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Tech with Gbenga
เข้าร่วมเมื่อ 4 ต.ค. 2015
Discover the latest in Data Engineering and Analytics with my channel! Here, we focus on empowering you with the knowledge and skills you need to succeed in this exciting field.
Join me as we explore data-driven tools, listen to insightful podcasts and interviews with industry experts, dive into Python programming, and build portfolio projects to showcase your abilities.
Whether you're an experienced data professional or just starting your journey, you'll find something of value here.
Get ready to take your Data Analytics and Engineering skills to the next level.
Join me as we explore data-driven tools, listen to insightful podcasts and interviews with industry experts, dive into Python programming, and build portfolio projects to showcase your abilities.
Whether you're an experienced data professional or just starting your journey, you'll find something of value here.
Get ready to take your Data Analytics and Engineering skills to the next level.
Working With Direct Lake Storage Mode on Fabric
Don't miss out on the latest episode of Series on Fabric Friday, where we dive into the groundbreaking capabilities of Direct Lake Mode in Power BI! 🎬
⏱️ Timestamps:
00:00 - Introduction
01:10 - DirectQuery: Real-Time Insights, but at a Cost
02:26 - Import Mode: Accelerated Performance, Cached Intelligence
03:40 - The Revolutionary Direct Lake Mode Emerges
04:00 - Hands-on Lab and Demo Session
07:10 - Creating Data Pipeline and Data Ingestion Into Lakehouse
29:10 - Benefits of Direct Lake Storage Mode
29:40 - Conclusion
In this video, I'll show you how Direct Lake Mode surpasses traditional DirectQuery and Import modes, unlocking a new level of data analysis power. 🚀
🎯 Discover the advantages of each mode:
- DirectQuery: Real-Time Insights, but at a Cost
Power BI provides real-time insights by querying the data directly at the source. However, network latency and other factors can affect performance, making it slower.
- Import Mode: Accelerated Performance, Cached Intelligence
Import mode optimizes performance by caching and optimizing data for business intelligence queries. Although it speeds up query response times, changes from the source only reflect in the next dataset refresh.
💡 The Revolutionary Direct Lake Mode Emerges
Introducing Direct Lake Mode - the superhero of data analysis! 🌟 This game-changing mode eliminates the need for importing data, loading it directly from OneLake.
🏆 Advantages of Direct Lake Mode:
1️⃣ Real-Time Insights: Get real-time analysis without sacrificing speed. Direct Lake Mode fetches data directly from OneLake, ensuring up-to-date information for your reports and dashboards.
2️⃣ Lightning-Fast Performance: Experience optimal performance with cached intelligence. Analyze large datasets and complex queries quickly, enabling seamless data exploration.
3️⃣ Instant Data Reflection: Say goodbye to data lag! Changes in the data source are immediately reflected in your reports and dashboards. Stay in sync with evolving data without manual refreshes.
4️⃣ Scalability and Flexibility: Direct Lake Mode handles vast amounts of data, which is ideal for analyzing large datasets and frequently updated sources. Direct Lake Mode has you covered, whether terabytes of information or ever-changing data!
Don't miss out on the game-changer you've been waiting for! 🌊 Unlock the full potential of Power BI with Direct Lake Mode. Join the wave of fast, real-time insights and efficient data analysis. 🌊💡
📺 Watch now and stay tuned for more exciting episodes on Microsoft Fabric next week!
⏱️ Timestamps:
00:00 - Introduction
01:10 - DirectQuery: Real-Time Insights, but at a Cost
02:26 - Import Mode: Accelerated Performance, Cached Intelligence
03:40 - The Revolutionary Direct Lake Mode Emerges
04:00 - Hands-on Lab and Demo Session
07:10 - Creating Data Pipeline and Data Ingestion Into Lakehouse
29:10 - Benefits of Direct Lake Storage Mode
29:40 - Conclusion
In this video, I'll show you how Direct Lake Mode surpasses traditional DirectQuery and Import modes, unlocking a new level of data analysis power. 🚀
🎯 Discover the advantages of each mode:
- DirectQuery: Real-Time Insights, but at a Cost
Power BI provides real-time insights by querying the data directly at the source. However, network latency and other factors can affect performance, making it slower.
- Import Mode: Accelerated Performance, Cached Intelligence
Import mode optimizes performance by caching and optimizing data for business intelligence queries. Although it speeds up query response times, changes from the source only reflect in the next dataset refresh.
💡 The Revolutionary Direct Lake Mode Emerges
Introducing Direct Lake Mode - the superhero of data analysis! 🌟 This game-changing mode eliminates the need for importing data, loading it directly from OneLake.
🏆 Advantages of Direct Lake Mode:
1️⃣ Real-Time Insights: Get real-time analysis without sacrificing speed. Direct Lake Mode fetches data directly from OneLake, ensuring up-to-date information for your reports and dashboards.
2️⃣ Lightning-Fast Performance: Experience optimal performance with cached intelligence. Analyze large datasets and complex queries quickly, enabling seamless data exploration.
3️⃣ Instant Data Reflection: Say goodbye to data lag! Changes in the data source are immediately reflected in your reports and dashboards. Stay in sync with evolving data without manual refreshes.
4️⃣ Scalability and Flexibility: Direct Lake Mode handles vast amounts of data, which is ideal for analyzing large datasets and frequently updated sources. Direct Lake Mode has you covered, whether terabytes of information or ever-changing data!
Don't miss out on the game-changer you've been waiting for! 🌊 Unlock the full potential of Power BI with Direct Lake Mode. Join the wave of fast, real-time insights and efficient data analysis. 🌊💡
📺 Watch now and stay tuned for more exciting episodes on Microsoft Fabric next week!
มุมมอง: 107
วีดีโอ
Getting Started with Microsoft Fabric's Lakehouse in 2025
มุมมอง 416ปีที่แล้ว
Welcome to my TH-cam channel! In this video, I invite you to embark on an exciting journey into the world of Microsoft Fabric's Lakehouse, where you dive deep into the realm of next-generation data analytics. Discover how Microsoft Fabric's Lakehouse revolutionizes the way you manage and analyze data. Join us as I explore the incredible power and potential that this innovative solution brings t...
How to Add Row-Level Security (RLS) In Your Power BI Report
มุมมอง 97ปีที่แล้ว
How to Add Row-Level Security (RLS) In Your Power BI Report Welcome to "How to Add Row-Level Security(RLS) In Your Power BI Report"! This comprehensive tutorial delves into the world of data security and empowers you to add row-level security to your Power BI reports. Data security is of utmost importance in any data-driven organisation. It involves controlling access to sensitive data and ensu...
Mastering Data Preparation: Transforming Dirty Datasets with Microsoft Power Query Editor
มุมมอง 141ปีที่แล้ว
Welcome to "Mastering Data Preparation: Transforming Dirty Datasets with Microsoft Power Query Editor"! In this comprehensive tutorial, we dive deep into the world of data preparation and unleash the full potential of Microsoft Power Query Editor to clean, transform, and prepare your data for analysis. Data preparation is a critical step in any data-driven project. It involves cleaning, structu...
Getting Started with Microsoft Fabric in 2025
มุมมอง 146ปีที่แล้ว
🔍 Microsoft Fabric: Unleashing the Power of Unified Data and AI 🔍 Looking to streamline your data management and empower your teams with powerful AI capabilities? Discover Microsoft Fabric, the all-in-one platform that brings together your data estate, enables AI model development, and empowers every individual in your organization to leverage insights within Microsoft 365 apps. 🚀💡 🔗 Watch the ...
Creating Date Table Dimension On Power BI in 2025
มุมมอง 325ปีที่แล้ว
📅 Creating Date Dimension in Data Analysis Project: Unveiling Time Series Insights 🕰️ Looking to unlock valuable insights from time series data? Discover the importance of a Date Dimension Table in your data analysis projects and unleash the power of time-based analysis. 🔍 Dive into this comprehensive guide to understand what a Date Dimension Table is and why it's essential for your analysis: ⏰...
Data Exploration With NumPy (Part 2 of 2)
มุมมอง 43ปีที่แล้ว
Title: Mastering Data Exploration with NumPy: Essential Tools for Efficient Analysis 2 Description: This is a two-out-of-two video tutorial on NumPy Arrays in Python. Are you ready to supercharge your data exploration skills? Join us in this comprehensive tutorial on leveraging the power of NumPy for efficient data analysis. NumPy, a fundamental library in Python, provides essential tools for w...
Data Exploration With NumPy ( Part 1 of 2 )
มุมมอง 93ปีที่แล้ว
Title: Mastering Data Exploration with NumPy: Essential Tools for Efficient Analysis 1 Description: This is a one out of two video tutorial on NumPy Arrays in Python. Are you ready to supercharge your data exploration skills? Join us in this comprehensive tutorial on leveraging the power of NumPy for efficient data analysis. NumPy, a fundamental library in Python, provides essential tools for w...
Delivering a Modern Data Platform Solution
มุมมอง 29ปีที่แล้ว
As an experienced data analyst, I'm always excited to explore how technology can help businesses grow. 🚀 Recently, I had the opportunity to work on an exciting open-source project for an organization in the events industry, where I showcased my skills and expertise in data-driven solutions. 👉 The challenge was to build a modern data platform that could help the organization make data-driven dec...
Customer Cohort Analysis Project
มุมมอง 113ปีที่แล้ว
As a data analyst, I recently had the opportunity to work on a fascinating project involving online retail sales data with over 1 million transactions. I used Microsoft Power BI to create a model, measures, and calculated columns that allowed me to build a comprehensive cohort and customer retention report. The resulting report provides the business with the ability to answer a wide range of qu...
Creating Data Models In 2025: A Step-by-Step Guide with Power BI
มุมมอง 2Kปีที่แล้ว
In this walkthrough video, you'll learn how to create data models during data analysis using Microsoft Power BI and Draw.io. A data model is a visual representation of your data that helps you understand its relationships, hierarchies, and structures. With Power BI and Draw.io, you can easily create and customize data models to fit your specific needs. In this video, we'll cover the following t...
Breaking Into Tech in 2025 | Introductory Video
มุมมอง 146ปีที่แล้ว
Breaking Into Tech in 2025 | Introductory Video
Well done. I enjoyed every bit of it.
Thanks for your comment! I'mn glad you enjoyed it.
Thank you, this is very useful and the explanation is very clear.
I'm glad you found it useful
This is great, my company is about to impliment this program into our processes and its good to get an intro for how it works.
Thank you for your nice comment. I'm glad you found the video useful!
Excellent video. I’m getting started on building a dashboard for my company and this is the 5th video I’ve seen that puts extra emphasis on adding a date table. Thank you for making my project easier and accurate.
Hi Joel Abacherli, Thank you so much for your comment! I'm thrilled to hear that you found the video helpful in building your dashboard for your company. It's great that you've come across multiple resources emphasizing the importance of adding a date table. Incorporating a date table can indeed make your project easier and ensure accuracy in your data analysis.
Can you provide the PBIX file please.
Sample Data Source: learn.microsoft.com/en-us/power-bi/create-reports/sample-financial-download Create Date Dimension Model From M Query: devinknightsql.com/2015/06/16/creating-a-date-dimension-with-power-query/
Great Content!
Thank you @Olaoluwa