Architect data, data scientist and web analyst. Inside and outside the digital marketing field, the most professional Profiled Data Data Profiles are companies. When digital becomes the core of the business, we explain why it is essential to have the strategic roles of a data architect, data scientist and web analyst.
What are the professional profiles that are related to the analysis of the data for which companies are most requested? Why do they ask for them? What skills should they have? Before the advent of the Big Data, we could upload the structured information we had stored in the CRM or ERP of the company. Now we have additional information that is outside the companies' fields.
For Miguel Ángel Blanco Cedrun, Dean of the Spanish Business School, "this type of unstructured information is growing very quickly and so that we can be useful, we need a very high processing power. It is estimated that the Big Data data forecasts will be multiplied by almost three at the end of this year. From the 3.1 Zettabytes registered in 2013 to the 8.6 Zettabytes in 2018. This may exchanges more of call for every profile in the Big Data. "
At present, we can say that there are three professional profiles that are related to Big Data:
1. And the pensioner data. He who creates the structure of the programs that information is collected and processed. Its main objective is to analyze the architecture of the systems to make improvements. Some of the skills that a data architect should have is to focus on detail, solve problems or be able to simplify. These profiles have a background in computer engineering, mathematics, physics or telecommunications. Some of the tools that you need to manage are Hadoop, MapReduce, Hive, Pig, Spark, Flink, SQL (MySQL, PostgreSQL) and NoSQL (Hive, Couchbase, Redis, ElasticSearch, Solr), information advanced in Java, Scala or Python. or higher information from data structures, excavation of applied data and machine learning.
2. Data scientists (data scientist). The data scientist analyzes, interprets and communicates new trends in the area and translates them to the company so that they can use them and thus modify their products and services and create new business opportunities. It is responsible for translating the information so analysts can make decisions. For the data scientist profile, a programmer does not usually need statistical information and computer information that a statistician does not usually use. Within this profile, we distinguish between professionals related to the field of mathematics and statistics and those that come from an artificial information field and machine learning. This profile must merge information about maths, statistics and programs, and also know very well the activity sector of the company that works for it, as well as being a good communicator to transmit data that it is interpreted.
3. The data analyst is one of the professional profiles today's companies face most. It is responsible for processing the information and obtaining conclusions that help improve results. These professionals are those who know how to draw consumer behavior patterns and know why they are acting in a way. And this is ultimately what companies are trying to know what they can not improve. Web analysts are not just computer scientists, mathematicians or statistics experts, but there are many people who come from careers such as advertising, journalism, business, marketing or mail careers. At present, every sector needs analysts that can interpret data and get a business perspective. In this profile you need information from two specific tools and business.