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One of the foundations of data warehousing is the notion that databases for transaction processing and databases for business analysis serve very different needs. The core focus of an online transaction processing (OLTP) database is to support the basic day-to-day functions of an organization. In a manufacturing company, OLTP databases support the taking of customer orders, ordering of raw materials, management of inventory, billing of customers, and similar functions. Their heaviest users are the applications used by order-processing clerks, production workers, warehouse staff, and the like. By contrast, the core focus of a business intelligence (BI) database is to support business decision making through data analysis and reporting. Its heaviest users are typically product managers, production planners, and marketing professionals. Table 21-1 highlights the significant differences in OLTP and business intelligence application profiles and the database workloads they produce. A typical OLTP transaction processing a customer s order might involve these database accesses: I Read a row of the customer table to verify the proper customer number. rdlc pdf 417 PDF417 Barcode Creating Library for RDLC Reports | Generate ...
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Free trial package available to insert PDF - 417 barcode image into Client Report RDLC . I Read a row of the inventory table to verify that a product is available. I Insert a new row in an order table and an order-items table to record the customer s order. I Update the row of the inventory table to reflect the decreased quantity available. The workload presents a large volume of short, simple database requests that typically read, write, or update individual rows and then commit a transaction. The same type of workload is presented by all of the most frequent types of transactions, such as: I Retrieving the price of a product I Checking the quantity of product available I Deleting an order I Updating a customer address I Raising a customer s credit limit In contrast, a typical business analysis transaction (generating an order analysis report) might involve these database accesses: I Join information from the orders, order-items, products, and customers tables I Summarize the detail from the orders table by product in a summary query I Compute the total order quantities for each product I Sort the resulting information by customer This workload presents a single, long-running query that is read-intensive. It processes many rows of the database (in this case, every order item) and involves computing totals and averages and summarizing data. These characteristics are typical of almost all business analysis queries, such as: I Which regions had the best performance last quarter I How did sales by product last quarter compare to last year I What is the trend line for a particular product s sales I Which customers are buying the highest-growth products I Which characteristics do those customers share The difference between the business intelligence and the OLTP workloads is substantial and makes it difficult or impossible for a single DBMS to serve both types of applications. rdlc pdf 417 How to add Barcode to Local Reports ( RDLC ) before report ...
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Barcode Control SDK supports generating Data Matrix, QR Code, PDF - 417 barcodes in RDLC Local Report using VB and C# class library both in ASP.NET and ... DECIMAL(precision,scale) Example: EMPLOYEE_HOURLY_RATE DECIMAL(5,2) Current data Tables organized to align with transaction structure Thousands of rows Predetermined for each type of transaction to be processed Tens Individual rows Many business transactions per second or minute Read, insert, and update Transaction throughput Historical data Tables organized to be easy to understand and query Millions of rows Ad hoc, depending on the particular decision to be made Thousands to millions Groups (summary queries) Many minutes or hours per query Almost 100 percent read Query completion time Table 21-1.
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