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Power BI | Power Query | Advanced DAX | SQL - Query &
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Microsoft Power Apps | Microsoft Power Automate
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VBA | Python | Web Scrapping | API Integration
Power BI | Power Apps | Power Automate |
SQL (Query & Programming)
Power BI | Adv. DAX | Power Apps | Power Automate |
SQL (Query & Programming) | VBA | Python | Web Scrapping | API Integration
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Data Factory | Databricks | Power Apps | Power Automate |
Azure Analysis Services
Microsoft Fabric | Power BI | SQL | Lakehouse |
Data Factory (Pipelines) | Dataflows Gen2 | KQL | Delta Tables | Power Apps | Power Automate
Power BI | Power Apps | Power Automate | SQL | VBA | Python | API Integration
When it comes to handling massive volumes of logs, metrics, and unstructured text, Elasticsearch has become the go-to engine for developers and engineers. In fact, Elasticsearch consistently ranks among the top 10 most popular database technologies worldwide (DB-Engines 2024).
Pair it with Kibana, and you get powerful search and visualization tools for IT teams, DevOps, and security analysts.
But here’s the catch: business leaders don’t speak Kibana.
They don’t want to scroll through JSON queries, error logs, or infra-heavy dashboards. They want clean, interactive, decision-ready visuals.
That’s where Power BI becomes the business face of Elasticsearch.
Think of it this way:
Kibana tells you what’s happening under the hood. Power BI shows you where the car is headed.
Elasticsearch captures real-time streams of data. That’s gold. But raw gold needs to be refined before it’s valuable.
Example: An e-commerce company uses Elasticsearch to track search queries.
One dataset. Two very different outcomes.
Here’s why Elasticsearch experts are adding Power BI to their toolkit:
For professionals, this isn’t just about tools — it’s about career growth.
And the demand is growing. According to LinkedIn’s 2024 Workforce Report, Power BI ranks among the top 3 most in-demand skills in data & analytics worldwide. Pairing it with Elasticsearch makes you highly marketable for roles like:
These are roles with higher visibility, bigger impact, and stronger career progression.
As companies adopt Microsoft Fabric and advanced data platforms, the link between streaming data (like Elasticsearch) and BI tools (like Power BI) will only grow stronger.
The future isn’t about collecting data. It’s about turning data into actionable intelligence instantly — and that’s exactly where Elasticsearch + Power BI shine together.
Kibana is essential — it keeps engineers in control.
But when it comes to business impact, Power BI is the face executives recognize and trust.
If you’re an Elasticsearch professional, learning Power BI is no longer optional. It’s the bridge that transforms you from a data custodian into a decision enabler.
Beyond Kibana lies the world of business-ready analytics — and Power BI is your gateway.
Editor’s NoteAt Excelgoodies, we’ve helped hundreds of professionals with Elasticsearch, SQL, and automation backgrounds step into business-facing BI roles. Our Full Stack BI Reporting & Automation course equips you with Power BI, Power Automate, and Power Apps — giving you the skills to deliver complete, end-to-end business solutions.
Courtesy: Excelgoodies Power Users.
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