It’s 2025, and the data industry is already off to a whirlwind start. At the end of last year, Databricks secured one of the largest funding rounds in history, Rivery was acquired by Boomi, and the massive buyout of Tabular (Edit: I originally wrote Iceberg was purchased by Databricks which was incorrect) has everyone talking. And that’s without even mentioning AI. With so much happening, it’s natural to wonder: where is the data world headed in 2025? Over the past few years, we’ve witnessed an explosion of technologies designed to help organizations collect, process, and analyze data. But while these tools are undeniably powerful, they often cater to the technologist more than the business leader. The real question for 2025 isn’t just which tools will dominate the market, but what outcomes they’ll deliver. As organizations face increasing pressure to maximize the return on their data investments, they’ll need to make strategic technology choices and embrace tailored solutions that align with their unique needs. For some, this will mean pushing the boundaries of innovation with cutting-edge technologies. For others, simplicity will take center stage. Here’s what you can expect to see shaping the data world this year. If you'd like to read the article version of this video, you can check it out here - https://seattledataguy.substack.com/p/5-key-predictions-for-the-data-industry?utm_source=activity_item Or check out my blog https://www.theseattledataguy.com/ I also referenced RoeAI, if you're looking to analyze unstructured data via SQL, check them out here - https://bit.ly/42mSJBo I don't have a Patreon, but if you'd like to support the channel and the newsletter you can become a paying member of the newsletter here - https://seattledataguy.substack.com/subscribe Or check out my blog https://www.theseattledataguy.com/ And if you want to support the channel, then you can become a paid member of my newsletter https://seattledataguy.substack.com/subscribe Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio _____________________________________________________________ Subscribe: https://www.youtube.com/channel/UCmLGJ3VYBcfRaWbP6JLJcpA?sub_confirmation=1 _____________________________________________________________ About me: I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data. *I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you.

If AI Can Replace Workers, Why Is It Hiring Consultants?
956 views

Why Data Pipelines Exist - Beyond Moving Data From Point A To B
2.5K views

How To Start An Independent Consulting Company In 2026 | How To Start Freelancing Part 1
1.3K views

Leading Data Teams In The Age Of AI
1.2K views

The Future of Software And Data Engineering Teams (AI + Junior Problem)
1.2K views

Free Consulting Boot Camp Launch Video | Seattle Data Guy | Starting Your Freelancing Company
735 views