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Top 5 Key Challenges of Big Data Integration

By Nisha Sharma - January 27, 2023 4 Mins Read

Top 5 Key Challenges of Big Data Integration

For big data integration, having a skilled data management team is crucial as it ensures good decision-making and the ability to encounter multiple challenges.

The integration of big data sets is quite complex and needs a set of experts in the organization. As data set is an integral part of businesses, core challenges such as data analysis, curation, capturing, and sharing affect big data integration. Some of these challenges are-

Lack of Comprehension

When companies overlook the magnitude of their tasks and lose valuable resources, data integration is a significant challenge. As big data integration needs experts to handle, since a foolproof plan for implementing big data integration is simpler to develop when specialists are in charge of the integration process. The team should be well trained and made aware of new integration procedures because this is a significant transformation. To ensure that the rest of the team is aware of and on board with the process, the company should provide training sessions and workshops to the team members.

Also Read: Top Five Big Data Integration Strategies

Lack of Certainty

Many solutions are available to manage big data integration, further emphasizing the need for a universal approach to it. Each data management system has a unique method of operation that may not be suitable for a company.

The market provides various methods for expediting the procedure, while industry innovation and disruption produce a highly competitive market with a wide range of possibilities.

Uncertainty in data management has been caused by the wide variety of SQL developers and tools for in-memory computing and other jobs and by the erratic market.

Scalability Challenges

Future initiatives and opportunities will have a significant impact on the need for more storage and its availability. Realistically measuring this is challenging, and doing so could lead to under- or overestimating a cost need. Extensive data from several sources are combined into a single platform or system, causing big data integration initiatives to grow swiftly.

When this happens, the organization’s need for more processing power and storage space will also rise dramatically. An organization should consider using a “piecemeal approach,” in which each data item is examined separately before being assessed for value as part of a big data integration strategy. Data delivery is complex, but it may be simplified to be available on just one platform. Processing data sets enables transformation and extraction, ensuring data is accessible—a data integration approach.

Data Extraction

The next challenge would be that of synchronizing the data once it had been imported from varied sources to a single platform. Data from one source may need to be updated when the next batch arrives. A rise in customer needs, a new user accesses creation, or the requirement for this may alter depending on the organization’s process cycles. Assuring that data consumers have access to the most recent or updated data is a challenge regarding extraction in big data integration.

Also Read: Big Data Analytics Player Splunk Announces Three New Appointments 

Security Challenge

Big data integration presents numerous security challenges, mainly if the business is entirely unfamiliar with this integration process. Security needs to be taken into account at every stage of the process. As big data technologies are continually changing, ignoring security might cause significant risk and theft of data. Companies frequently disregard security features, nevertheless, in the hopes that they would be accepted once they reach the application level. In order to successfully integrate big data and provide beneficial outcomes for a business, security must be prioritized.

Companies can execute big data integration processes efficiently with comprehensive planning, knowledge, and expertise. They must consider above mentioned data integration challenges in order to use all the valuable resources.

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Nisha Sharma

Nisha Sharma- Go beyond facts.Tech Journalist at OnDot Media, Nisha Sharma, helps businesses with her content expertise in technology to enable their business strategy and improve performance.With 3+ years of experience and expertise in content writing, content management, intranets, marketing technologies, and customer experience, Nisha has put her hands on content strategy and social media marketing. She has also worked for the News industry. She has worked for an Art-tech company and has explored the B2B industry as well. Her writings are on business management, business transformation initiatives, and enterprise technology.With her background crossing technology, emergent business trends, and internal and external communications, Nisha focuses on working with OnDot on its publication to bridge leadership, business process, and technology acquisition and adoption.Nisha has done post-graduation in journalism and possesses a sharp eye for journalistic precision as well as strong conversational skills. In order to give her readers the most current and insightful content possible, she incorporates her in-depth industry expertise into every article she writes.

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