2026 Data Trends you MUST know
Adapt or be left BEHIND! đĄ
Got BDE?âĄď¸
Every time you stream a video or load an app, CDNs are processing billions of requests and generating massive amounts of log data in real time. Most teams sample that data just to keep up, but sampled data creates blind spots like the exact anomaly that caused the outage or the traffic pattern signaling a problem.
This matters even more as AI agents enter the picture. Agents can detect anomalies, trace root causes, and trigger fixes automatically. But AI is only as good as the data itâs given!!
On June 25, Iâm hosting a free live practitioners summit with engineers from Hydrolix, GlobalDots, and AWS on what agentic CDN operations actually looks like in productionâ including a live demo.
Weâll talk about:
Why CDN teams still struggle with visibility during critical incidents
Why full-fidelity data matters for AI-driven operations
How AI agents can detect anomalies and trace root causes
And weâll show a live demo of the workflow in action
Future of Data: 2026 Trends you MUST know!!
The world of data analytics is moving FAST đ. By 2026, professionals wonât just be cleaning data and building drag & drop dashboardsâ theyâll be expected to leverage AI tools, engineer analytical pipelines, define business logic through code, and prove their value through realâworld projects rather than certificates. The video below breaks it down in depth âŹď¸
Here are the 3 major trends Iâm seeing in data analytics going into 2026:
1. AIâDriven Analytics
AI is becoming a builtâin feature in everything from spreadsheets to visualization tools. ChatGPT, Claude, GitHub Copilot, and other AI assistants are already helping analysts write queries, interpret results, and generate insights more quickly and accurately than ever. In just a couple of years, companies will expect their data teams to fully embrace and implement these tools into workflows rather than just see them as novelties (or competitionđ). Analysts who learn to drive results, automate tedious tasks, and add insights to their own judgement with AI will be the most valuable on the job market.
Those who donât adopt AI will be left behind and become irrelevant very quickly on the job market!
2. Analytics Engineering
The days when data analysts were praised for their ability to drag and drop charts into a dashboard are OVER. Nowadays companies want analytics engineers who can manage an analytical pipeline and define business logic for reporting. Theyâre looking for people who can build and maintain data models, implement business logic into code and data, and QA the results on a deeper level. This more technical role sits between data engineering and analytics and requires fluency in SQL đ. Many AE roles also require skills in Python and dbtâ which I believe will explode even more next year.
The most soughtâafter analysts will be those who can design data transformations and automate reporting rather than just visualize outputs. TLDR: companies will want all analysts to be able to code and do technical work.
3. Certificates are losing their weight
Basic certificates used to be a golden ticket into 6-figure analytics roles because no one had them, and they were enough to impress hiring managers. But many of these programs teach outdated tools like R or proprietary software, and these donât match the technologies companies actually use in industry. Employers care about proven skills and handsâon experience way more than a shiny certificate with no backbone. Data Analytics portfolios, personal projects, and work experience speak louder than certificates, and this will only increase next year. Hiring managers are going to value projects and practical knowledge over the number of courses and certifications youâve taken.
So stop taking 100 different certificates and start practicing!
What to do about it?
In 2026, data analytics will be more intertwined with AI, engineering, and realâworld problem solving than it ever has before. To stay relevant, start experimenting with AI tools today, invest in your technical skills, and build projects that showcase what you can actually do. The future is brightâ but only for those who level up and adapt with the times.
Keep that BDE rolling this year đ đź
Jess Ramos đ
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Iâm Jess Ramos, the founder of Big Data Energy and the creator of the BEST SQL course and community: Big SQL EnergyâĄď¸. Check me out on socials: đYouTube, đLinkedIn, đInstagram, and đTikTok. And of course subscribe to my đnewsletter here for all my upcoming lessons and updatesâ all for free!