The data warehouse is the most important asset for any Business Intelligence project, as it provides the foundation that all BI applications are built on. For this reason, the data warehouse is the cornerstone of any BI strategy. However, one of the main challenges with the data warehouse is figuring out when to upgrade the data warehouse to a new version, a new hardware platform, or new technology.
It’s a difficult proposition because the data warehouse is a complex technology that can be difficult to upgrade. The data warehouse is usually stuffed with a lot of data, and making sure the data warehouse is operational during the upgrade process is a major challenge. There are ways to upgrade your data warehouse and Azure OLAP is one of them.
If a business is not getting the kind of results it expected from its data warehouse, then there are only two reasons. One, that the data warehouse is not being used properly, or two, that it is being used properly, but it is not up to the mark.
In the first case, the business owners and the management team must do a complete review of the steps involved in the data warehouse implementation, including the performance monitoring and the usage data from the users and if the data warehouse is not upgraded then it must be on the top priority.
If you are looking to upgrade your data warehouse, in this article we will discuss why upgrade your data warehouse with Azure OLAP?
Why Upgrade Your Data Warehouse with Azure OLAP?
Online analytical processing (OLAP) is the method of data storage and retrieval that is widely used in business intelligence and data mining. OLAP is considered to be an alternative to online transaction processing (OLTP) and to make use of a database management tool, which is specifically designed to handle large amounts of data.
Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform with a rich set of built-in services that helps you build, deploy, and manage applications across a global network of Microsoft-managed datacenters. With Azure OLAP, you can easily integrate analytics into applications, deliver enterprise-grade performance and security, and provide mobile access to data and services.
Fast and Responsive
It is a fast, flexible, and cost-effective data warehousing solution that enables interactive analysis of data using familiar tools. Unlike traditional data warehouse solutions, Azure Data Warehouse utilizes column-based storage and parallel processing of data to provide a fast, responsive set of data-warehousing services. It is an ideal solution for implementing data analytics and business intelligence (BI) solutions for your organization.
Easy to Analyse Large Data
The tool was developed in the 1970s as a way to make it easier for businesses to analyze massive amounts of data. Online analytical processing (OLAP) is defined as a multidimensional data analysis technology. In general, OLAP is a tool for exploring and analyzing large amounts of data. It is often used in business intelligence applications and data warehouses to analyze large chunks of historical data and to create predictive models that will help the business.
The process of online analytical processing involves the creation of a multi-dimensional database, with the data being stored in the database in a way that allows for quick retrieval and analysis.