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What do you do if you want to boost your career in Data Architecture through continuing education?

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Data Architecture is a dynamic and evolving field that requires constant learning and adaptation. Whether you are a beginner or an experienced professional, you can always benefit from continuing education to enhance your skills, knowledge, and career prospects. In this article, we will explore some of the ways you can pursue continuing education in Data Architecture and why it is important for your personal and professional growth.

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Sergii Sydorenko

Executive MBA candidate at IE Business School | Senior Technical Project Manager | Delivery Manager | Product Owner |…
Bharat Sagar Veesam

Data Governance and Data Quality Professional
Besim Ismaili

Chief Technology Officer at ELA Analytics leading innovative data solutions | DN Executive Network Technology | Author…

1 Identify your goals and gaps

The first step to boost your career in Data Architecture through continuing education is to identify your goals and gaps. What are you aiming for in your current or desired role? What are the skills, knowledge, or certifications that you need to achieve your goals? What are the areas that you need to improve or update? You can use various sources to assess your current level and identify your learning needs, such as feedback from your peers, managers, or clients, online assessments, self-reflection, or industry trends and standards.

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Bharat Sagar Veesam

Data Governance and Data Quality Professional
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When looking to pursue a new skill and get certified in it, one should clearly check for themselves if their longterm career path align with the skills being pursued. The reason I emphasize on this is, people are highly motivated in achieving goals that they truly want to achieve and the results in the journey reinforces them in one way or the other. This can be fulfilled by reaching out to a mentor or more experienced person in the career path you want, if not your Manager too can help identify objectives that you can work on to grow while you learn.

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Besim Ismaili

Chief Technology Officer at ELA Analytics leading innovative data solutions | DN Executive Network Technology | Author | Data Science | AI | ML | Business Intelligence |
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To boost your Data Architecture career, first define goals aligning with your interests in data, fintech, and data for good. Aim to master scalable data systems, compliance, and analytics in the fintech domain. Identify gaps through peer feedback, self-assessment, and industry trends. Focus on areas like advanced analytics, machine learning integration, cloud architectures, and data governance. Keep abreast of fintech regulations and data ethics to innovate responsibly. Pursuing relevant certifications and continuous learning tailored to these objectives will be key.

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2 Choose your learning format and resources

The next step is to choose your learning format and resources. Depending on your preferences, availability, budget, and goals, you can opt for different types of continuing education in Data Architecture, such as online courses, webinars, podcasts, books, blogs, newsletters, or conferences. You can also look for formal or informal mentorship, coaching, or networking opportunities with other Data Architects or experts in your field. You can use various platforms and websites to find and compare the best options for you, such as Coursera, Udemy, edX, LinkedIn Learning, or DataCamp.

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Besim Ismaili

Chief Technology Officer at ELA Analytics leading innovative data solutions | DN Executive Network Technology | Author | Data Science | AI | ML | Business Intelligence |
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For enhancing your Data Architecture skills, mix learning formats to fit your goals and lifestyle. Dive into online courses on Coursera or Udemy for structured learning. Use LinkedIn Learning for skills updates. For insights on the go, subscribe to relevant podcasts and read industry blogs. Books offer deep dives into complex topics; seek titles on modern data practices. Engage with experts through webinars and conferences for real-time learning and networking. Explore mentorship on LinkedIn for personalized guidance. Choose resources that align with your interests in fintech and data management, balancing between formal education and informal learning to stay ahead in the field.

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3 Plan your learning schedule and strategy

The third step is to plan your learning schedule and strategy. How much time can you dedicate to continuing education in Data Architecture? How will you balance it with your other commitments and responsibilities? How will you track your progress and evaluate your outcomes? You need to set realistic and specific goals and deadlines for your learning activities and stick to them. You also need to use effective learning strategies and techniques, such as active recall, spaced repetition, practice tests, or project-based learning, to maximize your retention and application of the new knowledge and skills.

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4 Update your portfolio and resume

The fourth step is to update your portfolio and resume. As you complete your continuing education in Data Architecture, you need to showcase your achievements and credentials to potential employers, clients, or collaborators. You can use various tools and platforms to create and update your portfolio and resume, such as GitHub, Kaggle, Tableau, or VisualCV. You also need to highlight your relevant skills, projects, certifications, or courses in your portfolio and resume, and use keywords and metrics to demonstrate your value and impact.

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5 Seek feedback and opportunities

The final step is to seek feedback and opportunities. Continuing education in Data Architecture is not a one-time event, but a continuous process. You need to seek feedback from your peers, managers, clients, or mentors on your performance and improvement, and use it to identify your strengths and weaknesses. You also need to seek opportunities to apply your new knowledge and skills in real-world scenarios, such as new projects, tasks, roles, or challenges. You can use various channels and networks to find and pursue these opportunities, such as LinkedIn, Indeed, Glassdoor, or Meetup.

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Sergii Sydorenko

Executive MBA candidate at IE Business School | Senior Technical Project Manager | Delivery Manager | Product Owner | 12+ years of experience in FinTech | Insurance/Banking domains
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Short feedback cycles and opportunities to apply newly acquired skills are crucial in any field, and Data Architecture is no exception. It is vital to establish a trusting relationship with clients and engage in a variety of projects. This enables you to develop yourself as a Data Architect, master new technologies, and immediately enhance the product, yielding the first results during the pre-PROD phase.

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6 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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Besim Ismaili

Chief Technology Officer at ELA Analytics leading innovative data solutions | DN Executive Network Technology | Author | Data Science | AI | ML | Business Intelligence |
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In advancing your Data Architecture career, consider embracing interdisciplinary learning. Knowledge in cybersecurity, AI ethics, and financial regulations can enrich your designs. Engage in open-source projects to gain hands-on experience and contribute to community-driven innovations. Networking is key; share insights and challenges in forums and social media groups dedicated to Data Architecture and Fintech. Keep an experimental mindset, exploring new tools and technologies in sandbox environments to stay ahead. Remember, the field evolves rapidly; staying adaptable, curious, and proactive in learning will set you apart.

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What do you do if you want to boost your career in Data Architecture through continuing education?

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3

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1 Identify your goals and gaps

2 Choose your learning format and resources

3 Plan your learning schedule and strategy

4 Update your portfolio and resume

5 Seek feedback and opportunities

6 Here’s what else to consider

Data Architecture

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What do you do if you want to boost your career in Data Architecture through continuing education?

1

2

3

4

5

6

1 Identify your goals and gaps

2 Choose your learning format and resources

3 Plan your learning schedule and strategy

4 Update your portfolio and resume

5 Seek feedback and opportunities

6 Here’s what else to consider

Data Architecture

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