Why Data warehousing:
In any line of business, information is a very vital element. This information can be in various formats such as documents or data. As organizations expand so does the volume of information and it becomes highly difficult to store it as it is spread in different locations. Because managers are busy in important decision making processes, they are unable to devote such a huge amount of time organizing information.
In such a scenario, information management system becomes inevitable. Information management involves gathering and managing information from various sources and unifying then into a single format so that it becomes easily accessible to the right people at the right time.
Since the early 1990s, data warehouses have been at the forefront of information technology applications as a way for organizations to effectively use digital information for business planning and decision making. As information professionals, it is necessary for us to understand the data warehouse system architecture.
The term Data Warehouse was coined by Bill Inmon in 1990, which he defined in the following way: "A warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process".
About Data warehousing
Data warehouse is a repository of an organization’s electronically stored data. Data warehouses are designed to facilitate reporting and analysis.
A Data Warehouse houses a standardized, consistent, clean and integrated form of data sourced from various operational systems in use in the organization, structured in a way to specifically address the reporting and analytic requirements.
This definition of data warehouse focuses on data storage. However, the means to retrieve and analyze data, to extract, transform and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform, and load data into the repository, and tools to manage and retrieve metadata.

BigClasses.com offers a comprehensive portfolio of training on a various Data Warehouse solutions. With our expertise in the field of Data warehouse training and our world-class Virtual Learning Solution, BigClasses.com offer you training customized to your specific needs.

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Classifications in Data WareHousing:
1.ETL Tools.
2.BI Reporting Tools.
What is ETL, Extract Transform and Load?
ETL is an abbreviation of the three words Extract, Transform and Load. It is a process in database usage and especially in data warehousing that involves:
• Extracting data from different types of systems/sources
• Transforming it to a structure that fits operational needs (which can include quality levels) and is appropriate for reporting and analysis
• Loading it into the end target (database or data warehouse)
The figure below displays these ETL steps.
ETL Architecture and Steps

Popular ETL Tools
• Informatica
• Data Stage
• Ab Initio
• BO DI

What is Business Intelligence (BI) Reporting Tools?
Business Intelligence (BI) is an umbrella term applied to methods, applications and technologies used to gather, integrate, present and analyze business information to improve decision making and allocate resources for optimal growth. Thus a BI system can also be called a Decision Support System (DSS).
The term business intelligence is often used as a synonym for competitive intelligence, because they both support decision-making. BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence is done by gathering, analyzing and disseminating information with or without support from technology and applications, and focuses on all-source information and data (unstructured or structured), mostly external, but also internal to a company, to support decision making.
Popular BI Reporting Tools
• Business Objects
• Cognos
• OBIEE
• MicroStrategy
• Hyperion
With so many data warehouse tools available at disposal, it becomes difficult for students to get accurate information about these tools and how they match up to specific requirements. So there is always a challenge of which appropriate tool to choose. But with BigClasses.com, the case is different. We have experience and expertise in most of the Data warehousing tools and we can help you make the right choice through evaluations, proof of concept and benchmarks.
OTHER DATA WAREHOUSING TOOLS OFFERED:
Reporting Tools: Business Objects, OBIEE, MicroStrategy, Hyperion.
ETL Tools : Informatica, Data Stage, BODI, Abinitio.
Other Tools : MS BI, TeraData, SAS.

OTHER TRAININGS OFFERED:
* SAP
* Microsoft Technologies
* Java
* Testing Tools
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