Five Short Videos on Couchbase.

  There’s a saying in Chicago: “We don’t want nobody that nobody sent.” This was the cold reception Swami Vivekananda faced when he arrived in the windy city in July 1893, determined to attend the World Parliament of Religions that September. He belonged to no organization, carried no letter of recommendation, his countrymen were nobody, and represented an alien religion to the Western world. As the days passed, his hope of attending the parliament dwindled. With money running out and the odds stacked against him, he left the Windy City and went to Boston, praying for a glimmer of opportunity.  Swamiji came to America to share India’s most profound gift: the wisdom of the Hindu sages, preserved through centuries of oral tradition and embodied by its monks. This was 1893, not 1993—India was under the British grip, its resources drained, and its spirit subdued. Swamiji’s mission was not just a cultural exchange; it was a bold step toward envisioning a future where India could re...

From search to CRM, applications are adopting natural language and intuitive interactions. Should databases follow? This article provides a strategic perspective. 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 .  Today, RDBMS dominates the market, with four of the top five databases and seven of the top ten being relational. RDBMS has smartly borrowed ideas, like JSON support, from NoSQL, while NoSQL has also borrowed from RDBMS. NoSQL no longer rejects SQL. From a user perspective, all modern databases have SQL-inspired query language and a set of APIs. All applications manage the respective data...

  The landscape of software development is ever-evolving with the advent of new technologies. As we venture into 2023, natural language processing ( NLP ) is rapidly emerging as a pivotal aspect of programming. Unlike previous generations of tools that primarily aimed at enhancing coding productivity and code quality, the new generation of Artificial Intelligence ( GenAI ) tools, like iQ, is set to revolutionize every facet of a developer's workflow. This encompasses a wide range of activities: Reading, writing, and rewriting specifications Designing, prototyping, and coding Reviewing, refactoring, and verifying software Going through the iterative cycle of deploying, debugging, and improving the software Create a draft schema and sample data for any use case Natural language queries. Generate sample queries on a given dataset Fix the syntax error for a query Don't stop here. Let your imagination fly. Although the insights garnered from iQ are preliminary and should be treated ...