Digitalization of any business primarily focuses on gathering all digital resources of corporation, including independent companies, in one huge data storage.
Establishment of single hardware data storage that contains all data of all departments is related to huge expenses and issue towards migration of a big number of data.
Establishment of single hardware data storage that contains all data of all departments is related to huge expenses and issue towards migration of a big number of data.
● Struggles you Can Face
— Impossibility of quick data integration to rapidly search information from various resources
— Traditional integration tools and services provide batch, scheduled data
— Lack of support for complex data types
— Insufficient capacity of storage equipment
— Traditional integration tools and services provide batch, scheduled data
— Lack of support for complex data types
— Insufficient capacity of storage equipment
● we have a solution
Tec Infosystems offers the innovative integration method building on Denodo Platform that meets modern requirements and gives a grounding for solutions in the future
● What Features Are Included in Denodo’s Data Virtualization Solution
- Our integration strategy based on data virtualization implies not data immigration into new place for their consolidation, but real-time forming of consolidated data that physically remain in their sources.
- Advanced solutions for data virtualization form access level to information for using within the whole organization and providing universal plug to all key data sources.
- The employees who need access to information make a request for a virtualization level which withdraws necessary data from specific source. As a result, virtualization level hides unnecessary technical details as placement and data format affording an opportunity to ask any questions, get answers to them and forget about difficulties across low-level API that are applicable for task solution.
- Using such solution business employees interact with app, web-portal or another realization of user interface receiving appropriate data from virtualization level.
The architucture of such solution is presented on the scheme below: data virtualization is placed between all data sources, users, apps and etc.
Replicating is not produced upon data virtualization. That’s why virtualization level doesn’t contain data: there is only metadata that is necessary for access to different sources
The virtualization level performs the functions of transformation and data quality contol, simultaneously provoding the real-time work with less expences, higher access speed and better flexibility
The virtualization layer is:
- resource-intensive
- realization simplicity
- easy implementation of corporate-wide system of access control to data instead of realization of such systems for each data source
Virtualization allows to totally substitute traditional processes and data integration systems on the basis of display windows and data storages or complement them with new options
It performs functions of central node to which developers can plug API for access to different data sources of different structuring degree
The enterprise IT-systems can be connected to different layers of information
The data virtualization level ensures abstracting and forms data services easily integrated with:
- primary and temporary data sources,
- ETL processes, ESB,
- middleware,
- on-premises and cloud apps
- different devices
● Five Types of Solutions for Data Virtualization
With the growing popularity of data virtualization solutions some of their options can be included in other products or can be offered in the form of built-in modules or additional features. That’s why it’s crucial to distinguish complementing and realization built-in facilities from fully-featured enterprise platforms of data virtualization that provide necessary access level to data all over corporation.
Such functions are usually built in business intelligence (BI) tools. Blending mechanisms allow combination of several sources for data transmission to BI tools, but combined by this way data are not available for other apps
Data storages and data integration packages suppliers usually afford such modules for extra charge. They give improved data modelling and transformation functions, but they are characterized by low total capacity and leave much to be desired in terms of query optimization, caching, security and support of unstructured data sources. Previously mentioned drawbacks are conditioned by the fact that such modules are usually designed for ETL processes protyping or master-data management tools
It’s a new system category offered by big data and Hadoop distribution kit suppliers. Such systems virtualize processes across big data and allow to connect relational data sources and unstructured files into them, forming requests in SQL language. Such kind of mechanisms are able to work big data technology stack
Such service type contains built-in integration mechanisms with the SaaS-products, cloud apps, bases and some kind of on-premises tools like Microsoft Excel. As distinct from the solutions for real data virtualization with multi-level representing and delegated query execution, these services open access to standartized API, facilitating data exchange with cloud sources in medium-scale projects. However, their capabilities are insufficient for project realization related to big data analysis, critically important enterprise systems, mainframes, large data bases, unstructured files and data.
They are initially created in order to provide with an opportunity of data virtualization by means of single abstraction level connecting many users to many sources. Data virtualization platforms are designed for flexibility assurance and high operating speed in the terms of wide range of appliance, regardless of data source specificity and their users. Such platforms ensure higher efficiency, in contrast to the solutions based on middleware layer, and are capable to interact with them.
● What Advantages You Get with Data Virtualization
Find out more about key benefits of data virtualization allowing extend capabilities of a traditional solution for data integration or its full substitution:
- Platform maintenance costs less than traditional integration tools
- Acceleration of data management processes
- Capability to complement traditional data storage
- Provision of maximum performance
- Ability to use business intelligence without assistance of IT-specialists
- Secure system of enterprise content management
- User abilities for independent search and data analysis
- High profitability of investment
- Better capacity of flexibility than traditional integration tools
● Why You Can Trust Tec Infosystems
Our company is focused on giving you stability and innovations with implementation of IT enterprise solutions based on your business demands and goals
Expertise includes cloud and on-premise implementations
Team consists of skilled and experienced specialists
● contact us
We are here to guide you in every step of the way in your project.
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