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An enterprise data warehouse is critical to the long-term viability of your business.

Data warehouses are the central data repository that allows Enterprises to consolidate data, automate data operations, and use the central repository to support all reporting, business intelligence (BI), analytics, and decision-making throughout the enterprise. But designing a data warehouse architecture can be quite challenging.

CDP Operational Database (COD) is an autonomous transactional database powered by Apache HBase and Apache Phoenix. It is one of the main Data Services that runs on Cloudera Data Platform (CDP) Public Cloud. You can access COD right from your CDP console. With COD, application developers can now leverage the power of HBase and Phoenix without the overheads that are often related to deployment and management.

SBS is Australia’s most diverse broadcaster, offering a multi-platform portfolio of TV, radio, and digital services. The company’s data is also diverse and multi-platform, and SBS understands its data is a key element in contributing to improving viewership, customer satisfaction, and loyalty. But what’s the key to using data more effectively? How do you bring together dozens of data sources into a single, central data platform?

Confusingly, there are multiple Snowflakes in data management. A Snowflake database refers to a database (called a data warehouse) that integrates data from one or more sources for analytical purposes. Snowflake is the company that powers that database as a Software as a Service (SaaS). For this article, we're going to focus on the Snowflake database (sometimes stylized as SNOWFLAKE) and explain the features that best serve Salesforce users.

Migrating from Heroku Postgres to Amazon Redshift might sound complicated, but moving data between these two systems is easier than you think. You might need to transfer data from Postgres to Redshift for all kinds of reasons. Here are two of the most common.

Your organization’s data is the source of opportunity for your innovation. However, 25 percent of executives surveyed by KPMG either distrust or have limited trust in their data. Without integrity, the information is essentially useless. So exactly what is data integrity? Let’s take a dive deeper into this topic and discuss why it is important for your organization.

Mistakes are part of human nature. Who hasn’t left their car unlocked or accidentally hit “reply all” on an email intended to be private? But making mistakes in your enterprise data warehouse, such as accidentally deleting or modifying data, can have a major impact on your business.