Delivering high performing applications and analytics is a challenging task especially as databases scale and users are geo-dispersed. Database index and search can be slow and complex to manage as application and business needs change:
• Disk-based SQL and NoSQL databases can suffer search and query bottlenecks negatively impacting customer experience and loyalty
• Bolt-on search engines increase complexity due to software integration requirements
Join a fireside chat with HackerRank’s senior software engineer, Ankit Choudhary, who’ll explain how HackerRank uses Redis Enterprise real time data platform alongside their monolithic relational database for rapid query results. Learn how with Redis Enterprise HackerRank scales their leaderboard queries to support over 11 million online users.
Key takeaways that you will learn in this session include:
Software Development Engineer lI, HackerRank
Sr. Product Marketing Manager, Redis
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