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Sukhada Pendse

dblp:266/6165 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Database system architecture and tuning · 30% Indexing and storage engines · 30% Distributed and cloud data management · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Indexing and storage engines
column store
0.412020
Oracle Database In-Memory on Active Data Guard: Real-time Analytics on a Standby Database · ICDE 2020
Distributed and cloud data management
data replication
0.412020
Oracle Database In-Memory on Active Data Guard: Real-time Analytics on a Standby Database · ICDE 2020
Database system architecture and tuning
main-memory database
0.412020
Oracle Database In-Memory on Active Data Guard: Real-time Analytics on a Standby Database · ICDE 2020
Transaction processing and concurrency control
OLTP
0.112020
Oracle Database In-Memory on Active Data Guard: Real-time Analytics on a Standby Database · ICDE 2020
YearPublicationVenuePosition
2020 Oracle Database In-Memory on Active Data Guard: Real-time Analytics on a Standby Database
abstract
Oracle Database In-Memory (DBIM) provides orders of magnitude speedup for analytic queries with its highly compressed, transactionally consistent, memory-optimized Column Store. Customers can use Oracle DBIM for making real-time decisions by analyzing vast amounts of data at blazingly fast speeds. Active Data Guard (ADG) is Oracle's comprehensive solution for high-availability and disaster recovery for the Oracle Database. Oracle ADG eliminates the high cost of idle redundancy by allowing reporting applications, ad-hoc queries and data extracts to be offloaded to the synchronized, physical Standby database replicated using Oracle ADG. In Oracle 12.2, we extended the DBIM advantage to Oracle ADG architecture. DBIM-on-ADG significantly boosts the performance of analytic, read-only workloads running on the physical Standby database, while the Primary database continues to process high-speed OLTP workloads. Customers can partition their data across the In-Memory Column Stores on the Primary and Standby databases based on access patterns, and reap the benefits of fault-tolerance as well as workload isolation without compromising on critical performance SLAs. In this paper, we explore and address the key challenges involved in building the DBIM-on-ADG infrastructure, including synchronized maintenance of the In-Memory Column Store on the Standby database, with high-speed OLTP activity continuously modifying data on the Primary database.
Sukhada Pendse, Vasudha Krishnaswamy, Kartik Kulkarni, Yunrui Li, Tirthankar Lahiri, Vivekanandhan Raja, Mahesh Girkar, Akshay Kulkarni
ICDE1