In this post, I’ll walk you through the key components of a data warehouse, different architecture types, and best practices to help you design a system that’s both scalable and efficient. Whether you’re setting up a new data warehouse or optimizing an existing one, understanding these pr...
This chapter explains some of the features of the cost-based query optimizer and how they work for queries in a data warehouse. It also discusses several structured query language (SQL) functions that are useful for decision-support applications to answer business queries, which perform computations...
This is one of the less popular data warehouse architecture concepts. In a single-tier model, the main objective is to minimize the amount of digital information that is stored and to remove data redundancy. Single-tier architecture isn’t a good option for organizations with complex data requir...
Historically, businesses usedETL(extract, transform, load) tools to aggregate data into expensive on-premises data warehouse systems. Due to the limited capacity of these expensive systems, business users needed to perform as much prep work as possible before loading data into the ...
Some may have a small number of data sources, while some may have dozens of data sources. In view of this, it is far more reasonable to present the different layers of a data warehouse architecture rather than discussing the specifics of any one system....
The core infrastructure component of an Amazon Redshift data warehouse is acluster. A cluster is composed of one or morecompute nodes. If a cluster is provisioned with two or more compute nodes, an additionalleader nodecoordinates the compute nodes and handles external communication. Your client ...
The data flow architecture is about how the data stores are arranged within a data warehouse and how the data flows from the source systems to the users through these data stores. The system architecture is about the physical configuration of the servers, network, software, storage, and clients...
An enterprise data warehouse is a centralized digital repository. It gathers, polishes, and stores vast amounts of data from every department of an enterprise.
From the error stack it looked as if the error was raised by Evaluate, rather than the function My_Event.GatVarChar(), so I tested that by including the call to My_Event.GetVarchar() in a query against the columns of DATA_TABLE, and to see what it was returning for each row. Hopef...
数据仓库(Data Warehouses) 数据仓库的场景(也称为OLAP场景)和OLTP的场景比较不一样,上面提到的优化过程和执行引擎的讨论需要一定的扩展和修改才能在OLAP的场景下得到更好的性能。 Bitmap Indexes。有些列,例如性别,只有固定的取值可能,使用Bitmap索引可以得到更好的性能。 Fast Load。尽管以前OLAP可以一天导入一次,...