[HTML][HTML] An overview of data warehouse and data lake in modern enterprise data management

A Nambiar, D Mundra - Big data and cognitive computing, 2022 - mdpi.com
Data is the lifeblood of any organization. In today's world, organizations recognize the vital
role of data in modern business intelligence systems for making meaningful decisions and …

Data lake management: challenges and opportunities

F Nargesian, E Zhu, RJ Miller, KQ Pu… - Proceedings of the VLDB …, 2019 - dl.acm.org
The ubiquity of data lakes has created fascinating new challenges for data management
research. In this tutorial, we review the state-of-the-art in data management for data lakes …

Cloud-native applications

D Gannon, R Barga, N Sundaresan - IEEE Cloud Computing, 2017 - ieeexplore.ieee.org
Cloud-native is a term that is invoked often but seldom defined beyond saying “we built it in
the cloud” as opposed to “on-prem”. However, there is now an emerging consensus around …

Data market platforms: Trading data assets to solve data problems

RC Fernandez, P Subramaniam… - arXiv preprint arXiv …, 2020 - arxiv.org
Data only generates value for a few organizations with expertise and resources to make
data shareable, discoverable, and easy to integrate. Sharing data that is easy to discover …

Towards an infrastructure enabling the internet of production

J Pennekamp, R Glebke, M Henze… - … on industrial cyber …, 2019 - ieeexplore.ieee.org
New levels of cross-domain collaboration between manufacturing companies throughout the
supply chain are anticipated to bring benefits to both suppliers and consumers of products …

End-to-end optimization of machine learning prediction queries

K Park, K Saur, D Banda, R Sen, M Interlandi… - Proceedings of the …, 2022 - dl.acm.org
Prediction queries are widely used across industries to perform advanced analytics and
draw insights from data. They include a data processing part (eg, for joining, filtering …

Pseudorandom sets in grassmann graph have near-perfect expansion

K Subhash, D Minzer, M Safra - 2018 IEEE 59th Annual …, 2018 - ieeexplore.ieee.org
We prove that pseudorandom sets in the Grassmann graph have near-perfect expansion.
This completes the last missing piece of the proof of the 2-to-2-Games Conjecture (albeit …

An analytic infrastructure for harvesting big data to enhance supply chain performance

Y Zhan, KH Tan - European Journal of Operational Research, 2020 - Elsevier
Big data has already received a tremendous amount of attention from managers in every
industry, policy and decision makers in governments, and researchers in many different …

[HTML][HTML] Privacy preservation techniques in big data analytics: a survey

P Ram Mohan Rao, S Murali Krishna, AP Siva Kumar - Journal of Big Data, 2018 - Springer
Incredible amounts of data is being generated by various organizations like hospitals,
banks, e-commerce, retail and supply chain, etc. by virtue of digital technology. Not only …

Cost models for big data query processing: Learning, retrofitting, and our findings

T Siddiqui, A Jindal, S Qiao, H Patel, W Le - Proceedings of the 2020 …, 2020 - dl.acm.org
Query processing over big data is ubiquitous in modern clouds, where the system takes care
of picking both the physical query execution plans and the resources needed to run those …