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Top 5 Big Data Challenges With Solutions

Most organizations are facing challenges related to big data in terms of volume, velocity, and <br>variety. Big Data challenges involve the best way of managing a huge amount of data that <br>includes the process of storing and analyzing the massive set of information. There is no <br>denying the fact that big data has already been considered a game-changer for organizations.<br>

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Top 5 Big Data Challenges With Solutions

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  1. Top 5 Big Data Challenges With Solutions Most organizations are facing challenges related to big data in terms of volume, velocity, and variety. Big Data challenges involve the best way of managing a huge amount of data that includes the process of storing and analyzing the massive set of information. There is no denying the fact that big data has already been considered a game-changer for organizations. So what exactly is big data? All of the services that are constantly collecting and processing huge amounts of diverse data are known as big data. It is basically a word that stands for an explosive surge in data and the emergence of advanced tools and techniques to unveil patterns in it.

  2. Well, there are several other factors that contribute to the complications that surround Big Data. In this article, we will be discussing the top 5 big data challenges and the solutions that can be utilized to counter these challenges. If this data thing interests you and you are thinking of making a career in it, then you can get enrolled in the best data science course online offered by Data Folkz. You will be trained under the expertise of trained and skilled professionals. Top 5 Big Data Challenges Lack of Skilled and Knowledgeable Professionals Organizations are always in search of skilled data professionals who are capable of running these modern technologies and large data tools. These professionals could be data analysts, data engineers, or data scientists that work with the tools and make sense of enormous data sets. As a matter of fact that the data handling tools have grown rapidly, but the professionals are lacking the required skills. Solution Companies are focusing on investing some extra capital for the recruitment of trained professionals or providing training programs to existing employees. If you are looking forward to pursuing the best data science course online, then you must get in touch with Data Folkz as it is the #1 AI-driven institute in India.

  3. Data Growth Complications Storage is one of the principal pressing challenges related to huge data as the overall quantity of knowledge being stored in data centers is increasing rapidly. The continuous growth of these data sets is oppugning to manage. Solution Modern techniques such as data compression, tiering, and deduplication are used to manage such an enormous amount of data set. Here, compression deals with the reduction of the number of bits within the data. Furthermore, deduplication refers to the process of the removal of duplicate and undesirable data from a knowledge set. Finally, data tiering is a process that allows organizations to store data in several storage tiers. Infusing Data from a Spread of Sources Data can come from anywhere, ranging from financial reports, employee-created reports, emails, ERP applications, social media pages, or even customer logs and presentations. What comes as a challenge here is the combination of all this data and it is unavoidable as it helps in analysis, business intelligence, and reporting. Solution Organizations are suggested to purchase proper tools that can help in data integration. Some of the best tools present in the market are ArcESB, CloverDX, Microsoft SQL QlikView, IBM InforSphere, Talend Data Integration, Xplenty, and Centerprise Data Integrator.

  4. Security of Data This goes without saying that the security of these massive sets of knowledge acquired is yet another challenge. Data security is not a process that can be delayed for later stages as the unprotected data can allure hackers and a knowledge breach is not appreciable for any company. Solution Hire cybersecurity professionals to safeguard the data and other measures including Data Segregation Identity and access control implementation. Stupor While Big Data Tool Selection Organizations often get confused while selecting tools for data storage. Being unable to decide what’s best for them, they waste money, efforts, time, and work hours. Solution The best thing you can do is to hire professionals. Try hiring professionals with their education and learning backed by top institutes that offer data science, machine learning, and artificial intelligence course. Conclusion As the field of technology is growing, data will grow proportionately faster. Hence, it won’t be a mistake to make a career in the growing field. Get enrolled in data science and the best artificial intelligence course at Data Folkz and give your career the boost it requires. Become irreplaceable to your organization and work as an asset to the company.

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