data warehouse modernization

. savechanges ();} Return True ;} // Copy JSON data to object Private Void Jsontoobject (blogpost post, String Jsondata){Jobject jo = Jobject. parse (jsondata );VaR posttype = Post. GetType (); Foreach (VAR proper In Jo. properties ()){Posttype. getproperty (proper. Name). setvalue (post ,( String ) Proper. value, Null );}} // Get object before modification Public Blogpost getblogpost ( Int Entryid){ Using (Bl

Here, "On-Demand Update" refers to updating only the modified data. For example, when we open the casual editing page in the background of a blog, there is a lot of data that can be modified, but we only changed the casual title, and nothing else was changed, the database only updates the title field, which is updated on demand. Currently, we use a very backward method. A stored procedure with many parame

Create | data How to create a successful data Warehouse (Warehose), the following story will tell you! The company's ' s ' Warehouse project began with a casual conversation between several executives on their way to LUN Ch. The people involved were the IT manager for decision support as as and as several members of

Data warehouse design purpose and data warehouse design purpose The purpose of data warehouse design or the criteria for measuring success: 1. The data

This article outlines the general process of using OWB to create a data warehouse. Oracle's OWB is one of the three most current ETL products. OWB can not only complete data extraction, conversion and loading, but also help users create ROLAP (relational online analysis Process) and MOLAP (multidimensional online) in Oracle database Analysis Process)

First, what is a data warehouse The traditional data warehouse concept is that data warehouse is a structured data environment for decision Support System (DSS) and on-line analysis app

Introduction to ETL technology: Introduction to ETL, data warehouse, and etl Data WarehouseETL is the abbreviation of Extract-Transform-Load. It is used to describe the process of extracting, transforming, and loading data from the source to the target. ETL is commonly used in data