
Keshav Murthy
Articles
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Nov 12, 2024 |
dzone.com | Keshav Murthy
Join the DZone community and get the full member experience. Join For Free Amid the many technological evolutions in software and hardware (CISC/RISC, Internet, Cloud, and AI), one technology has endured: Relational Database Systems (RDBMS), aka SQL databases. For over 50 years, RDBMS has survived and thrived, overcoming many challenges. It has evolved and adopted beneficial features from emerging technologies like object-relational databases and now competes robustly with NoSQL databases.
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Feb 2, 2024 |
dzone.com | Mike Carey |Keshav Murthy |Wail Alkowaileet
While SQL was invented for the relational model, it has been unreasonably effective for many forms of data, including document data with type heterogeneity, nesting, and no schema. Couchbase Capella has both operational and analytical engines. Both the operational and analytical engines support JSON for data modeling and SQL++ for querying.
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Nov 30, 2023 |
dzone.com | Keshav Murthy
The purpose of computing is insight, not numbers. - Richard Hamming Capella Columnar is an advanced real-time analytics database service from Couchbase, targeted for real-time data processing, offering SQL++ for processing JSON (semi-structured) data and more. This service enables data to be managed locally and streamed continuously from both relational and NoSQL databases, or simply process data on S3.
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Nov 19, 2023 |
couchbase.com | Keshav Murthy
Developers craft software that both delight consumers and deliver innovative applications for enterprise users. This craft requires more than just churning out heaps of code; it embodies a process of observing, noticing, interviewing, brainstorming, reading, writing and rewriting specifications; designing, prototyping and coding to the specifications; reviewing, refactoring and verifying the software; and a virtuous cycle of deploying, debugging and improving.
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Oct 9, 2023 |
dzone.com | Keshav Murthy
Vector technology in AI, often referred to with implementations, vector indexes, and vector search, offers a robust mechanism index and query through high-dimensional data entities spanning images, text, audio, and video. Their prowess becomes evident across diverse spectrums like similarity-driven searches, multi-modal retrieval, dynamic recommendation engines, and platforms leveraging the Retrieval Augmented Generation (RAG) paradigm.
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