Real-Time All the Time: Redesigning Databases with DataStax & Google Cloud
Presented by
Mike Leone, ESG; Sam Ramji, Datastax; Ashwin Karuhatty, Google Cloud
About this talk
Access to data has become a prerequisite for multiple business teams, placing greater strain on database architectures. Legacy systems that rely on a single server or access point can become overwhelmed and end up creating damaging bottlenecks that hinder operational efficiency. While investing greater resources may work as a temporary fix, this is unlikely to work long term; organizations need to redesign their approach to database infrastructure and build a system that can keep up with modern demands.
In this webinar from Datastax, Google Cloud and ESG, industry experts will spotlight the key issues plaguing traditional databases and discuss a new way to re-architect these infrastructures.
Tune in to hear more about:
— The impact of data explosion on traditional data management
— Why a managed services approach is so well suited to database workloads
— How Datastax and Google Cloud are working together to fuel customer success, through real case studies
— And much more
We provide the real-time vector data tools that Gen AI apps need, with seamless integration with developers’ stacks of choice (RAG, Langchain, LlamaIndex, OpenAI, GCP, AWS, Azure, etc).
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