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Building A Scalable Data Warehouse With Data Vault 2.0 Downloads Torrent

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How to Build a Scalable Data Warehouse with Data Vault 2.0

Data warehousing is a critical component of any business intelligence system, as it provides the foundation for storing, integrating, and analyzing data from various sources. However, traditional data warehousing approaches often suffer from complexity, rigidity, and scalability issues, making them unsuitable for the dynamic and diverse needs of modern organizations.

Fortunately, there is a better way to design and implement a data warehouse that can handle the challenges of today's data-driven world: Data Vault 2.0. Data Vault 2.0 is a data modeling and methodology standard that leverages the principles of nature to create a simple, flexible, and scalable data warehouse architecture. Data Vault 2.0 consists of three layers: the raw data layer (RDL), the business vault layer (BVL), and the information mart layer (IML). The RDL stores the data as it is received from the source systems, without any transformation or cleansing. The BVL applies business rules and logic to the RDL data, creating a single version of the truth. The IML provides the presentation layer for the end users, delivering data in various formats and structures according to their needs.

In this article, we will explain how to build a scalable data warehouse with Data Vault 2.0 using SQL Server Integration Services (SSIS) as the ETL tool. We will also discuss some of the best practices and benefits of using Data Vault 2.0 for data warehousing projects.

Step 1: Define the Data Sources and Requirements

The first step in building a data warehouse with Data Vault 2.0 is to identify the data sources and requirements for the project. Data sources can be any type of system that generates or stores data, such as databases, files, web services, APIs, etc. Requirements can be functional or non-functional, such as business objectives, performance goals, security standards, etc.

Once the data sources and requirements are defined, we can start designing the data model for each layer of the Data Vault 2.0 architecture. The data model consists of three types of entities: hubs, links, and satellites. Hubs represent business keys or unique identifiers for each subject area or entity in the business domain. Links represent relationships or associations between hubs. Satellites store descriptive attributes or historical changes for hubs or links.

Step 2: Create the Raw Data Layer

The raw data layer (RDL) is the first layer of the Data Vault 2.0 architecture, where we load the data from the source systems as it is, without any transformation or cleansing. The RDL serves as an audit trail and a backup for the source data, ensuring that we can always trace back to the original state of the data.

To create the RDL, we need to use SSIS to create ETL packages that extract the data from the source systems and load it into staging tables in SQL Server. The staging tables should have the same structure and format as the source tables, except for adding two columns: LoadDate and RecordSource. LoadDate captures the timestamp when the record was loaded into the RDL, and RecordSource captures the name of the source system where the record came from.

After loading the data into staging tables, we need to use SSIS to create ETL packages that load the data from staging tables into RDL tables in SQL Server. The RDL tables should have a similar structure as

the staging tables, except for adding two columns: HashKey and HashDiff. HashKey is a hash value generated from concatenating all columns in a record except LoadDate and RecordSource. HashDiff is a hash value generated from concatenating all columns in a record except LoadDate, RecordSource, and HashKey.

The purpose of using hash values is to enable fast comparison and deduplication of records in the RDL. By comparing HashKey values, we can identify if a record already exists in the RDL or not. By comparing HashDiff values, we can identify if a record has changed since it was last loaded into

the RDL or not.

Step 3: Create the Business Vault Layer

The business vault layer (BVL) is the second 66dfd1ed39

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