{"id":46943,"date":"2023-09-20T07:01:58","date_gmt":"2023-09-20T11:01:58","guid":{"rendered":"https:\/\/centricconsulting.com\/?p=46943"},"modified":"2023-12-06T15:06:40","modified_gmt":"2023-12-06T20:06:40","slug":"important-snowflake-updates-a-look-at-dynamics-tables-and-more","status":"publish","type":"post","link":"https:\/\/centricconsulting.com\/blog\/important-snowflake-updates-a-look-at-dynamics-tables-and-more\/","title":{"rendered":"Important Snowflake Updates: A Look at Dynamic Tables and More"},"content":{"rendered":"
Organizations that service customer data requirements often face technical challenges due to the inherent complexity of data management. These headaches can include data silos, limited scalability, the need for more efficient pipelines for data streaming and the separation of analytical and transactional data (to name a few). Snowflake<\/a>, a cloud-native solution with a unique \u201cmulti-cluster\u201d architecture, has worked wonders to address these problems with it’s latest updates. Behind its user-friendly SQL interface, Snowflake provides nearly unlimited storage and scaling capability with minimal configuration. That capacity makes it easier to collect, organize and access your data without sacrificing performance.<\/p>\n Now, Snowflake is providing built-in declarative data pipelines through its dynamic tables. What\u2019s a declarative data pipeline? It\u2019s a type of pipeline that reduces development time and increases performance by letting you focus on a desired outcome rather than the underlying mechanics.<\/p>\n Snowflake has also announced it will combine transactional and analytical support through its hybrid tables and offer open-format interoperability through its Iceberg Table<\/a> support. Iceberg Tables will let you store large datasets used outside of your daily workloads, offering a cost-effective data retention option and the ability to securely share with non-Snowflake users.<\/p>\n These are only some of the enhanced features Snowflake has teased in the last year. We\u2019re here to share the latest and greatest in Snowflake offerings and dig into the details all data engineers should know.<\/strong> Use this explainer to bring team members up to speed on Snowflake\u2019s new iteration \u2014 and follow us for future updates.<\/p>\nThe Latest and Greatest Snowflake Updates<\/h2>\n