Selecting the Best Data Integration Platform for your Business

Adeptia Data Integration
adeptia.com

Data integration platform is becoming a valuable technology for not only managing structured or unstructured data but also to aligning people, processes, and technologies. Selecting a robust data connectivity tool is tough as the market is dense with innumerable players. Before investing on an integration tool, organizations should evaluate a lot of factors. To address integration needs, a data integration tool should combine transformational and legacy systems, foster innovation, and deliver consistent data across all channels.

Here are some next generation capabilities an integration tool must promise to ensure data delivery and data delivery across all channels

Business Intelligence (BI): Intelligence is no longer a business need but it is an imperative and business enabler. Organizations can make impactful business decisions by studying the intelligible information and augment the growth. For deriving the information, a tool should support diverse data models, predictive modeling, and Hadoop distributions. 

Master Data Management (MDM): A next generation data integration tool should support MDM capabilities.The tool can be used to build flows for data access and synchronization to bring data from customer facing applications, and partner networks. It should enable synergy across multiple digital platforms and endpoints. 

Uniform Data Access: Database-level consistency across applications, on internal and external systems in any direction. It should enable flexibility to ensure usability across digital touchpoints. Uniform data access prevents disruptions to business operations and ensure business continuity. 

Inter Enterprise Data Sharing: Organizations need to interchange data from external trading partners. This provides the ability to address rough integration challenges and accelerate the time to revenue. Modern data integration tool should support dynamic technical environment for seamless inter enterprise data sharing. 

Business Process Management: Advanced integration tools pack Enterprise State Bus (ESB) and Process management controls. Such controls support the entire data lifecycle management and also streamline processes. They establish a single source of truth to eliminate data duplication and manage processes. Advanced tools help in liberating data from silos and help users to gain more control over the processes. 

Data Lake Preparation: Innumerable problems can be solved with a data lake. A modern solution should facilitate semantic and consistent approach to optimise data quality. It should also help users in integrating nonrelational structures and disparate workloads. With a robust solution, even a business user can design flows for mapping and piping data across far flung corners and prepare a futuristic data lake. 

Data Migration: Data migration is another important feature of a data migration tool. A good solution moves data from one platform to upgraded version of an application. A data integration tool is expected to migrate information with automated performance optimization and metadata capabilities. Another relevant feature is service-oriented architecture (SOA) data service for enhances reusability. 

Pricing: It is important to evaluate an organization's pricing and sales channel. Cost metrics like performance metrics, toolsets, and offerings must be compared. The pricing should be studied in terms of future project and scalability requirements. CIOs should evaluate that how a vendor is offering dedicating horizontal or vertical capabilities to support end user interests and integration needs. 

Innovation: Next-gen integration requires synergistic layouts and templates for handling highly distributed data integration volumes. It needs to deliver optimal processing of transient data with advanced application integration approaches. Organizations should evaluate different use cases to know vendor centric capabilities that foster innovation.

The vendor should display an understanding of emerging technologies and business trends. Without market awareness they can’t ensure interoperability of systems and data quality. Tools should deliver metadata modeling, and address big data and data virtualization requirements. A good tool should provide the runtime functionality via a web services interface to manipulate and control the runtime environment.

Data Migration: Data migration is another important feature of a data migration tool. A good solution moves data from one platform to upgraded version of an application. A data integration tool is expected to migrate information with automated performance optimization and metadata capabilities. Another relevant feature is service-oriented architecture (SOA) data service for enhances reusability. 

Similar Articles

QA and Testing Services

Software testing services are quite necessary to design software that full-fledged meets the requirement and the purpose of software. If you are going to build an app then it must be necessary for you to go for testing phase as here you will get to know the compatibility issues

Active Ruby

Ruby is an object-oriented programming language that is pretty dynamic. Just because of its dynamic nature it has been being used in a wide range of fields, but it is best known for developing Web Applications, because of the Ruby on Rails framework.

A List of Responsibilities of a Software Tester

Given how entitled our lives have become with the progress in technology, it is not that surprising that most of us are oblivious to the significant contribution of software testers in our day to day life in this digitized existence.

Android App Development Company

Worldwide end users market share for the Android O.S is 80.7% and that of iOS is 17.7%. Here are the 7 reasons why you need an Android app Development Company.

Now we are at the mid of 2017 and it is already going by fast. It's now time to avoid summarizing the accomplishments that we have achieved in 2016 and commence observing the latest developments in the mobile iphone app testing sphere.

Robotic Process Automation

In the competitive world, organizations are integrated with many software solutions. There are lots of radical solutions are helpful for the organization in order to optimize an excellent workflow. Today, most of the companies are highly benefitted for the Robotic software tool.

Software System Testing

Software testing is always considered as the main component in software development lifecycle as it helps in detecting the bugs in the existing software and also helps in maintaining the software quality.

How to Update Outdated Drivers on Windows

Drivers on the computer are the essential software tools which help Windows operating system to interact with system’s hardware devices. Thus, it becomes important to keep these drivers updated all the time for improved system performance.

Custom binder ASP.NET MVC

Custom Model in ASP.NET can be created using Entity Framework, ADO.NET code or other data access tactics. While working on ASP Dot NET development for building the Model layer, declare Plain Old CLR Objects (POCO).