Build maps in the cloud with BigQuery DataFrames, Gemini, and CARTO
Using BigQuery DataFrames with CARTO visualization tools can help Python users access cloud-native analytics and generative AI services.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Where Does Data Governance Fit Into Hybrid Cloud?
At a time when artificial intelligence (AI) and tools like generative AI (GenAI) and large language models (LLMs) have exploded in popularity, getting the most out of organizational data is critical to driving business value and carving out a competitive market advantage. To reach that goal, more businesses are turning toward hybrid cloud infrastructure – with data on-premises, in the cloud, or both – as a means to tap into valuable data.
Your data strategy is the foundation for your AI strategy
Learn why successful AI initiatives require a well-executed data foundation to drive business value.
Data Fabric Implementation: 6 Best Practices for IT Leaders
Trying to integrate data without knowing your starting point is like taking a road trip without a map—you’re bound to get lost. To navigate the challenges of data integration, IT leaders must first evaluate their current data setup. This means taking stock of all your data sources, understanding their quality, and identifying integration points. It’s like conducting a thorough inspection before renovating a house; you must know what you’re working with.
How Enterprise Automation Transforms Workflows
If you're noticing bottlenecks or disadvantageous data silos in your enterprise workflows, enterprise automation could be the answer.
Snowflake Cost Breakdown: Key Factors to Consider
Snowflake is a modern, robust data platform for cloud data management that provides users with the opportunity for unique scalability, flexibility, and performance. However, keeping costs under control is crucial to maximize the benefits on offer with this platform.
Ingest Data Faster, Easier and Cost-Effectively with New Connectors and Product Updates
The journey toward achieving a robust data platform that secures all your data in one place can seem like a daunting one. But at Snowflake, we’re committed to making the first step the easiest — with seamless, cost-effective data ingestion to help bring your workloads into the AI Data Cloud with ease. Snowflake is launching native integrations with some of the most popular databases, including PostgreSQL and MySQL.
Addressing the Elephant in the Room - Welcome to Today's Cloudera
Hadoop. The first time that I really became familiar with this term was at Hadoop World in New York City some ten or so years ago. There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data. This was the gold rush of the 21st century, except the gold was data.
Using Asynchronous Events to enrich Fraud Detection | Designing Event-Driven Microservices
In this video, you will see an example of how Tributary bank uses asynchronous events to enrich its domain and protect its fraud detection system from failures.
Snowflake: Automate tuning for data cloud speed and scale
40% of companies surveyed will increase their AI investment because of advances in GenAI (McKinsey). And 80% plan to maintain or increase their investment in data quality/observability (dbt). With this in mind, Unravel is hosting a live event to help you leverage data observability to achieve speed and scale with Snowflake. Join Unravel Data for this event about automating tuning with AI-powered data performance management for Snowflake with Eric Chu, Unravel Data VP of Product, and Clinton Ford, Unravel Data VP of Product Marketing.