This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
All new sales transactions for 2003-01-01 are automatically ingested, which can be verified by running the following query: SELECT ss_sold_date_sk, count(1) FROM store_sales GROUP BY ss_sold_date_sk; Automate ingestion from multiple data sources We can also load an Amazon Redshift table from multiple data sources.
Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Etihad began its data science journey with the Cloudera Data Platform and moved its data to the cloud to set up a datalake. Reem Alaya Lebhar.
The support for Apache Iceberg as the table format in Cloudera Data Platform and the ability to create and use materialized views on top of such tables provides a powerful combination to build fast analytic applications on open datalake architectures.
The first and most important thing to recognize and understand is the new and radically different target environment that you are now designing a data model for. Star schema: a data modeling and database design paradigm for data warehouses and datalakes. Business Focus. Operational. Operational Tactical.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content