Research Directions in Blockchain Data Management and Analytics

Speaker:  Ashish Kundu – San Jose, CA, United States
Topic(s):  Security and Privacy


Blockchain technology has emerged as a primary enabler for verification-driven transactions between parties that do not have complete trust among themselves. Bitcoin uses this technology to provide a provenance-driven verifiable ledger that is based on consensus. Nevertheless, the use of blockchain as a transaction service in non-cryptocurrency applications, for example, business networks, is at a very nascent stage. While the blockchain supports transactional provenance, the data management community and other scientific and industrial communities are assessing how blockchain can be used to enable certain key capabilities for business applications.

We have reviewed a number of proof of concepts and early adoptions of blockchain solutions conducted by IBM for customers worldwide spanning diverse use cases to understand the data life-cycle and persistence patterns used in realworld blockchain applications and ultimately identify new frontier of exciting research in blockchain data management and analytics.

In this talk, we shall discuss several open topics that researchers could increase focus on: (1) leverage existing capabilities of mature data and information systems, (2) enhance data security and privacy assurances, (3) enable analytics services on blockchain as well as across off-chain data, and (4) make blockchain-based data systems active-oriented and intelligent.

About this Lecture

Number of Slides:  25
Duration:  60 minutes
Languages Available:  English
Last Updated: 

Request this Lecture

To request this particular lecture, please complete this online form.

Request a Tour

To request a tour with this speaker, please complete this online form.

All requests will be sent to ACM headquarters for review.