This Snowflake connector is supported for the following activities Copy data from Snowflake that utilizes Snowflake's COPY into [location] command to achieve the best performance.
CREATE MATERIALIZED VIEW — Snowflake Documentation. Docs.snowflake.com Specifies the query used to create the view. This query serves as the text/definition for the view. This query is displayed in the output of SHOW VIEWS, SHOW MATERIALIZED VIEWS, and the VIEWS Information Schema view. There are limitations on the select_statement.
This statement creates a materialized table without data in it. The next section explains how to insert data in it. The primary key field of this table is “name”. Note that Virtual DataPort does not enforce the primary keys of views. You have to make sure you do not insert repeated values for this field.
Create Materialized View Log on "EE"."MV_DP_EE_table" WITH ROWID ... SNOWFLAKE alert! With free advice, sometimes you get what you paid for it.
Jul 01, 2020 · This post is heavily inspired by work done by Alan from tails.com — thanks for sharing your approach on a dbt office hours! What’s a blue/green deployment? Blue-green deployment is a technique that reduces downtime and risk by running two identical production environments. Let’s take a website as an example — when you need to deploy a new version of your website, the new version is ...
Describes the standard SQL commands that Amazon Redshift uses to create database objects, run queries, load tables, and modify the data in tables.
Such a refresh is referred to as an out-of-place materialized view refresh. An out-of-place materialized view refresh involves creating one or more outside tables into which data will be inserted. During the refresh, the materialized view may be accessible for query processing, even though the materialized view contains “stale” data.
of Qualifications: Over Seven (7+) years of experience as an Oracle PL/SQL Developer, System Analysis, Design, Development & Support of Oracle Database 11g/10g in Production, Staging, Development, and
Oracle: Data Warehouse Design