How Big Data, Clound and Hadoop Consultant in Saudi Arabia Tackling a chain of Emerging Challenges?

July 20, 2018

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Data has often been touted as a new "oil" - a product more expensive than any natural resource in the current digital economy. To be fair, oil and data are not comparable apples to apples. The data can "drive" an independent car, but you cannot fill the tank with other zeros. However, according to this analogy, the data has undergone similar stages of oil exploration and drilling.

Despite all the big data promises, many challenges have emerged during the demarcation phase and continue today as companies execute large data projects. According to Gartner, many organizations that have invested in big data projects are still stuck in the pilot phase. So what are the main challenges that cause these stalls?

Big Data Challenges

Traditional data storage systems have been weakened and analyzed under the weight of large volumes of unstructured data. Navigating the vast maritime data tools is a challenge, but let's focus on Hadoop, a solution at the heart of big data conversion.

While Hadoop solves many data problems, it also opens new challenges. Recognizing the potential of Hadoop, the harsh reality is that the implementation and management of Hadoop Consultant in Saudi Arabia are difficult and may ultimately lead to more problems than solved. The Hadoop learning curve can be challenged and the level of expertise required for each business line and usage situation, the company's internal data specialists and available IT resources.

In addition, the expansion of the Hadoop hypothesis could be difficult, requiring more investment in physical infrastructure - something many companies do not do. That's why many companies have migrated to cloud-based Hadoop solutions, including private and public cloud deployments and hybrids.

Challenges of Cloud Migration

Cloud-based Hadoop solutions enable organizations to extend their reach more flexibly while increasing their data needs. This can solve the problem of having to add more infrastructure over time, but as with any solution, massive data analysis to the cloud infrastructure generates a series of challenges.

These challenges consist primarily of ensuring the performance, reliability, accessibility and portability of the data. With large data and cloud applications, there is also an elephant looming in the data security room.

Think 5-10 years

Companies that rely on huge Hadoop data tools need to think about what to do next. This is especially true for companies that build their own big data platforms. Flexibility and scalability are essential because emerging technologies such as independence, artificial intelligence, virtual reality and Internet objects will generate new types of data faster than ever before. In the future, big data solutions must be as safe as possible, the last thing that

Engage or associate with appropriate experts

With oil drilling and drilling, the ability to maximize land investment and handling efficiency comes from the combination of modern technology with more specific expertise in local geology. As mentioned earlier, the implementation and management of Hadoop Consultant in Saudi Arabia can be difficult, and access to experts who understand the "geology" of individual institutions is the key to success.

Adopt a data-driven approach to security

Organizations need to remember that migrating massive data to a cloud infrastructure - public, private, or mixed - is the responsibility of data security, not the cloud service provider. Businesses need to think beyond ambient security and continue to identify sensitive, structural, and unstructured data, then secure them in Hadoop / Data Lake while managing them, and continually monitor data sources in the cloud.

Recent Ideas

While the huge data on the noise cycle has decreased, it has not disappeared. In fact, you will get a "bigger" only. Companies' desire to transfer massive data to the cloud will continue to grow as managed services grow. There are many challenges that come with all these things - but with the right strategy and insight, companies can maximize the value of really big data. Alrasmyat is one of the leading BI Company in Saudi Arabia. You can visit here for getting SAP BO Business Objects services in Saudi Arabia.

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