整个Snowflake生态被分为六个大的部分,总计100个合作方,分别是 36个Data Integration(数据融合)合作方、21个Business Intelligence (BI) 合作方、13个Machine Learning & Data Science(机器学习和数据科学)合作方、24个Security & Governance(安全和管理)合作方,9个SQL Development & Management(SQL开发和管理)合作方...
Data integration is the process of combining data from multiple sources into a unified view to provide users valuable and actionable information.
Built-in integration with BI & analytics Easily scalable workloads Cloud interoperability Snowflake Data Lakes Our data engineers create a single repository for all your raw data in native format and set up an integrated pipeline that runs analytics to uncover fresh insights. Support real-time decisi...
整个Snowflake生态被分为六个大的部分,总计100个合作方,分别是 36个Data Integration(数据融合)合作方、21个Business Intelligence (BI) 合作方、13个Machine Learning & Data Science(机器学习和数据科学)合作方、24个Security & Governance(安全和管理)合作方,9个SQL Development & Management(SQL开发和管理)合作方。
Learn about the different types of ingestion and how they relate to data integration and its methods, including batch and streaming ingestion.
Salesforce offers native data integration with Snowflake designed to facilitate many descriptive and predictive analytics use cases. Without getting lost in the branding and product names, the goal for integrating Snowflake and Salesforce is to transform data quickly and easily into actionable informatio...
you can effortlessly custom Salesforce data model into recipes and have your data business ready in Snowflake, AWS, TableauOnline, CRMA or Azure Data Lakes . Just select from a list of the reports we recommend or you use the most, recipePro will generate the recipe (integration), and you...
Snowflake AI integration: Navigating the intersection of data and AI Ramaswamy, newly appointed CEO of Snowflake, brings a wealth of experience and a passion for combining technology with product innovation. Having met with over 100 customers, a key learning was that organizations place immense trus...
Fix data problems in real time Talend provides integration and ensures the integrity of your Snowflake data warehouse at every stage of the data lifecycle. Easily extract and transform your data and load it into Snowflake, then find data quality issues and fix them — all from a single user...
Learn about data integration strategies to ensure information from multiple sources is consistent to meets users' analysis needs across the organization.