top of page
donogipincautu

Data Synchronization For Flexible Back-End Integrations



Disruption is the new normal, so you need your business to adapt quickly to rapidly changing market conditions. As you increasingly rely on software systems and large volumes of data, flexible and scalable connectivity enables operating with greater agility. However, the complexities and cost of connecting diverse digital assets across the enterprise can limit the value of digital connectivity. With API-led integration, TIBCO helps create seamless interoperability across your business to quickly boost operational scalability and flexibility to meet and solve new challenges cost effectively.




Data Synchronization For Flexible Back-End Integrations




Brands can also link Fabric to third-party integrations or build a custom solution. With over 300 API endpoints, Fabric lets web developers create differentiated business models and experiences. Fabric promises users can connect its headless APIs with any back-end system, user interface, or customer experience.


Data synchronization is a critical part while developing a mobile application. You have to carefully analyze the use cases for your application and know what applies best for each. Are your mobile users going to read data only? Do they modify existing data?


Remote synchronization occurs over a mobile network, while local synchronization involves computers, devices, and systems next to each other. An efficient system ensures all organizational data is consistent throughout the data record. Therefore, the changes must upgrade and reflect through every system in real-time if any modifications occur. It prevents mistakes and privacy breaches and ensures the availability of up-to-date data.


Database synchronization establishes data consistency between databases and automatically copies changes back and forth. Data harmonization over time occurs continuously, and the most trivial case is pulling data from the source database to the destination. It means changes made to the source (master) database should apply to the target database.


Having the same data appear across different applications is essential for individual teams. Still, without cohesion and synchronization, manually re-entering updated data in apps leaves employees overwhelmed and prone to errors leading to further discrepancies.


The essence of data synchronization grows with increased access to cloud-based data and mobile devices. Mobile devices have permeated all organizations, leading to many new problems and solutions. These devices use data for their basic operations and personal information for websites, email, and apps.


Therefore, updates to the information users generate and the end target must be constant and secure. In addition, the synchronization process requires clean, consistent, and updated data for product and service competence and data governance issues such as security and regulatory compliance.


Conflicting data can result in low data quality and errors, leading to a lack of trust down the line. Proper implementation of data synchronization across the system ensures the organization sees an improvement in performance in many areas, such as:


Synchronization also helps with hybrid integration where data is stored on-premises and in cloud services such as Microsoft Azure, AWS, or Google Cloud Platforms. Processes like AWS data synchronization or Azure data sync handle data enrichment, filtration, transformation, and aggregation before transferring and storing it, and vice versa. This occurs in real-time while maintaining data accuracy and consistency and without interrupting business operations.


Data replication is used when storing data in repositories like data warehouses. However, updating the data requires real-time synchronization. For example, during a disaster recovery scenario, an organization will need an up-to-date data snapshot, so if it regularly syncs its backups, it will avoid substantial data loss.


Veritas provides NetBackup data synchronization through SyncNetBackupData. It calls in the API whenever an asset gets flagged for synchronization. The System Update then picks up the marked asset. The process imports the images and protection before recalculating traffic light status.


With SurrealDB, specify your database and API schema in one place, and define column rules and constraints just once. Once a schema is defined, database access is automatically granted to the relevant users. No more custom API code, and no more GraphQL integration. Simple, flexible, and ready for production in minutes, not months.


SurrealDB is a flexible, developer-friendly, fully ACID transactional, realtime document-graph web database for serverless applications. Never again worry about database provisioning, scaling, sharding, replication, or correctness.


An API integration is the connection between two or more applications, via their APIs, that lets those systems exchange data. API integrations power processes throughout many high-performing businesses that keep data in sync, enhance productivity, and drive revenue.


What is backend programming for mobile devices demanding from the technology? Mobile apps need solid data synchronization as well as a notification and alert system. Backend technologies for mobile apps that enable notifications and synchronization are:


Such system integrations are necessary to enable different tools or systems to accomplish multiple functions from the same data set. The advantages provided by modern cloud applications have made them indispensable for the effective operation of any fast-developing business. With multiple cloud applications such as CRM, ERP, accounting tools, and many more needed for carrying out the daily operations of organizations, bidirectional data sync helps reduce the manual efforts required to support the vast suite of business tools and ensures that every data within the system remains accurate and updated. An ideal bidirectional system synchronizes every dataset and eliminates all redundant data in the network.


Bidirectional data sync achieves this through Field Mapping and Sync Architecture. Field Mapping is the fundamental pillar behind any successful data synchronization. It creates the outline for which data of a record needs to be selected and to which respective field it gets mapped in the other applications. For a basic mapping procedure, several fields in a record get selected that are common across the applications, and then the data is copied between them. Any error or loopholes in the mapping process can lead to unwanted unpredictable outcomes and can also cause a synchronization loop where the data repeatedly jumps back and forth between applications. Thus, accurate field mapping is essential to ensure a two-way sync.


The second important part is the Sync Architecture or the design of the sync process. When performing a data sync, there are two standard processes of implementing it, Data Polling and Webhooks. In data polling, a data source gets regularly polled for updates. Those updates consist of all the records that have been newly created or modified since the last synchronization. Some solutions also provide a list of removed records, which allows users to synchronize removals as well.


Webhooks are also leveraged for synchronization and operate similarly to data polling, but instead of having to regularly check for updates after a specific time interval, the application notifies users of the recent updates, and then the data sync is performed. Webhooks are a more effective synchronization architecture, but only a select few applications in the market support it.


Bidirectional data sync provides advantages to a business, ranging from enabling new functionalities to a reformed workflow that can empower companies to deliver to the market faster. The most common benefits bidirectional synchronization provides include:


Bidirectional synchronization allows every team member across a company to operate off the same set of up-to-date and accurate data and collaborate efficiently across different platforms by creating an environment of cross-departmental involvement. By creating a unified data environment, any inconsistency and misalignment among teams gets eliminated and focuses them to align their operations with the business goals. Bidirectional data sync enables improved monitoring and collaboration between teams and helps organizations avoid backtracking and reworking previously completed tasks entirely due to data inconsistencies.


Marketing and sales are two departments in an organization that require the most inter-team collaboration to ensure perpetual successful lead conversion. Any discrepancy and delay in communication between the teams can cause failure to convert new leads or even cause loss of existing high-value customers. The biggest hurdle towards seamless communication between the two departments is the lack of shared and accurate data on leads and target accounts. Bidirectional synchronization between the CRM and marketing automation solutions helps resolve the communication gap between the two departments by enabling marketers and sales reps to view the same data at any point in time without having to leave their everyday use tools. The two-way communication also allows each team to share their distinct inputs and observations regarding a lead.


One of the most important aspects of a sensor measurement system is the degree to which you can correlate in time the data acquired from multiple channels. If your data is not appropriately correlated in time, or synchronized, then your analysis and conclusions from your test data are inaccurate. NI has designed NI SC Express devices to ensure high-performance synchronization. The following sections explain the synchronization concepts and how you can take advantage of them.


Although the under-the-hood details of reference clock synchronization are complex, NI-DAQmx makes using this sophisticated synchronization technique easy. NI-DAQmx automatically performs reference clock synchronization (along with trigger skew correction) on supported devices anytime you create a multidevice task. This means that acquiring synchronized data from multiple devices is as simple as acquiring data from a single device. 2ff7e9595c


0 views0 comments

Recent Posts

See All

Comments


bottom of page