What do you Understand by Data Warehousing?

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 What is data warehousing?

A Data Warehousing is a process for collecting and managing data from varied sources to provide meaningful business insights. A Data warehouse is typically used by the experts of top engineering colleges in Jaipur to connect and analyze business data from heterogeneous sources. The data warehouse is the core of the BI system which is built for data analysis and reporting.

It is a blend of technologies and components which aids the strategic use of data. It is electronic storage of a large amount of information by a business which is designed for query and analysis instead of transaction processing. It is a process of transforming data into information and making it available to users in a timely manner to make a difference.

The decision support database is maintained separately from the organization’s operational database. However, the data warehouse is not a product but an environment. It is an architectural construct of an information system which provides users with current and historical decision support information which is difficult to access or present in the traditional operational data store.

How Data Warehouse Works?

A Data Warehouse works as a central repository where information arrives from one or more data sources. Data flows into a data warehouse from the transactional system and other relational databases.

Data may be Structured, Semi-structured, and Unstructured data. The data is processed, transformed, and ingested so that users can access the processed data in the Data Warehouse through Business Intelligence tools, SQL clients, and spreadsheets. A data warehouse merges information coming from different sources into one comprehensive database.

By merging all of this information in one place, an organization can analyze its customers more holistically. This help expert of best Private engineering colleges in Jaipur ensures that it has considered all the information available. Data warehousing makes data mining possible. Data mining is looking for patterns in the data that may lead to higher sales and profits.

Types Of Data Warehouse

Three main types of Data Warehouses (DWH) include the following:

1. Enterprise Data Warehouse

Enterprise Data Warehouse (EDW) is a centralized warehouse. It provides decision support service across the enterprise. It offers a unified approach for organizing and representing data. It also provides the ability to classify data according to the subject and give access according to those divisions.

2. Operational Data Store

Operational Data Store, which is also called ODS, are nothing but data store required when neither Data warehouse nor OLTP systems support organizations reporting needs. In ODS, Data warehouse is refreshed in real time. Hence, it is widely preferred for routine activities like storing records of the Employees.

3. Data Mart

A data mart is a subset of the data warehouse. It is especially designed for a particular line of business, such as sales, finance, sales or finance. In an independent data mart, students of engineering colleges Jaipur can collect data from sources.

What Is A Data Warehouse Used For?

There are certain sectors where Data warehouse is used:

1. Airline

In the Airline system, it is used for operation purpose like crew assignment, analyses of route profitability, frequent flyer program promotions, etc.

2. Banking

It is widely used in the banking sector to manage the resources available on desk effectively. Few banks also used for the market research, performance analysis of the product and operations.

3. Healthcare

Healthcare sector also used Data warehouse to strategize and predict outcomes, generate patient’s treatment reports, share data with tie-in insurance companies, medical aid services, etc.

4. Public sector

In the public sector, data warehouse is used for intelligence gathering. It helps government agencies to maintain and analyze tax records, health policy records, for every individual.

5. Investment and Insurance sector

In this sector, the warehouses are primarily used to analyze data patterns, customer trends, and to track market movements.

6. Retain chain

In retail chains, Data warehouse is widely used for distribution and marketing. It also helps to track items, customer buying pattern, promotions and also used for determining pricing policy.

7. Telecommunication

A data warehouse is used in this sector by the students of BTech colleges Jaipur for product promotions, sales decisions and to make distribution decisions.

8. Hospitality Industry

This Industry utilizes warehouse services to design as well as estimate their advertising and promotion campaigns where they want to target clients based on their feedback and travel patterns.

Steps To Implement Data Warehouse

The best way to address the business risk associated with a Data warehouse implementation is to employ a three-prong strategy as below

  1. Enterprise strategy - Here we identify technical including current architecture and tools. We also identify facts, dimensions, and attributes. Data mapping and transformation is also passed.
  2. Phased delivery - Data warehouse implementation should be phased based on subject areas. Related business entities like booking and billing should be first implemented by the professionals of the list of engineering colleges Jaipur and then integrated with each other.
  3. Iterative Prototyping - Rather than a big bang approach to implementation, the Datawarehouse should be developed and tested iteratively.

Data Warehouse Tools

There are many Data Warehousing tools are available in the market. Here, are some most prominent one:

1. Mark Logic

Mark Logic is useful data warehousing solution that makes data integration easier and faster using an array of enterprise features. This tool helps to perform very complex search operations. It can query different types of data like documents, relationships, and metadata.

2. Oracle

Oracle is the industry-leading database. It offers a wide range of choice of data warehouse solutions for both on-premises and in the cloud. It helps to optimize customer experiences by increasing operational efficiency.

3. Amazon Red Shift

Amazon Red shift is Data warehouse tool. It is a simple and cost-effective tool to analyze all types of data using standard SQL and existing BI tools. It also allows students of best BTech colleges to run complex queries against pet bytes of structured data, using the technique of query optimization.

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