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The Big Data Dream Team

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Demystifying the Big Data Superheroes Mindset

Demystifying the Big Data Superheroes Mindset

Published in: Recruiting & HR

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  • 1. Dr. Raúl Arrabales Academic / Innovation Director @MbitSchool The Big Data Dream Team
  • 2. Demystifying the Big Data Superheroes Mindset Gifted Individuals Vs. Talented Teams
  • 3. How do Big Data Projects Succeed? - Team - Technology - Project Mngmt - Business Objective! - Alignment!!
  • 4. Yes, big data talent is in short supply. Well-assembled teams that get the job done are even shorter. Assembling the big data dream team…
  • 5. Business Analyst • Consultancy background • Degree in Business • Strong IT literacy • Desirably MBA BA understands data life-cycle and context, identifies opportunities, boosts profit, improves competitiveness, reduces costs.
  • 6. Project Manager • PM background • Degree in IT/Engineering • Strong IT literacy • Agile/Lean Methodologies • Desirably PMP/PRINCE2 Synergy/comm/flow of the team. Facilitates innovation and team talent growth. Manages customer expectations & requirements and ensures quality in solutions delivery.
  • 7. Big Data Architect • Storage/DB/Cloud background • Degree in CS/IT/Engineering • Datacenter/DWH Architecture • OS/Network Administration. • NoSQL, MapReduce, Shell Script Designs and optimize reliable, robust, fail-tolerant, safe, on demand, elastic computer systems infrastructure that enables big data applications to run and be delivered smoothly.
  • 8. Big Data Developer • Software Eng. background • Degree in Computer Science • Hardcore coder / Dif. Lang. • NoSQL, Hadoop API, MR APIs • Backend developer, scripting • Real-time / in-memory app. Develops and integrates software applications to run efficiently and process petabytes of data across big data clusters.
  • 9. Data Scientist • Data mining background • Degree in CS/Statistics/Math • Hardcore algorithm designer/coder • Analytical problem solver • Expert in Machine Learning • Ideally Ph.D. in CS/AI/Analytics Able to develop/design/apply new efficient algorithms to extract value from big data. Understands the opportunities hidden in massive datasets.
  • 10. Cybersecurity Engineer • Information Security Backgr. • Degree in Computer Science. • Ideally M.Sc./Ph.D. Security. • IDS, Datacenter. SysAdm. • Backend and frontend security. Able to assure the security of information across all big data platform and infrastructures, detecting and foreseeing cyber attacks end to end.
  • 11. Folks from other lands • Members of the board. • Legal affairs. Digital ecosystem. • BI/Datawarehouse Mngmt. • IT infrastructures Mngmt. • Business Partners. • Data Owners & Agencies. • Users & Customers!! Seamless deployment and integration coordinated with operations, delivery, etc. And external stakeholders.
  • 12. Business Analyst Project Manager Big Data Architect Big Data Developer Data Scientist Cybersecurity Engineer Big Data Business Model Agile Project Management HPC - SW/HW Architecture SW Eng. MR Design Patterns Data Analytics Machine Learning Inf. Security Cybersecurity Teamwork & Specialization
  • 13. Dr. Raúl Arrabales Academic / Innovation Director @ConsciousRobots The Big Data Dream Team