BeData data in 10 professions 1 INTRODUCTION There are more and more data professions. A video and a glossary complement this comic. These medium make it possible Given that the amount of data collected by companies has increased consi- to materialise the data value chain: like an industrial chain, it is evident that at derably over the past 20 years, data professions are more numerous, varied, each step of data processing a different profession intervenes. It is important to but also promising. To understand this constantly changing world, let’s explore specify that depending on the size of the company, its geographical footprint 10 key professions in a «DATA CENTRIC» organisation. This comic was (France / International), its sector / industry, its organisation (rather centralised / designed as part of the classification, and clarification work of data professions decentralised), some employees may “combine” roles or, on the contrary, many by the Data commission of Syntec Conseil. Its aim is to serve as benchmarks. other more specific roles exist (for example in banking, Data Marketing or even within ISDs). Enjoy your reading! 2 3 Our student apprentice is about to arrive. I’ll greet her. Let’s go ! I’m going to impress her! She will be speechless after my presentation! Come on, I’m going to be clear and precise while remaining cool! Good presentation Who’s this? is part of the This is our young and basics. 4 brilliant student apprentice ! 5 Welcome ! You wanted to discover data professions? Good, good! Pay close attention ! Open your eyes and listen carefully! And be careful to where you set foot. Well, here is our first My dear, Of all of us, Like Not bad... Do data hero… let me introduce you he is probably the one C++, SQL? you know of any to our… who speaks the most different languages! others? … Without R, PYTHON… … MATLAB… forgetting Julia! 6 7 He develops Hmm! Okay, He processes raw data He is above all a the infrastructure defined I think we collected both internally and computer specialist! with the data architect. got it! She knows externally. a thing or two... Let’s proceed! He ensures And makes it evolve Then he has to speak the maintenance… according to the latest a lot of languages… technologies and new The Data Engineer develops the infrastructure defined by / with the Data Architect. He builds robust technical solutions (via robustness tests) and reliable. He ensures their maintenance and upgrades in accordance with safety constraints. solutions. Indeed! He integrates data of various kinds that come from these multiple sources, supervises them and checks the quality of the The data data. In production, he ensures the follow-up and monitoring of data flows / interfaces. He also ensures that his work is sufficiently documented (programs, interfaces, inputs / outputs, formats, etc.). mechanic Levels & Types of Training Training New The Data Engineer is above all a computer specialist. • Pro Expert Masters in Computer Science, technologies He must master a certain number of languages, technologies Business Intelligence and Big Data option (Lyon) and and methods: Python, SQL, ETL and its “modern” versions • School 42, Jedha Bootcamp… NoSQL (Hive, Impala, Spark SQL) and Hadoop for the Big • Specialised Master in Big Data (Télécom ParisTech, solutions Data part, the Cloud, DevOps and CRISP methods. EM Grenoble, Essec, etc.) • A level +5 years of study compulsory • Master in Computer Science, specialising in Computer • Specialised engineering school Science and Business Intelligence Exploration • Google Cloud Certified Certification - Professional Data Engineer A computer specialist I am the data controller, I present to you She is the quality manager…… But I’m the... more than that! Yes, that’s right, the data steward is extremely And she knowledgeable about data professions and all has some the data that relates to them. authority! 8 9 I would even OK, OK, thank you! See you It is often a say that I play a Come on, let’s soon! senior profile Hmm. I mean Otherwise key role… move on! this position requires a we’ll never be able lot of experience to stop her... and many years of practice... … In the data governance project!!! She not only ensures that the data is ... But also that present and compliant... it is relevant and understood by all. The data quality and business The role of the Data Steward is to ensure that the data is relevant, present, compliant, consistent, understood. controller It translates the business rules relating to the quality of data into requests (allowing their regular verification), he defines the quality indicators and the corresponding tolerance thresholds. The Data Steward is the referent in a data governance project. He plays a key role in its realisation, in particular because he acquires the knowledge of the business of data and Specialist their metadata. The Data Steward is a senior person with some authority in the organisation who has agreed to be the person responsible for the quality of a defined dataset, for example, the CFO for financial data. Quality Manager … And also cyber safety And your Data Architect, Come in here can he also carry out an Look, he’s our... constraints. now... extension? … That’s right. Hmm... If the system He takes charge of that. needs a change... (And he’s a champion for extinguishing the fires on the schedule!) 10 11 Once the foundations have been He optimises collection and He offers models that respond But is he alone to do No, he works with other data Let’s continue our visit, laid, he organises the recovery storage infrastructure. to business challenges. all this? experts! you haven’t seen anything of raw data and their yet... management. He also takes into account He can work on the data regulatory changes... dictionary... … That Le Data Architect intervenes upstream of the data processing to organise the recovery and management of raw data, Hold this, my more or less structured, in more or less large quantity and coming from various sources (internal, external). After the data is here! The data inventory, he defines and optimises the collection, storage, handling infrastructure and the associated flows. He proposes friend! systems modelling changes to meet the challenges of the business lines and facilitate the cross-referencing of downstream data. He may have to work on the data dictionary, the design of the CDM (Conceptual Data Model) or the inventory of the frame architect of reference in place. The role is more and more fundamental in a context of cloud architecture, open, real time and cyber Responds safety and regulatory constraints. to business challenges Levels & types of training • A Level + 5 years of study in IT, Management, Statistics • Big Data training • Specialised engineering school • Mastery of Business Intelligence and necessary experience in this field (a double course in business strategy is a plus) OpenClassRomms offers a work-study Data Architect training programme, and has partnered with Centrale Supélec to create an online Data Architect training course. The architect If you don’t mind Here is the... yes !!! She is versatile coming in, here is our next acquaintance. In short, she extracts And agile! the substantive marrow With whom? with brio! 12 13 As you can see, she combines I have the unpleasant mathematical, statistical and computer And she is able to feeling that they are laughing But let her tools. code them… Yes, yes! at me... work... Impressive! The Data Scientist processes, analyses and enhances the data of a company in order to define the best development strategy: She even Mathematics and marketing and sales strategy, improvement of performance and profitability, forecasting... With knowledge of mathematical / statistical builds intelligent and IT tools, he is able to code them (R, Python), to produce methods (automated, as much as possible) for sorting and analysing NO ??!! computer science hold mass data and more or less complex or disjointed sources, and to build «intelligent» algorithms, in order to extract useful information. algorithms!!! no secrets for him in The missions of the Data Scientist are different order to extract the (very often in connection with the Data Engineer and the Data Architect): substantive marrow Data Science training • Explore new sources of data to broaden the ability to identify Engineering degree with Big Data / Data Science specialisation: from the data business and operational efficiency issues more precisely and • IAMD - Engineer and Applications of Big Data (Télécom Nancy) quickly • Master 2 Mathematics and Applications: Data Science course Advanced • Take advantage of cutting-edge technologies to obtain better (École Polytechnique) technologies data analysis and design (predictive) models • Big Data & Data Science (Mine Nancy) • Data Science (Ensae ParisTech) • Participate in the industrialisation of these models • Bachelor in Data Science (FHNW, University of Applied Sciences • Combine structured and unstructured data analysis methods and Northwestern Switzerland) knowledge of the field of study to provide business with decision • Master in Data Science (EPFL, École Polytechnique Fédérale de support models: Lausanne) - Transform business issues into mathematical problems Versatile - Apply statistical models to explain a given problem Levels & Types of training and agile - Provide businesses with clear presentations of the analysis • A Level +5 years of study in Computer Science and Advanced carried out on their issues, highlighting possible leads Mathematics, Econometrics for development. • Specialised engineering school Come over here, Oh, I know who she is! She is very She loves I’ll introduce you to “Brio”. organised. methodologies and statistics ??? It’s Justine, she is my Hmm… And do you have She is like a demanding … Who makes sense of the data! Oh, really? neighbour and lives across any idea about what’s interpreter... the street! her job? So who is she? 0111000110 01100111001010 10011001 14 15 okayyy… Let’s move Of course! • on..