Data Management | News, how-tos, features, reviews, and videos
At Snowflake, we fully embrace the value of open standards and open source. But we strive to avoid misguided applications of open that create costly complexity instead of low-cost ease of use.
Many look to cloud computing as the way to fix issues with data and systems, but migrating an existing problem may not be in your best interest.
The legacy programming language that refuses to die is still powering millions of daily transactions, but the difficulties of maintaining and integrating Cobol mainframes make the case for modernization more compelling every day.
An in-memory digital integration hub enables flexible, real-time information flow between mainframes and external systems, unlocking mainframe data for digital transformation.
Better performance and reliability plus lower costs and greater security make this architecture worth keeping in the toolbox.
Major upgrade to the ever-evolving Oracle Database brings JavaScript support, graph optimizations, in-memory enhancements, and dramatic improvements to JSON operations and in-database machine learning.
Object-relational mapper for Node.js and TypeScript aims to ease data modeling, schema migrations, and query creation for application developers.
Open source logic programming language compiles to SQL and runs on Google BigQuery, with experimental support for PostgreSQL and SQLite.
Ahana Cloud for Presto turns a data lake on Amazon S3 into what is effectively a data warehouse, without moving any data. SQL queries run quickly even when joining multiple heterogeneous data sources.
As your data evolves, you need a way to track the who, what, when, why, and how of those changes. You need a data lineage system.