
Metrics in dbt
In today’s fast-paced business environment, data is a critical asset that can make or break an organization’s success. To get the most value out of data, companies need to ensure
Atzmon studied at the University of Haifa and did his Master in Geographical Information Systems (GIS) and Remote Sensing. During this time he handled and participated in various projects:
Switching from Academy to the Industry Atzmon joined Geokom Ltd., as a GIS & Data Manager with the purpose of:
Later on, he continued to explore more data at Bird Rides, as an Associate Data Analyst, Focusing on Fraud, Compliance and User Insights further developing his skills and working on projects such as:
While working at Bird Rides, Atzmon discovered Tableau’s modern-looking and intuitive environment and started mastering it in order to meet stakeholders needs for data driven decisions using an optimal experience and connectivity.
In today’s fast-paced business environment, data is a critical asset that can make or break an organization’s success. To get the most value out of data, companies need to ensure
When dbt creates table or a view in a database, it creates it as: {{ database }}.{{ schema }}.{{ identifier }}, e.g. analytics.finance.payments. Schema and database are defined in the profiles.yml file
Dynamic Data Masking is a Column-level Snowflake Security feature that uses masking policies to selectively mask data in table and view columns at query time. Currently, Snowflake supports Dynamic Data
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