Why train at Big Data?

Have you recently wanted to take a training course on big data? This new way of gathering a large amount of data and analyzing it for the benefit of the companies that collect it is becoming increasingly labour-intensive. The techniques used in big data are both precise and numerous. Therefore, it is necessary to take training in this field in order to specialize and to be able to find a specialized job.

Reminder sting: What is big data?

The big dataLarge data” is a term that describes a large volume of structured, semi-structured and unstructured data that has the potential to be exploited for information and used in machine learning projects and other advanced analytical applications. Big-data is often linked to voluminous data, the statistical analysis of which influences a company’s decision-making process.

Large data sets are often characterized by 3V the volume extreme of the data, the large variety data types and the speed at which the data are to be processed. These characteristics were first identified by Gartner analyst Doug Laney in a report published in 2001.

More recently, several other Vs have been added to the descriptions of major data, including the veracitythe value and the variability. Although large data do not correspond to a specific volume of data, the term is often used to describe the terabytes, petabytes and even exabytes of these megadata captured over time. Data collection, data storage and analysis of this digital data have a significant influence on the digital transformation of businesses, including in the case of inter-company collaboration.

Some examples of big data adapted to companies

Big data is highly developed in the professional life of large companies. Whether or not supported by a blockchainThe data analyst must be aware of all the concrete aspects of this notion in order to nourish a reflection, a business intelligence, in his sector of activity. As an example, let’s mention some particular branches of information found in big data :

Big data and benchmarking

Benchmarking applied to big data involves the cross-examination of user behavior metrics and observation of customer engagement in real time to compare a company’s products, services and brand authority to those of its competitors. This analysis is fundamental to the development and decision-making of a company, which relies on digital marketing to develop its competitiveness.

Big data and listening to social media

This is information about what people are saying on social media about a specific company or product. The analysis therefore goes beyond what can be disseminated in a survey or poll. Big data then allows for a predictive analysis of consumer behaviour, which is very useful in case of a digital transformation of the company. This is probably one of the most developed uses of big data. This data can be used to help identify target audiences for marketing campaigns, offered in different environments, by observing activity around specific topics through various sources.

Big data and marketing analysis

This is information that can be used to make the promotion of new products, services and initiatives more informed and innovative. The various data available are then put to use in decision making. Thanks to the various analysis tools, project managers can improve their customer knowledge and put these studies to good use. When companies manage to collect large volumes of data, their decision-making capacity is greatly improved. The collection of massive amounts of data for marketing purposes, using cloud computing, is a good example of what big data can bring to different companies.

Big data and customer satisfaction

Who said that customer satisfaction was not important for a company? In this respect, the flow of data from the big data is also important! All the information gathered by the different data sources can reveal what customers think of a brand, whether potential problems may arise, how brand loyalty can be maintained, and how customer service efforts can be improved. In other words, the presence of massive data through different technological processes is a true support to a company’s business strategy.

Why is big data training interesting?

The entire big data field is booming, and many organizations are actively seeking the right talent to analyze large amounts of data. This is largely due to the fact that big data, if used properly, can transform businesses and give them a competitive edge. In order to develop new skills and facilitate entry into a promising field of work, there are skills trainingIn the classroom or at a distance, which allow the acquisition of specialisation and certifications in big data. Accessible within the framework of initial or continuing training, a IA training and in the field of big data may be useful in the context of professional retraining.

To successfully manage and process large amounts of data, various organizations and companies depend on new data visualization tools and new technologies that require niche expertise and therefore a specific training path.

photo speaker big data

Big data could open up 4.4 million jobs by 2022

According to the information technology research and consulting firm Gartner, big data will create more than 4.4 million jobs by 2022, providing many opportunities for data-hungry analysts, computer scientists, mathematicians and other job seekers. A professional project specialising in data management and big data therefore represents an excellent training path, as data processing will be the focus of all training in the years to come.

Despite this explosion in demand, organizations currently lack experts who can understand unstructured data from mobile devices, sensors, social media and other sources. To minimize the talent shortage, many universities and specialized training institutes offer advanced courses that provide the skills needed to manage and analyze big data. For example, teacher-researchers may be called upon to attend a conference of the grandes écoles in order to further the professional training of students enrolled in degree courses. The professional training must also be based on legal concepts relating to data protection, which must be taken into account in project management within a company.

Specialized big data programs to facilitate the integration of specialists

Some colleges have also established graduate programs in the area of data analysis, which would better prepare students for careers in the big data field. There are also specialized training organizations that offer big data training like Octopeek. Thanks to this offer of training, young graduates have no difficulty in entering working life. A certified training course covers all the expertise related to big data. The training programme therefore generally includes the prerequisites related to data mining, data processing, statistical learning and the study of relational databases, which will be very useful for the student’s professional career.

In the past, strong computer skills were very popular in the defence and technology sectors. In those days, it was a matter of tailor-made training. As large data technologies have become cheaper and more readily available to businesses, more sectors have joined the movement and competition for large data talent has intensified. Studies of relational data and data signal processing have become a real issue, leading to increased employability within the framework of an open-ended contract or professionalization contract. It is necessary to benefit from training throughout the year in order to reinforce one’s professionalization, and to be able, thanks to one’s trainer, to intervene in any company by putting forward one’s skills in big data. Some organizations also offer online training such as the ncc big data training.

Which companies are looking for big data experts?

Currently, e-commerce companies and social media services are leading the demand. The science of algorithms requires consultants who can put their skills to work for companies and the analysis of their data.

Other sectors looking for big data skills include food manufacturers, retailers, consulting companies, gaming, online travel, consumer credit, telecommunications and insurance, according to a report published by career site Dice.com.

Thus, it can be really interesting to place big data at the centre of one’s curriculum. The pedagogical assets of the training provided (whether it be online courses or training obtained by a jobseeker through a Personal Training Account that could take care of the tuition fees). In all cases, an information meeting can allow the person to discover these new jobs coming out of the big data, and to compare their professional experience (acquired through experience) with the specialised knowledge that is required by companies today.

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