SAS | The Power to Know
Blue radiance
cq5dam.thumbnail.319.319
White Paper

Data Lakes: Purposes, Practices, Patterns, and Platforms

TDWI Best Practices Report

About this paper

When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too.

Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data.

To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness for data lakes, and the report’s user stories document real-world activities.

About SAS

SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 83,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®.

已经注册? 自动填写表格。 登录

*
*
*
*
 
*
*
 
  是的,我愿意订阅来自SAS公司的不定期邮件,了解关于SAS产品、活动、免费白皮书、培训及出版物的特价信息,个人信息受到SAS隐私协议的保护。
 
 

Back to Top