The global data warehousing market is forecasted to reach $44.60 billion by 2026 growing at a CAGR of 10.2% from 2018 to 2026. The increasing volume of data businesses drives this growth. It generates the need for greater agility and faster decision-making in response to ever-changing market conditions.
Read on to find out the critical points of data warehousing you need to keep in mind.
What is data warehousing, and what are its key benefits?
Data warehousing consolidates data from multiple sources into a single database for reporting and analysis. The key benefits of data warehousing are that it allows businesses to:
- Consolidate data from various sources into a single database for reporting and analysis.
- Gain a unified view of their business operations.
- Make faster and more informed decisions based on real-time data.
- Improve operational efficiency.
- Reduce costs associated with storing and managing data.
The Different Types of Data Warehouses
There are three types of data warehouses: enterprise data warehouses, operational data stores, and data marts.
- Enterprise data warehouse (EDW) — EDWs are usually a collective of databases that offer a unified approach for consolidating and organizing data. These data warehouses also classify data according to the subject, making them highly efficient.
- The operational data store (ODS) — ODS is an excellent complement to an EDW. An ODS is a central database for reporting, controls, and decision-making. They are also data sources for enterprise data warehouses. An ODS refreshes in real-time, making it the preferred choice for doing routine activities such as storing records of employees.
- Data mart — Data marts are considered subsidiaries of data warehouses. Specific teams or businesses dealing with sales and finance primarily use them. Data marts are subject-oriented, making selective data only available to particular users. Defining the users with access can save a lot of time because there is no need to waste time searching through an entire data warehouse.
Things To Consider When Choosing the Right Data Warehouse for Your Business
When choosing a data warehouse, it is essential to consider the needs of your business. The three main factors to consider are:
- The type of data you need to warehouse
- The volume of data you need to warehouse
- The frequency with which the data needs to be updated
You also need to consider the budget and resources available to you, as well as the technical capabilities of your IT department. You will need to rely on them for this process, such as in other server-related tasks.
If you need help determining which type of data warehouse is right for your business, consult a data warehousing vendor or an IT consultant. They can help you assess your needs and choose the right solution for your organization.
The Process of Loading Data Into a Data Warehouse
Loading data into a data warehouse can be complex and time-consuming. The first step is to identify and extract the data source from the source system. The data is then cleaned and transformed into a format compatible with the data warehouse. Once loaded into the data warehouse, you can use it for reporting and analysis.
Managing and Analyzing Data in a Data Warehouse
Once data is loaded into a data warehouse, it needs to be managed and analyzed. You can do that by using a variety of tools, including:
- Data visualization tools – These allow you to create charts and graphs that help you understand the data in the data warehouse.
- SQL query tools – These let you run SQL queries against the data warehouse to get insights into your business operations.
- Reporting tools – These allow you to create reports based on the data in the data warehouse.
Using these tools, you can gain valuable insights into your business operations and make better decisions based on real-time data.
The Future of Data Warehousing
The future of data warehousing is exciting and full of potential. With the growth of big data, businesses will need to find ways to store and manage this data. They have to do it in a manner that allows them to make informed decisions and compete in today’s digital economy.
Data warehouses are essential to keep and managing big data. Their usage will become even more critical in the future.
