What do you do if your data warehousing creativity is being reshaped by emerging trends and technologies?

It is silly to simply embrace the change for the sake of embracing the change. Use the following two lenses to assess anything new that comes your way. Did our fundamentals just change or are we being offered a better, more efficient version of the existing compromise? Data warehousing is still greatly influenced by ideas and principles that go back into the 80s and 90s. Some of these principles are truly fundamental and will probably survive many iterations of this technology while others are likely to be remnants of compromises that the industry had to make given hardware limitations. But as you embrace the change, focusing on fundamentals will work out better than chasing one compromise after the other.

First of all, I must be very familiar with the features of the data warehouse I am using. What am I expecting, what needs should I have? I must determine what the sector and trend I work in are using, what changes are taking place in the sector. And I must determine these expectations regarding the data size, flexibility, support for ETL tools and manageability issues in my data warehouse. Then, the cost and benefit must be determined.

By following the below steps. These are few which will help. Stay Informed, Assess New Technologies, develop a Strategy, Pilot New Approaches, Leverage Automation and AI, adopt a Hybrid Approach, Prioritize Data Security, Optimize Data Storage and Processing .....

When your data warehousing creativity encounters the winds of change brought by emerging trends and technologies, embrace the transformation! Here’s how you can navigate this dynamic landscape: Stay Curious and Informed: Read voraciously: Dive into industry blogs, research papers, and case studies. Understand the latest trends, tools, and methodologies. Attend conferences and webinars: Connect with experts, learn from their experiences, and gain fresh perspectives.Adapt Your Toolbox:Explore new tools: Investigate emerging data warehousing echnologies like Snowflake, Databricks, or Google BigQuery. These platforms offer scalability, performance, and flexibility.Cloud-native solutions: Consider migrating to cloud-based data warehouses.

Here is what you need to consider 1. Acknowledge the inevitability and importance of change. 2. Stay informed about industry trends and developments. 3. Approach change with an open mind and willingness to explore new ideas. 4. Seek out learning opportunities to adapt to new challenges. 5. Cultivate flexibility and adaptability to navigate change effectively. 6. Maintain a positive attitude and focus on the opportunities change brings. 7. Foster a culture of innovation where new ideas are encouraged. 8. Collaborate with others to navigate change more effectively. 9. Develop resilience to overcome obstacles and setbacks. 10. Embrace change as an opportunity for continuous improvement.

Staying Informed i.e. by keeping yourself updated with the latest trends and technologies in data warehousing helps in ensuring that your data warehousing capabilities remain relevant and competitive. One can subscribe to relevant blogs, attend conferences, and participate in online communities to stay ahead of changes. Invest time in learning new technologies and methodologies. for e.g. online courses, workshops, and certifications can help you acquire new skills and stay competitive in the field.

Continuous learning provides opportunities to explore emerging concepts and methodologies in data warehousing, such as data lakes, real-time analytics, and machine learning integration.

Nowadays we come across new technologies at such a pace it's quite impossible to be equipped with everything and more importantly keep its relevance in your work. Rather we should look at the tools which are providing significant benefits and try-and-test them out ourselves on some real life use cases. This gives us a confidence to pitch these new tools to our stakeholders as well as showcase your exposure to new and useful tech.

En mi opinión, la agilidad se basa en la capacidad de adaptarse a nuevas cosas rapidamente mientras fortalece más su fundamentos teoricos. Las herramientas y tendencias cambiarán pero el fundamento teorico siempre es el mismo; por lo que debes prepararte en estas dos habilidades.

What I feel is that one should anticipate the future trends and plan ahead to ensure that your data warehousing solutions remain relevant and effective in the long term. Keep an eye on emerging technologies such as AI, machine learning, and blockchain, and consider how they might impact your data warehousing strategy.