Rise of the Data Cloud

It’s only natural to edge forward incrementally. But every once in a while, there is a step-level change that really alters the game. The Data Cloud is exactly that – an opportunity to completely mobilize your data in the service of your business. The Data Cloud is a new type of cloud, so you can avoid bunkering and siloing your data across the infrastructure and application clouds, as well as your on-premise systems.

Snowflake's Product Innovations for 2020

At Snowflake, we are relentlessly focused on our customers and on creating innovative technology to better serve their needs. Today marks another milestone where we demonstrate such focus. In this blog, I detail the latest innovations to our cloud data platform. These new features make even more powerful all six data workloads enabled by our platform – data warehouse, data lake, data exchange, data applications, data engineering, and data science.

The Imperative For Change

The ingredients of competitive advantage and differentiation tend to evolve over time. Throughout history they have included access to capital, raw materials, labor; they have been based on economies of scale and economies of scope. At IDC, it is our contention that the new basis for differentiation will be economies of intelligence.

Countly Application Performance Monitoring solution

Performance Monitoring provides you a deeper understanding of your app performance (Android, web and iOS) and lets you optimize its performance. The Performance Monitoring SDK collects data from your application and the Countly dashboard visualizes this data so that you can review and analyze your applications performance. With this tool you can find performance issues within your application and fix them for better user experience.

How Snowflake's Cloud Architecture Scales Modern Data Analytics

Companies are moving workloads to the cloud as they seek to improve speed, scale, and agility. Today's data warehouse managers want to boost analytics productivity, increase the ability to scale instantly, and ingest and support a diverse set of data without bottleneck delays. In this white paper, we explain how Snowflake delivers the speed, scale, and agility organizations need for data-driven decision-making.

Little Book of Big Success with Snowflake - Financial Services

Financial institutions are embracing cloud-based data technologies to improve their service and product offerings, streamline operations, and gain deeper customer insights. This ebook features success stories about the many ways financial services companies are leveraging Snowflake Cloud Data Platform to build a 360 degree view of customers, accelerate financial analysis with unlimited scale, and keep sensitive and regulated data secure.

Bringing ML Pipelines to Production - Challenges & Solutions - MLOPs Live #1 - With S&P Global

The session — featuring Ganesh Nagarathnam, Director Analytics & ML Engineering at S & P Global Market Intelligence, and Yaron Haviv, Co-Founder and CTO at Iguazio — goes beyond theory, with industry leaders sharing challenges and practical solutions that involve running Al experiments at scale, versioning, delivery to production, reproducibility and data access.

How to Save Costs (& Time) on Bringing AI to Production - MLOps Live #2 - With Quadient

The session — featuring Jason Evans, Director of DXP Innovation at Quadient, and Yaron Haviv, Co-Founder and CTO at Iguazio — goes beyond theory, with industry leaders sharing challenges and practical solutions that involve running AI experiments at scale, versioning, delivery to production, reproducibility and data access.

Git-Based CI CD for Machine Learning & MLOps - MLOps Live #3 - With Microsoft & GitHub

The session — featuring David Aronchick, Head of OSS ML Strategy at Microsoft; Marvin Buss, Azure Customer Engineer at Microsoft; Zander Matheson, Senior Data Scientist at GitHub; and Yaron Haviv, Co-Founder and CTO at Iguazio — goes beyond theory, with industry leaders sharing challenges and practical solutions that involve running AI experiments at scale, versioning, delivery to production, reproducibility, and data access.