Analytics
Seamlessly Connect IoT Data Streams: Integrating Confluent Cloud with AWS IoT Core
Raw data from IoT devices, like GPS trackers or electronic logging devices (ELDs), often lacks meaning on its own. However, if combined with information from other business systems, such as inventory management or customer relationship management (CRM), this data can now provide a richer, more complete picture for more effective decision-making. For example, combining GPS data with inventory levels can optimize logistics and delivery routes.
Cloudera - Bringing Generative AI On-Premises: Strategies for Secure and Scalable Deployment
Hear from guest speaker Adrien Chenailler, Head of Machine Learning at OCBC Digital Bank on his successes using Cloudera.
Hitachi Vantara Announces Hitachi iQ for Trusted Data Infrastructure Solutions for Modern AI Systems with NVIDIA HGX Platform
Hitachi iQ certified solutions and reference architectures - built on NVIDIA accelerated computing and AI software - enhance ease of deployment, operations, and maintenance of AI systems.
Data delays: Half of C-suite say data is out of date by the time it reaches them
IT teams urged to resolve 'data delays' as UK executives struggle to access and use relevant business data.
CDC and Data Streaming: Capture Database Changes in Real Time with Debezium PostgreSQL Connector
In today's data-driven world, staying ahead means acting on the most up-to-date information. That's where change data capture (CDC) comes in. CDC is a design pattern that tracks your database tables, capturing every row-level insert, update, and delete as it happens. This real-time monitoring allows downstream systems to react to changes instantly, without batch-based updates and resource-intensive full scans.
Rightsizing Your Data Infrastructure: Optimizing Databricks Cluster and Workspace Configurations
Join us for another enlightening session in our Weekly Walkthrough series, "FinOps Metrics That Matter," where we focus on the critical aspect of rightsizing your Databricks infrastructure for optimal performance and cost-efficiency. Achieving the right balance between performance and cost is paramount. However, a striking 80% of data management experts grapple with precise cost forecasting and management (Forrester). The primary culprits? Insufficient granular visibility, data silos, and a lack of AI-driven predictive tools.
9 Best Practices for Transitioning From On-Premises to Cloud with Snowflake
On a day-to-day basis, Snowflake teams identify opportunities and help customers implement recommended best practices that ease the migration process from on-premises to the cloud. They also monitor potential challenges and advise on proven patterns to help ensure a successful data migration. This article highlights nine key areas to watch out for and plan around in order to accelerate a smooth transition to the cloud.
Unlock 5x productivity: How global enterprises scale with Fivetran
From AI to real-time insights, learn how Saks, Paylocity and Dropbox are using Fivetran to unlock efficiency and scale their data operations.
Introducing Lenses 6.0 Panoptes
Organizations today face complex data challenges as they scale, with more distributed data architectures and a growing number of teams building streaming applications. They will need to implement Data Mesh principles for sharing data across business domains, ensure data sovereignty across different jurisdictions and clouds, and maintain real-time operations.