Due to the lack of advanced real-time analytical skill among IT workers, enterprises are opting for managed Services to make up for this. With the shortage in the advanced real-time analytics skilled IT personnel, there is a huge demand for them. This has become a menace for Enterprises as these professionals can demand what they like as they come in such short supply. To solve this problem of paying exorbitant prices, managed services companies have come up with a solution that can be implemented at a fraction of the cost of hiring top professionals.
The need for open source big data platforms is only going to increase and this will drive up the demand for the professionals trained in this discipline. Many enterprises are facing problems with hiring and retaining these IT professionals as it does not make sense from a financial standpoint. As a result of this, many companies are turning towards third-party managed service providers. It is crucial for organizations to opt for an open source service provider to avoid getting stuck with just one service provider due to an incompatible infrastructure.
Managed service providers like Instaclustr can be deployed on many different cloud services like Amazon Web Services (AWS), Google Cloud Platform, Microsoft Azure or IBM Cloud to avoid any confusion regarding lock-in concerns. Another issue with employees is that they cannot be active 24/7, they have to go home at the end of the day and are off during weekends. These services are active all the time with little or no downtime.
Data collected by an organization, be it internal or external, is an asset that plays a major role in making well-informed decisions based on statistics. Most Organizations are now coming to terms with this fact. Instead of using a small part of the available data like around 10%, it is better to use the complete data as it can drive better decisions and it will always be more accurate.
The ability to be cost-effective in aggregate and analyze large data is spearheading the new wave of Artificial Intelligence application that is based on Algorithms and Machine Learning. Big Data platforms are extremely cost-effective in processing large data.
Data Speed Growth is improved by Managed Services
The second concern is the speed at which the data is being generated. The most ideal scenario for organizations is to process data in real-time. To achieve this, many organizations are investing heavily in tech platforms like Kafka and complimentary streaming analytics applications. Due to the volume of data that is involved, organizations are using a hybrid approach. This approach involves both the network edge and cloud platforms to maximize the data processing speed. At present, Big Data platforms are too large to be deployed at the network edge. This has forced Managed IT Service Providers in Manhattan and other cities to weave together a portfolio that compliments the network edge with cloud services to ensure that they harmonize and operate seamlessly.
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