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Power BI With AI Full Course 2026 [FREE] | Power BI With AI Tutorial | Power BI Course | Simplilearn
The video introduces Simplilearn’s free "Power BI with AI" full‑course, designed to teach professionals how to turn raw Excel or database files into interactive dashboards powered by Microsoft’s analytics platform. It emphasizes the end‑to‑end workflow—data ingestion, cleaning, modeling, visualization, and AI‑assisted insight generation—using Power BI Desktop, Power Query, and the new Copilot features. Key points include the platform’s ability to connect to over 100 data sources, the distinction between measures and dimensions, and the step‑by‑step build‑up from basic tables to advanced visuals such as waterfall, scatter, and geo‑maps. The instructor, Mohammed Sadi, highlights practical hands‑on labs, real‑world projects, and the integration of generative AI to surface smart insights faster than traditional BI tools. Sadi notes that Power BI has overtaken legacy tools in Google Trends, attributing its rapid adoption to seamless Microsoft ecosystem integration, robust data transformation capabilities, and a rich visual library. He shares learner demographics—85% novices, 93% beginners—and stresses that the course aligns with certifications like CBA and CCBA, offering job‑assist services to bridge skill gaps. For businesses, mastering Power BI with AI means faster, data‑driven decision‑making and a competitive edge in analytics talent. For individuals, the skill set opens pathways to higher‑pay roles in data analysis, consulting, and digital transformation initiatives.
Gen AI Powered SQL For Business Analytics 2026 | Learn SQL With Gen AI | Simplilearn
Simplilearn’s new course blends generative AI with SQL to teach business analysts how to extract insights from massive data sets more efficiently. The syllabus starts with core SQL concepts—data modeling, cleaning, and connecting to varied sources—then moves to AI‑driven features that...
The 4 Common Types of Dimensions | Data Modeling 101
The video walks through four frequently encountered dimension types in star‑schema data modeling—role‑playing, conformed, junk, and degenerate—explaining when and why each should be used. Role‑playing dimensions reuse a single table for different roles within the same fact, such as a central...
Data Engineering Is Dead (Again)
The video argues that traditional data engineering, as we know it, is effectively dead, but stresses that the discipline is merely evolving through successive technological waves. It traces the role from on‑prem data warehouses, through the cloud migration, Hadoop and Spark...
Google Data Studio Is Back!?!
Google announced that Looker Studio will once again be called Data Studio, reviving the original brand for its report and dashboard platform. The rename signals a clear division: Data Studio will serve self‑service reporting and visualization, while Looker remains the...
Free Lab: Building Spark Declarative Pipelines & Lakeflow Designer
The video introduces a free, self‑paced lab that walks users through Databricks’ new Lakeflow Designer, focusing on declarative pipelines built entirely with SQL. The instructor highlights how the no‑code interface lets data engineers define bronze, silver, and gold layers, set...
Now You Have to Build Data Quality Checks and Observability 🤖📊
The video highlights the growing need for automated data‑quality checks and observability in modern data pipelines. It promotes AI‑powered platforms such as Soda, Datafold and Monte Carlo that can continuously monitor metrics, detect anomalies and surface alerts without manual intervention. Key...
Data Warehouse vs Data Lake vs Data Lakehouse: Key Differences Explained In Detail | Simplilearn
The video breaks down three core data‑storage architectures—data warehouses, data lakes and the emerging data lakehouse—explaining how each fits into modern analytics strategies as global data volumes surge toward 181 zettabytes by 2025. Warehouses are optimized for structured, pre‑cleaned data, delivering sub‑second...
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Live Power Query Data Cleaning Masterclass [FREE Workbook]
The video is a live masterclass that walks viewers through using Power Query for data cleaning, transformation, and management inside Power BI, with identical steps applicable to Excel. The presenter provides a free sample workbook—a fabricated 1,000‑employee dataset—so participants can follow...
AI Isn’t Replacing Data Engineers It’s Changing What Great Ones Look Like 🤖⚡
The video argues AI isn’t displacing data engineers but reshaping the profile of top performers. It contrasts legacy workflow—SQL, Python, manual validation, hand‑written docs—with AI‑augmented processes. AI accelerates code writing in SQL and Python, automates data validation, and powers self‑healing pipelines....
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Tableau Full Course 2026 [FREE] | Tableau Data Visualization Course | Tableau Tutorial | Simplilearn
The video introduces a free, comprehensive Tableau training course aimed at turning raw data into compelling visual stories. It outlines the curriculum, starting with the Tableau workspace and drag‑and‑drop chart creation, then progressing through dashboards, joins, relationships, data modeling, and...
Weekly Metrics Reporting Agent
The video demonstrates how to build a lightweight reporting agent that automatically generates a weekly metrics readout for a team. By linking the agent to a Google Drive data source, it can directly access spreadsheets where the raw data resides,...
OpenXData Conference
OpenXData is hosting a full‑day conference on April 29, 2026 featuring two parallel tracks that explore AI‑native data platforms, data engineering for AI, and large‑scale cost‑performance optimization. Speakers include senior technologists from Uber, Snowflake, Microsoft, IBM, Anthropic, Walmart, Booking.com, and other industry...
📉 Turn Your Multimodal Data Into Something You Can Actually Query
Snowflake and AI expert Gilberto Hernandez have launched a new online course, Building Multimodal Data Pipelines, aimed at turning images, audio, and video into searchable, LLM‑ready text. The curriculum covers OCR for images, automatic speech recognition for audio, and Vision...
The "Just Use Postgres" Trap
The video examines the growing advice to "just use Postgres" for all data needs, specifically as a message queue, and contrasts it with purpose‑built brokers like Kafka, Redis, and RabbitMQ. While a single database reduces infrastructure complexity, the presenter warns...
Companies Actually Prefer Software Engineers as Data Engineers 👀💻
The video argues that firms are increasingly hiring software engineers to fill data‑engineering positions, often preferring them over traditional analytics or business‑intelligence backgrounds. Data‑engineering managers cite the scarcity of engineers who can build production‑grade pipelines, handle errors at scale, and write...
You Will Never Forget Apache Kafka After Watching This.
The video introduces Apache Kafka as an event‑streaming platform, using everyday scenarios like food‑delivery apps to demystify its purpose for beginners. It argues that traditional API‑centric designs quickly become untenable when each user action generates multiple events that must be...
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SQL Full Course 2026 [FREE] | Advanced SQL Course 2026 | SQL Tutorial For Beginners | Simplilearn
Simplilearn has launched a free, comprehensive SQL Full Course for 2026, guiding learners from basic commands to advanced query optimization and performance tuning. The curriculum spans core SQL operations, joins, subqueries, indexes, views, and stored procedures, and ties into real‑world...
Stop Overstudying LeetCode: Focus on What Actually Matters
The video cautions job‑seekers, especially data‑engineer aspirants, against indiscriminately grinding LeetCode problems. The presenter clarifies he isn’t banning coding practice, but urges a strategic, limited approach. He recommends solving roughly fifty carefully chosen problems—preferably medium to hard—that mirror the difficulty of...
NINDS Preclinical CDEs/Data Standards: The NIH Perspective on Common Data Elements
The webinar hosted by NINDS introduced NIH’s evolving stance on common data elements (CDEs) for preclinical neuroscience, emphasizing their role in building a national, reusable biomedical data resource. Speakers argued that CDEs must be integrated from study design, follow FAIR principles,...
What Is a Data Lakehouse?
The video explains the emerging data lakehouse architecture, positioning it between traditional data warehouses—optimized for curated, ACID‑compliant SQL analytics—and data lakes, which store raw, massive‑scale files cheaply. It highlights the pain points of maintaining separate systems, such as duplicated ingestion...
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Workshop #4 - Give AI the CRE Intelligence It Needs [REPLAY]
The fourth AI Edge workshop, led by Spencer Burton of CRA Agent, tackled the core challenge of equipping artificial intelligence with real‑estate intelligence. While many participants are seasoned prompt engineers, Burton emphasized that instructions are only one leg of the...
Real Time Streaming Data Pipeline Design - Checkpointing | Apache Flink #shorts
The video explains checkpointing, a core feature of Apache Flink, using a simple streaming pipeline where Kafka supplies events, Flink maintains a count in RocksDB, and results are written downstream with a two‑phase commit. Every 30 seconds Flink snapshots the RocksDB...
Berkeley Lab’s Dr. Patrick Huck on Operationalizing Data for Discovery
The interview with Dr. Patrick Huck, principal platform architect at Lawrence Berkeley National Laboratory, centers on how the Materials Project—a cloud‑native, AI‑ready platform for material science—operationalizes data to accelerate discovery in government research settings. Huck emphasizes two pillars: embedding data pipelines...
You Have to Build Data Quality Checks and Observability 🤖
AI-powered anomaly detection is emerging as a core component of modern data pipelines. These tools automatically identify irregularities, surface likely root causes, and reduce the time engineers spend debugging. By embedding observability directly into the data flow, organizations achieve higher...
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Data Analytics With Power BI Full Course 2026 [FREE] | Power BI Tutorial For Beginners | Simplilearn
Simplilearn released a free, comprehensive Power BI full‑course video titled “Data Analytics With Power BI Full Course 2026.” The tutorial walks beginners through connecting data sources, using Power Query, building data models, and mastering DAX, calculated columns, and measures. It...
AI Will Ruin Data Analyst Jobs
The video warns that generative AI threatens traditional data‑analyst positions by automating core tasks such as query writing. The speaker points out that modern language models can produce accurate SQL statements from brief prompts when supplied with schema information, effectively eliminating...
Graph Cities and Their Applications (James Abello Monedero & Haoyang Zhang)
The talk titled “Graph Cities and their Applications” introduced a method for turning massive graphs—up to billions of edges—into city‑like visualizations that can be explored interactively. The core technique iteratively removes nodes of minimum degree, generating a sequence of “waves” or...
Interview Process Breakdown | Data Engineering | High Paying Product Based Companies #shorts
The video outlines a step‑by‑step interview roadmap for mid‑senior data engineers targeting high‑paying product firms. The first stage is a 20‑30‑minute screening call where recruiters ask basic technical questions or administer an online assessment. The second stage is a 45‑60‑minute technical...
I Built the Same AI Agent Twice. The Difference Is Insane
The video demonstrates building two identical AI agents—one powered solely by a large language model (LLM) and another using Elastic’s Agent Builder—to highlight the impact of contextual data integration. In the first test, the LLM‑only agent answers the risk‑exposure query...
Why Snowflake Is No Longer Just a Data Warehouse
Snowflake, long‑known as a pure data‑warehouse provider, is repositioning itself as an agentic AI platform that not only stores data but also enables enterprises to act on it. CEO Sridhar Ramaswamy framed 2026 as the end of the chatbot era...
Event Driven Data Pipeline Design Architecture On AWS | Part-1/100 #shorts
The video walks through a full‑stack, event‑driven data pipeline built on AWS, a frequent topic in data‑engineering interviews. It starts with external systems dropping CSV files into an S3 bucket, where an EventBridge rule detects the arrival, applies optional filters,...
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Business Analysis Full Course 2026 [FREE] | Business Analytics Tutorial For Beginners | Simplilearn
The video introduces a free, comprehensive Business Analysis Full Course designed to prepare professionals for the CBAP certification and to master the BABOK V3 framework. It outlines the curriculum—from certification logistics and the BACCM model to core knowledge areas, techniques,...
CICD Process For Spark Batch Data Pipeline On AWS
The video outlines a complete CI/CD workflow for Spark batch data pipelines running on AWS, detailing how code moves from a developer’s machine to production clusters such as EMR or Glue. In the continuous‑integration stage, GitHub Actions automatically run linting, formatting...
Learn Snowflake with ONE Project
The video walks viewers through creating a conversational AI agent that answers plain‑English questions about the U.S. economy, all built and run inside Snowflake’s unified cloud data platform. By the end, users have a functional Streamlit interface that queries CPI,...
Implementing Proactive AI for Automated Anomaly Detection
The video introduces a proactive artificial‑intelligence platform that continuously scans enterprise data to automatically detect anomalies. By flagging irregular patterns—such as sudden jumps in marketing spend tied to a particular vendor—the system surfaces insights that would otherwise remain hidden until...
This Train TRANSFORMED Britain’s Railways | #Railnatter 302
The episode of Railnatter focuses on the Plain Line Pattern Recognition (PLPR) train, a 20‑year‑old measurement unit that has become a cornerstone of Britain’s rail‑track inspection regime. Host Gareth and guest Alex, a veteran Network Rail engineer, explain why this...
Advancing the Genesis Mission Through AI-Enabled Biological Discovery
The video introduces the Department of Energy’s Orchestrated Platform for Autonomous Laboratories (Opel), a cross‑lab initiative designed to accelerate AI‑enabled biological discovery and support the broader Genesis mission. Four national laboratories—Oak Ridge, Argonne, Pacific Northwest, and Lawrence Berkeley—are pooling expertise...
AI Can Quickly Become a Confident Liar. Dimensional Insight Explains How to Prevent It.
The video introduces Dimensional Insight’s new data‑wellness offering, emphasizing that robust data governance is essential before organizations deploy AI. James Curtley and Julie Learu explain how their approach embeds governance at every stage of the data pipeline—from source extraction to...
Lambda vs Kappa Architecture Explained in 2 Minutes
The video provides a concise comparison of Lambda and Kappa architectures, two dominant paradigms for processing large‑scale data streams. Lambda, introduced to marry batch accuracy with real‑time speed, relies on separate batch and streaming pipelines, whereas Kappa streamlines the stack...
Master Dimensional Modeling Lesson 03 - Understand the ETL Pipeline
In this tutorial Brian Kafki steps back from dimensional modeling to outline the full data‑warehouse ETL pipeline, from source systems through raw ingestion, pre‑staging, staging, an operational data store (ODS) snapshot, and finally the data mart that powers BI tools. He...
AI Just Took Half the Data Engineering Jobs. Here's What's Left.
The video argues that AI is not eliminating data engineers but redefining the role, outlining a 2026 AI‑enhanced data engineering stack that promises to keep the top 1% of engineers job‑proof. Founder Chris Garzone of Data Engineer Academy walks viewers...
Job Hopping Is Why Some Data Engineers Make Way More
The video argues that frequent job-hopping can dramatically increase lifetime compensation for data engineers, claiming switchers can earn 10–20 times more than long-tenured employees. Using a hypothetical 10-year comparison, the speaker says a stay-at-home trajectory might grow from $100k to...
AWS Data Engineer Roadmap ( 2026 Edition )
The video presents a comprehensive 2026‑edition roadmap for becoming an AWS‑focused data engineer, detailing the essential services across six logical layers—from foundational infrastructure to AI‑enabled analytics. It emphasizes that product‑centric firms predominantly run on AWS, making the transition from Azure...
The New Amazon Sagemaker Walkthrough | Showing All Features
The video walks viewers through Amazon SageMaker’s newly refreshed Unified Studio, a fully managed, browser‑based environment that requires no local installation. By logging in with existing IAM permissions, users instantly access data catalogs, S3 buckets, and a suite of connection...
How Data Engineers Saved Lyft Millions in Failed Payments
Lyft’s Lift Pink subscription, offering monthly discounts, faced a surge of failed renewal payments as many users entered faulty credit‑card information during free‑trial sign‑ups. The churn threatened revenue and highlighted a systemic data‑quality problem. The engineering team discovered that transaction, payment,...
Why You’re Not Getting Hired (Wrong Role, Wrong Strategy)
The adviser tells a job seeker that their main problem is targeting the wrong role—applying as a performance engineer when they should be pursuing data engineering or AI roles—and that performance engineering may be becoming less in demand. They warn...
AI Isn’t Taking Your Job—You’re Using It Wrong
The video argues that artificial intelligence will not eliminate jobs; instead, it will add work that can be completed faster and with less effort. Using a crane analogy, the speaker likens AI to a tool that speeds construction for those...
Webinar Replay: Why, and How, Your Data Will Make or Break AI Success in 2026
The webinar focused on why data readiness will make or break AI initiatives in law firms by 2026, emphasizing that intelligent assistance and agentic workflows can only succeed on a solid, well‑organized data foundation. Speakers highlighted fragmented document repositories, inconsistent metadata,...
Stream Processing Explained in 2 Minutes
The video introduces stream processing as a fundamentally different paradigm from traditional batch analytics, emphasizing that data is handled the moment it arrives rather than waiting for scheduled aggregation. It frames the concept through vivid analogies—a hospital heart‑rate monitor and...