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Data Architect, data scientist and web analyst. Within and outside the field of marketing in the digital market, as professional profiles Big Data most requested by companies. When digital becomes the core business, explain why it is essential to have the strategic roles & # 39; data architect, data scientist and analyst web.
S & # 39; are the professional profiles related to the data analysis of the most sought after by companies? Why are they so requested? What skills should have? Before the arrival of & # 39; Big Data, we carry the structured information that we had stored in CRM or ERP of our company. Now we have additional information that is outside the corporate areas.
Miguel Ángel Blanco Cedrun, Business Spanish School Dean, "this kind of & # 39; unstructured data growing rapidly and to be helpful we need power & # 39; very high processing. It is estimated that forecasts data about Big data is multiplied by almost three at the end of & # 39; this year. From 3.1 Zettabytes was recorded in 2013 to 8.6 Zettabytes in 2018. it can & # 39; result increased demand for all profiles in Big Data. "
Currently we can say that there are three professional profiles related to & # 39; Big Data:
1. The data architect. He who creates the structure of the programs which is collected and processed information. Its main objective is to analyze the architecture of the systems to make improvements. Some of the skills that a data architect must have are focusing on the details, solving problems or the ability to simplify. These profiles have a background in computer engineering, mathematics, physics or telecommunications. Some of the tools to be managed as Hadoop, MapReduce, hives, Pig, Spark, FLINK, SQL (MySQL, PostgreSQL) and NoSQL (hives, Couchbase, Redi, ElasticSearch, Solr), advanced knowledge in & # 39; Java, Scala or Python. or advanced knowledge & # 39; of & # 39 structures; data, mining the data and applied machine learning.
2. Scientists data (data scientist). The data scientist analyze, interpret and communicate new trends in & # 39; this field and translate the company so they can use them and b & # 39; so adapt products and their services and create opportunities & # 39; new business. It is responsible for translating the information for analysts to make decisions. For profile data scientist, it is necessary statistical programming knowledge and do not usually have computer knowledge statistical normally use. Within this profile we distinguish oriented professionals to the field of mathematics and statistics and those from the field of artificial intelligence and machine learning. This profile should combine knowledge of mathematics, statistics and programming, and well also knows sector & # 39; activity of the company to operate it, as well as a good communicator to transfer -Data is interpreted.
3. The data analyst is one of the professional profiles most demanded by companies today. He who is responsible for processing information and obtain conclusions that help to improve results. These professionals are the ones who know how to remove models & # 39; & # 39 behavior; user and know why working with & # 39; any way. And this in the end is what companies look for, to know that fail to improve. Web Analysts are not only computer scientists, mathematical or statistical specialists, but there are many who come from careers such as advertising, journalism, business, marketing or careers & # 39; letters. Currently, all sectors need analysts who can interpret data and have & # 39; business perspective. F & # 39; this profile you need both knowledge & # 39; specific tools as well as business.
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