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What do you do if you want to expand your professional network in data management for career growth?

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Data management is a vital skill for any professional who works with data, whether it's for analysis, reporting, visualization, or decision making. Data management involves organizing, storing, securing, and maintaining data in a way that ensures its quality, integrity, and accessibility. But how do you keep up with the latest trends, tools, and best practices in data management? How do you learn new skills, find new opportunities, and connect with other data professionals? One of the most effective ways to do that is to expand your professional network in data management. In this article, we'll share some tips on how to do that and why it matters for your career growth.

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Ilgar Zarbaliyev

Training Program Manager @ Novum LLC | Microsoft ?MVP | MCT Community Lead
Andre Luís Goncalves

Co-founder & CEO @ Squadra | CTO as a Service | Gerente de Projetos | Gerente de Portfólio | Gerente de Tecnologia |…
Liliana Cordeiro

Head of Clinical Trials, Pharmacy Lead for NIHR iCT in the UK at NIHR Clinical Research Network

1 Join online communities

One of the easiest and most convenient ways to expand your professional network in data management is to join online communities where you can interact with other data enthusiasts, experts, and learners. Online communities can be found on various platforms, such as LinkedIn, Reddit, Quora, Twitter, Facebook, Slack, Discord, or Stack Overflow. These platforms allow you to follow, comment, share, and ask questions about data management topics, as well as discover new resources, events, and opportunities. You can also join specific groups or forums that focus on your niche or interest, such as data governance, data quality, data engineering, data science, or data visualization. By joining online communities, you can build your online presence, reputation, and credibility in data management, as well as learn from others and offer your insights and feedback.

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Ilgar Zarbaliyev

Training Program Manager @ Novum LLC | Microsoft ?MVP | MCT Community Lead
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Engage with specialized online forums tailored to your data management interests. Platforms like Stack Overflow, Data Science Central, or Kaggle host vibrant communities discussing varied aspects of data analytics, machine learning, and more. Participate in discussions, seek advice, and contribute your expertise. These forums provide avenues to connect with professionals in your specific domain, fostering meaningful networking opportunities and knowledge exchange.

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Andre Luís Goncalves

Co-founder & CEO @ Squadra | CTO as a Service | Gerente de Projetos | Gerente de Portfólio | Gerente de Tecnologia | Head IT | Transforma??o Digital | Governan?a Corporativa | Ciberseguran?a | Cloud Computing
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|Fa?a networking pessoalmente participando de eventos locais da indústria, encontros de profissionais e grupos de interesse. Construa relacionamentos genuínos com colegas de trabalho, ex-colegas, mentores e outros profissionais do setor.

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Pranav Dave

Sr. MIS Executive @ IMS Decimal | Process Improvement, Data Analysis
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You can utilize Social Media and join Data Management Communities, attend Industry Events, attend Workshops and Training Programs, take advantage of online courses and certifications in data management offered by platforms like Coursera, edX, and Udemy. Engage with instructors and classmates to expand your network. Regularly update your LinkedIn profile with your latest achievements, projects, and skills. Share relevant articles, blog posts, and insights to demonstrate your expertise and stay on the radar of potential employers and collaborators. Network is two way street. Be genuine in your interactions, offer help and support to others.

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Sudhir K D

??????Alcohol & Drug testing for (DOT) Department of transportation, Dash Camera Monitoring, Bookings, Quality management, Client Engagement and Onboarding,Customer success management.
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Expanding your professional network in data management can be beneficial for career growth. Here are some strategies you can use: Attend industry events and conferences: Participate in data management conferences, seminars, workshops, and networking events where you can meet professionals in the field. Join professional associations: Become a member of organizations like DAMA International (Data Management Association) or local chapters, where you can connect with other data management professionals and access resources and events. Utilize online platforms: Join LinkedIn groups related to data management, participate in discussions, share insights, and connect with professionals in your field.

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Mesfin Girma

Country Director | Primary Healthcare Activity | M.D, MPH, & MBA-Project Management | Researcher | Data Scientist | Expert Mentor | Volunteers |
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You can start by joining online communities, going to events and webinars, taking online courses and certifications, reaching out to mentors and experts, contributing to open-source projects and publications, and asking yourself why networking is important for data management if you want to grow your professional network in the field.

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2 Attend events and webinars

Another way to expand your professional network in data management is to attend events and webinars that are relevant to your field or industry. Events and webinars can be both online and offline, depending on your preference and availability. They can range from conferences, workshops, meetups, hackathons, panels, presentations, or Q&A sessions. Events and webinars can help you stay updated on the latest trends, developments, and innovations in data management, as well as network with other attendees, speakers, organizers, and sponsors. You can also showcase your skills, projects, or achievements in data management, as well as learn from others and exchange ideas and feedback. To find events and webinars that suit your interests and goals, you can use platforms like Eventbrite, Meetup, BrightTALK, or DataCamp.

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Sandro Torres

Analista de Dados Pleno | Power BI | SQL
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To stay updated in data management, I typically engage in specialized courses and training programs. Additionally, I maintain a regular reading routine, exploring resources available on LinkedIn and from reputable websites in the field. I believe this combined approach of formal and informal learning enables me to stay current with the latest trends, tools, and practices in data management.

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3 Take online courses and certifications

A third way to expand your professional network in data management is to take online courses and certifications that can enhance your knowledge and skills in data management. Online courses and certifications can be found on various platforms, such as Coursera, Udemy, edX, or DataCamp. These platforms offer a variety of courses and certifications that cover different aspects of data management, such as data analysis, data modeling, data warehousing, data integration, data security, or data ethics. By taking online courses and certifications, you can not only improve your competencies and credentials in data management, but also connect with other learners, instructors, and mentors who share your passion and curiosity for data. You can also participate in discussions, assignments, projects, or peer reviews that can help you expand your network and portfolio in data management.

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Sandro Torres

Analista de Dados Pleno | Power BI | SQL
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To stay updated in data management, I usually engage in specialized courses and training programs. Additionally, I maintain a regular reading routine, exploring resources available on both LinkedIn and prominent websites in the field. I believe that this combined approach of formal and informal learning allows me to stay abreast of the latest trends, tools, and practices in data management.

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4 Reach out to mentors and experts

A fourth way to expand your professional network in data management is to reach out to mentors and experts who can guide you, advise you, and support you in your data management journey. Mentors and experts can be people who have more experience, knowledge, or skills in data management than you, and who can offer you valuable insights, feedback, and opportunities. You can find mentors and experts in various ways, such as through your existing network, online communities, events, webinars, courses, or certifications. You can also use platforms like MentorCruise, Shapr, or Clarity to connect with mentors and experts in data management. By reaching out to mentors and experts, you can benefit from their wisdom, perspective, and network in data management, as well as build long-term and meaningful relationships that can boost your career growth.

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5 Contribute to open source projects and publications

A fifth way to expand your professional network in data management is to contribute to open source projects and publications that are related to data management. Open source projects and publications are collaborative efforts that involve creating, sharing, and improving data management solutions, such as software, tools, frameworks, libraries, or datasets. You can find open source projects and publications on platforms like GitHub, Kaggle, Medium, or Towards Data Science. By contributing to open source projects and publications, you can demonstrate your skills, creativity, and passion in data management, as well as network with other contributors, maintainers, and users who appreciate your work and value your input.

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Liliana Cordeiro

Head of Clinical Trials, Pharmacy Lead for NIHR iCT in the UK at NIHR Clinical Research Network
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Surround yourself with others that share the same goals, specially the ones better than you. Be thirsty of constantly learn to improve and be humble regarding your own knowledge. Share knowledge as a challenge that you may face others may have done that walk already and have valid expertise to share with you. Mainly never feel that you know it all because the day one feels that there is nothing else to learn is the day one starts dying professionally

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Sandro Torres

Analista de Dados Pleno | Power BI | SQL
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To stay updated in data management, I typically engage in specialized courses and training programs. Additionally, I maintain a regular reading routine, exploring resources available on LinkedIn and from reputable websites in the field. However, I must admit that I haven't explored the option of contributing to open-source projects until now. I recognize the value of this approach and plan to explore it further as a means to not only stay updated but also to actively participate in the development of innovative solutions within the data management community.

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6 Why networking matters for data management

Expanding your professional network in data management can have many career-enhancing benefits. You can learn new skills and techniques, discover new opportunities, increase your visibility and reputation, and find support from other data professionals. Data management is a dynamic and evolving field that requires constant learning, adaptation, and collaboration. By networking, you can not only improve your skills and knowledge, but also enrich your experience and perspective. Therefore, start networking today to see how it can transform your career in data management.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What do you do if you want to expand your professional network in data management for career growth?

1

2

3

4

5

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7

1 Join online communities

2 Attend events and webinars

3 Take online courses and certifications

4 Reach out to mentors and experts

5 Contribute to open source projects and publications

6 Why networking matters for data management

7 Here’s what else to consider

Data Management

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What do you do if you want to expand your professional network in data management for career growth?

1

2

3

4

5

6

7

1 Join online communities

2 Attend events and webinars

3 Take online courses and certifications

4 Reach out to mentors and experts

5 Contribute to open source projects and publications

6 Why networking matters for data management

7 Here’s what else to consider

Data Management

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