Denodo Data Virtualization

Who doesn't like to access data easily through the devices they love? Everyone, right? However, setting up a whole data warehouse is often cost-consuming to access data from different sources. Also, employees feel reluctant to seek help from the IT department again and again, and even after all these struggles, the process itself is very time-consuming. The answer to all of these problems is Data virtualization. It enables users to access each kind of data such as siloed data, disparate systems, IoT data, and many more through a single customer view. It helps organizations make critical decisions quickly and improves the overall efficiency of the department at an affordable cost.

For efficient data virtualization, you will require a Data virtualization tool. Denodo documentation is a leading Data virtualization platform, also the only platform in the industry that contains a dynamic data catalog. They rule the world of data virtualization, and if you want a decent and trustworthy virtualization partner, you must go for denodo. We will discuss more with Denodo with a comprehensive overview.

What is Data Virtualization?

Remember the days when data was governed by IT professionals only. With the advent of Data virtualization, we have discovered that we can access data in real-time without seeking help or guidance from IT professionals and that too on the convenience of our own devices. Data virtualization is an approach to managing data; it allows applications to access data without figuring out its technical details. ETL is the conventional process, i.e., extract, transform and load. If you wanted to access data in ancient times, the users had to go through this process. It was complicated and time-consuming.

Some even call Data virtualization a Data-as-a-Service(DaaS). And it is also entirely accurate; many leading data virtualization service providers are in this business, such as Denodo, AWS Glue, Oracle virtualization, and many more. The aforementioned ones are the most prominent and the most reliable software for data virtualization.

Data Virtualization and Data Warehousing

The name Data Warehousing itself gives a vague idea about this process. Data warehousing is a process to collect, manage and process big chunks of data to unearth meaningful insights out of them. Data Warehouse is the core of any Business Intelligence system because BI is created for data analysis purposes. Without data warehouses, we will be left with a big dump of data without any real-time insights. 

Data virtualization can easily process the data present in data warehouses, which is quicker than data warehouses. However, the only demerit of data virtualization is that they are not built to process massive data warehouses. It was created to produce quick and timely insights to alleviate users from the conventional way of accessing data, such as ETL and data storage.

How Does Data Virtualization Work?

Data virtualization takes the help of two technologies to provide data scalability and flexibility to an enterprise. These two technologies are:

• Data Federation - They connect multiple databases and show them as a single database. This way, the user can feel the well-needed flexibility to query data.

• Analytical database Management - They provide scalability to data virtualization. As analytical databases are available as data warehouse tools and with almost no effort, it relocates data to analyze in this virtual layer.

Why Data Virtualization?

Data virtualization is a critical part of an organization, and you can not overlook its importance. We live in highly competitive times, and therefore, if a business wants to thrive in such cut-throat competition. They will have to do everything required to survive. And data virtualization is one of those core elements necessary to survive in the market.

A business creates a lot of data, including the details of customers, employees, history, and much more. And analyzing these data silos can help an organization identify flaws to take necessary actions. Moreover, not only flaws but hidden opportunities also. Therefore, data analytics professionals bag huge packages because their need is at their peak. 

In addition to that, data analysis can not be done without data visualization. You can not expect it to happen. Why? Because it will be very time-consuming for the professionals. And it can cost an organization lot of money and time also, which they could have invested in some other important work operations. As you know, data virtualization can reduce redundancies. Check out some of the benefits of data virtualization:

1. Profitable
2. Risk Reduction
3. Efficiency
4. Timely solutions cause work acceleration 
5. Scalability
6. Flexibility
7. Data governance

What is Data Governance?

Data Governance is not very distinct from data analysis. In data analysis, a team of data scientists analyzes data, whereas data governance manages data availability, usability, quality, and protection. In every organization, there is a data governance team, and they govern data according to the data standards and policies provided to control data usage. The main benefit of effective data governance is that they ensure that Data is consistent, trustworthy, so it doesn't get misused. 

Every organization keeps a data governing team, which acts as a data governing body and includes a bunch of data stewards. They create policies and standards required to govern Data. Without an effective data governing team, data inconsistencies across the organization will not get resolved, and it may create new and silly issues. For example, names of customers may get listed in product columns. Such issues will create huge working errors, creating havoc across the whole organization.

Benefits of Data Virtualization

Data virtualization provides a lot of admirable benefits. Let's check them out:

• A cheaper and quicker option: Replication of Data is time-consuming and expensive too. With data virtualization, you can use its zero-replication approach to receive timely information without any investment in additional storage.
• Data Protection: To prevent users from changing data unintentionally, Data virtualization allows CxOs to protect significant source systems from users and applications.
• Increase Productivity: As you may know, Data provides real-time insights. This helps businesses to retrieve information about their data while working on other operations. This increases productivity and also enhances efficiency.
• Easy to use: Data virtualization is 90% faster to execute since it takes less effort to start.  Moreover, the technical data of the file is not required to access data for analysis. Therefore, you don't have to be an IT professional to access real-time data insights.
• Improved data analysis: Data virtualization does not require any storage to access data. Also, there is no need for a source to access. Plus, it replaces the traditional way, i.e., ETL. This helps the data scientist to focus on other crucial work operations such as data query and analysis.

Why Denodo?

Denodo, a data virtualization tool, is a leading and reliable brand in the market, and it delivers outstanding performances in big data, logical data warehouses, and operational scenarios. Let's dig into the benefits of using Denodo data virtualization services:

• Big Data: Denodo data virtualization architecture enables big data; they have the most advanced optimization techniques for big data. And to minimize traffic, its Dynamic Query Optimiser automatically executes, the "move processing to the data" paradigm. 
• Broad connectivity: The Denodo data integration is competent enough to provide connectivity to any data source, even if it is unstructured or structured. Its high performance is optimized for all kinds of sources, including relational databases, multidimensional databases, Hadoop, NoSQL (document, graph, key-value, triple, columnar), streaming data, flat files (such as EXCEL), web services, documents (Word, PDF), email, and many more.
• Supports a wide range of use cases: Denodo data virtualization supports a wide range of use cases and beyond the conventional analytical use cases which are supported by most of the data virtualization products. Data virtualization tool denodo supports multiple big data use cases, operational use cases, Web integration use cases, as well as more traditional data management use cases.

Data Virtualization Importance

Maybe some of you are still not convinced. We shall further read more about the importance of data virtualization:

• Increased complexity of businesses: Most CEOs and business owners forget about data analysis when they are scaling their businesses. And it is quite often observed that the complexity of a business is equally proportional to the scalability of business. As the business grows, more complex and difficult issues arise. One of them is increased databases, and for that, we require data virtualization for real-time insights and easy data analysis processes.
• Increasing data volumes: You can not suppress data volumes, day by day, it will increase, and soon it will become a massive mountain of data. For that, we require data virtualization. As you know, the ETL process is time-consuming. At the same time, data warehouses are expensive and complicated to use. Therefore, for productivity, we need data virtualization.
• The increasing importance of data analysis: Organizations have understood the importance of data analysis, and therefore, they invest millions of dollars just to get valuable insight out of huge databases. And with that, the importance of data virtualization is also on the rise to quickly access data insights.

Conclusion

Every organization requires a great team to analyze its data. Suppose they have advanced technology of data virtualization. In that case, it may augment the overall working process of the organization, as you may know, efficiency and productivity are two critical elements of a successful organization. Therefore, if you want scalability, flexibility, and productivity in your organization, you can not overlook Data virtualization.