Sigmod …, 2020 - dl.acm.org
Approximately every five years, a group of database researchers meet to do a self-
assessment of our community, including reflections on our impact on the industry as well as …

[КНИГА][B] Big data and social science: A practical guide to methods and tools

I Foster, R Ghani, RS Jarmin, F Kreuter, J Lane - 2016 - taylorfrancis.com
Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social
Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how …

GRAPHITE: an extensible graph traversal framework for relational database management systems

M Paradies, W Lehner, C Bornhövd - Proceedings of the 27th …, 2015 - dl.acm.org
Graph traversals are a basic but fundamental ingredient for a variety of graph algorithms and
graph-oriented queries. To achieve the best possible query performance, they need to be …

Big data management challenges in health research—a literature review

X Wang, C Williams, ZH Liu… - Briefings in …, 2019 - academic.oup.com
Big data management for information centralization (ie making data of interest findable) and
integration (ie making related data connectable) in health research is a defining challenge in …

Exploring perceptions of data analytics in the internal audit function

F Tang, CS Norman, VP Vendrzyk - Behaviour & information …, 2017 - Taylor & Francis
The objective of our study is to understand the use of data analytics within the internal audit
function (IAF) and to investigate the types of tools internal auditors use, given the large …