Rajendra Prasad Ongole
Bosch
準備好開始使用 AI 和最新技術嗎? Microsoft Reactor 提供活動、訓練和社群資源,協助開發人員、企業家和初創公司建置 AI 技術等等。 加入我們!
準備好開始使用 AI 和最新技術嗎? Microsoft Reactor 提供活動、訓練和社群資源,協助開發人員、企業家和初創公司建置 AI 技術等等。 加入我們!
主題: 新式資料與分析, 資料與分析
語言: 英文
Unlock the full potential of Microsoft Fabric and Power BI in this four-part series designed for data professionals and analysts. From exploring large datasets with PySpark to real-time analytics, seamless deployment pipelines, and optimizing SQL Server data warehouses, each session will equip you with practical skills to enhance efficiency and performance. Join us to gain hands-on insights and best practices for leveraging Microsoft’s powerful data ecosystem.
演講者
時區 - 國際標準時間
4月
02
星期三
2025
Data Exploration with PySpark in Microsoft Fabric
9:30 上午 - 10:30 上午 (UTC)
Discover how to harness the power of PySpark within Microsoft Fabric to analyze and visualize large datasets. This notebook demonstrates data loading, transformation, and analysis using Spark's distributed computing capabilities. Ideal for data scientists and analysts looking to unlock insights from big data. Read more: https://aka.ms/Python-Guide
主題: 新式資料與分析
語言: 英文
4月
22
星期二
2025
Real-Time Analytics Made Easy with Microsoft Fabric
9:30 上午 - 10:30 上午 (UTC)
Unlock the power of real-time analytics with Microsoft Fabric's robust data integration and processing tools. This guide demonstrates how to connect, transform, and visualize live data streams seamlessly. Ideal for businesses seeking instant insights to drive agile decision-making. Learn more: https://aka.ms/WhatisReal-TimeIntelligence
主題: 資料與分析
語言: 英文
5月
14
星期三
2025
Seamless Deployment Pipelines with Power BI
9:30 上午 - 10:30 上午 (UTC)
Learn how to streamline your analytics workflow with Power BI's deployment pipelines, enabling smooth transitions from development to production. This guide covers setup, best practices, and tips for managing dataflows, datasets, and reports. Ideal for teams looking to enhance efficiency and maintain data integrity. Learn more: https://aka.ms/Whatisdeploymentpipelines
主題: 資料與分析
語言: 英文
5月
28
星期三
2025
Boosting Performance in Your SQL Server Data Warehouse
9:30 上午 - 10:30 上午 (UTC)
Learn proven strategies to enhance the performance of your SQL Server data warehouse, from query optimization to indexing and partitioning techniques. This guide provides practical tips to reduce latency and improve data processing speed. Ideal for database administrators and data engineers aiming for efficient, high-performing data environments. Learn more: https://aka.ms/guidelines-warehouse-performance
主題: 資料與分析
語言: 英文
時區 - 國際標準時間
4月
02
星期三
2025
Data Exploration with PySpark in Microsoft Fabric
9:30 上午 - 10:30 上午 (UTC)
Discover how to harness the power of PySpark within Microsoft Fabric to analyze and visualize large datasets. This notebook demonstrates data loading, transformation, and analysis using Spark's distributed computing capabilities. Ideal for data scientists and analysts looking to unlock insights from big data. Read more: https://aka.ms/Python-Guide
主題: 新式資料與分析
語言: 英文
4月
22
星期二
2025
Real-Time Analytics Made Easy with Microsoft Fabric
9:30 上午 - 10:30 上午 (UTC)
Unlock the power of real-time analytics with Microsoft Fabric's robust data integration and processing tools. This guide demonstrates how to connect, transform, and visualize live data streams seamlessly. Ideal for businesses seeking instant insights to drive agile decision-making. Learn more: https://aka.ms/WhatisReal-TimeIntelligence
主題: 資料與分析
語言: 英文
5月
14
星期三
2025
Seamless Deployment Pipelines with Power BI
9:30 上午 - 10:30 上午 (UTC)
Learn how to streamline your analytics workflow with Power BI's deployment pipelines, enabling smooth transitions from development to production. This guide covers setup, best practices, and tips for managing dataflows, datasets, and reports. Ideal for teams looking to enhance efficiency and maintain data integrity. Learn more: https://aka.ms/Whatisdeploymentpipelines
主題: 資料與分析
語言: 英文
5月
28
星期三
2025
Boosting Performance in Your SQL Server Data Warehouse
9:30 上午 - 10:30 上午 (UTC)
Learn proven strategies to enhance the performance of your SQL Server data warehouse, from query optimization to indexing and partitioning techniques. This guide provides practical tips to reduce latency and improve data processing speed. Ideal for database administrators and data engineers aiming for efficient, high-performing data environments. Learn more: https://aka.ms/guidelines-warehouse-performance
主題: 資料與分析
語言: 英文