10 Things I Want to Do This Year #2

10 Things I Want to Do This Year

Hello, and welcome to Sho DataOps Labs.
In my previous post, I talked about the vision and direction of this blog. Now, I have compiled a specific list of "10 things I want to do this year." I will introduce the initiatives I plan to undertake to explore the optimal solutions for data operations and share them with you all.

1. Update the blog at least 3 times a week

I will regularly share practical, ready-to-use know-how that is useful in the field of data operations. Rather than just introducing knowledge, I will delve into specific questions like, "When you face this kind of challenge, how can you solve it?" I plan to explain common issues and effective solutions in Tableau Server/Cloud operations from a field-oriented perspective.

2. Regularly review and verify the latest features of Tableau Server/Cloud and turn them into articles

Tableau continues to evolve. I will thoroughly verify whether its latest features are truly usable and worth implementing from a technical perspective, and introduce ways to actually utilize them in operations. By explaining the latest information quickly, clearly, and in-depth, I will provide articles that help readers make the right decisions.

3. Introduce troubleshooting cases for Tableau Server/Cloud

Trouble is unavoidable. Especially in enterprise environments, you are required to get to the bottom of the "why" within complex systems and find fundamental solutions. In this blog, based on actual cases that have occurred, I will share practical solutions from the following perspectives:

• How to identify the cause?

• How to solve it?

4. Start writing a technical book on Tableau Server/Cloud

Based on the content of this blog, I will write a technical book specialized in Tableau Server/Cloud operations. I aim to systematize practical operational know-how that is not covered in official documentation and compile it into a single resource. Please look forward to it, as I plan to make it a "dictionary-like" book that is truly useful in the field.

5. Catch up on the latest technical trends regarding DataOps and cloud operations

DataOps is still a new concept, but it refers to methods and culture for streamlining data management and operational processes to improve quality and speed. As data management in cloud environments becomes mainstream, it will become increasingly important in the future. I will keep up with the latest trends and summarize what will become the future trends and how they should be utilized in an easy-to-understand manner.

6. Introduce efficient work techniques and task management tips

In the business world, the key is not just "knowing," but "being able to respond quickly." I will also share tips on task management and efficient ways of working to achieve that. I will explore methods to make daily tasks a little easier and ensure they are carried out reliably.

7. Review and write articles on productivity tools and apps for engineers

By utilizing tools, you can significantly improve work productivity. I will regularly publish review articles that include the pros and cons of useful tools I have actually tested.

8. Introduce frameworks for task management and knowledge management

I will introduce methods for task management and knowledge management in a practical way.

9. Read at least 3 books every month to increase my input.

It is also important to keep updating my own knowledge. I will continue to discover good books and introduce them regularly.

10. Write book review articles regularly.

From the books I have read, I will pick out the ones that were particularly useful and write detailed articles introducing them. I also plan to cover efficient ways of working and business books.

Conclusion

"Sho DataOps Labs" is not just a technical blog, but a place to share "practical knowledge" and "ways of thinking" that are useful in the field of data operations. Throughout this year, I will grow this blog into a place where readers can truly obtain the knowledge they need.

If you find this content interesting, please be sure to check for future updates. Let's learn and grow together!

Sho DataOps Labs - The optimal solution for Tableau operations through reliable knowledge and practice -

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