![]() ![]() As a result, it can become hard to maintain the monitoring, compliance, and security best practices required to keep your data safe. As your data sharing scales and more stakeholders need data, the complexity increases. There is a lot of manual work involved in building and maintaining the different extract, transform, and load jobs required to make this work. They want to be able to query live views of the data concurrently while experiencing no performance degradation and access the right information exactly when it’s needed.Īmazon Redshift, the first data warehouse built for the cloud, has become popular as the data warehouse component of many of our customers’ data architecture.Īmazon Redshift users can share data with users in an AWS account, but to share and collaborate on data with other AWS accounts, they needed to extract it from one system and load it into another. ![]() ![]() Some even offer their data and analytics as a service, to their customers, partners, and external parties to create new revenue streams.Īll stakeholders want to share and consume the same accurate data as a single source of truth. They unleash the power of data by using secure systems to collect, store, and process data and share it with people in their organization. Many of our customers embrace this concept to become data-driven organizations.ĭata-driven organizations treat data as an asset and use it to improve their insights and make better decisions. To be successful in today’s fast-moving world, businesses need to analyze data quickly and take meaningful action. ![]()
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