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Enabling intelligent experiences with Power BI for developers, data scientists, and data engineers

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Welcome to Microsoft Build.

Since our launch over five years ago, Microsoft Power BI has been enthusiastically adopted by developers across the spectrum. Today we have over three million active developers on Power BI―who harness the power of data, provide actionable insights, and deliver cloud-native intelligent experiences. Today, over 15,000 independent software vendors (ISVs) and enterprise customers use Power BI’s embedded APIs to build analytic experiences into their applications. At Microsoft Build, we are delighted to celebrate our developers and share some exciting updates for our next generation of developer experiences.

We are announcing two new capabilities in Microsoft Power BI that simplify how developers build their analytics through the power of AI. We are introducing a new capability that enables developers to save time and build more complex solutions using natural language to build DAX calculations instead of writing code. Furthermore, we are introducing a new capability that leverages machine learning to analyze usage patterns to automatically build aggregations for optimal performance without the need for data engineers to optimize queries.

Our mission is to make data analytics accessible for everyone and provide a no-code and low-code experience for every aspect of data analysis. DAX is the expression language used by millions of developers today in Power BI, Analysis Services, and Excel to define calculations that can range from one line to hundreds of lines of code. By harnessing the Power of DAX, developers can create sophisticated calculations and business logic.

I am excited to announce that we will be bringing the capability for customers to use natural language to describe what they are trying to accomplish and have Power BI automatically create a DAX expression for them. By using natural language to create DAX calculations, we are further democratizing the ability to create sophisticated business logic without having to become a DAX expert. It will also help developers save time from searching, writing, and refining formulas. At Microsoft Build, we will demonstrate a sneak peek of our new no-code experience for generating DAX natural language that is currently in development.

To enable these capabilities, Power BI is leveraging OpenAI’s GPT-3 (Generative Pre-trained Transformer 3). GPT-3 is an advanced natural language AI model, trained with 175 billion parameters, that implements deep learning to be able to both understand and produce human-like text based on a prompt in natural language. Microsoft has a strategic collaboration with OpenAI to accelerate breakthroughs in AI C from jointly developing the first supercomputer on Azure to testing and commercializing new AI technologies.

Power BI is committed to Microsoft’s responsible AI principles that ensure the use of AI is fair, inclusive, reliable, and respects privacy and security. The use of GPT-3 within Power BI has undergone extensive training with built-in safety controls to ensure that no harmful outputs are generated. Furthermore, GPT-3 leverages user input to generate the best formula options that enables an AI augmented developer experience and Power BI developers to maintain complete control of which formulas are applied by selecting the expression from a list of generated options.

Customers like Walmart are increasingly analyzing massive volumes of data in Power BI. Power BI introduced aggregations―which combine the best of Power BI’s in-memory capabilities with the big data capabilities of Azure Synapse Analytics or other big data sources to provide fast interactive analysis over trillions of rows of data.

Building aggregations in Power BI require a data engineer to analyze telemetry and design an optimized set of tables that enable the most common queries to be handled by Power BI’s blazingly fast in-memory Vertipaq engine and have the less frequent, detailed queries delegated to the big data store.

I am excited to announce that the preview of automatic aggregations over any data source including SQL, Azure Synapse Analytics, and other third-party big data sources will be coming to Power BI in July this year.

This new capability uses a machine learning model to analyze the query patterns from Power BI to the big data store and automatically design and build the aggregations in Power BI that deliver optimal performance. The machine learning model runs in the background, continuously tuning the aggregations as usage grows and usage patterns change. Automatic aggregations in Power BI will enable all Power BI Premium customers to benefit from the performance acceleration that Power BI provides, without having to invest in expensive and time-consuming data engineering resources.

Learn more by watching the on-demand Microsoft Build session,?Power BI for BI Pros and Data Engineers.

Customers want to work with data as it comes in, and not days, or weeks later. Our vision is simple ― the distinctions between batch, real-time, and streaming data today will disappear. Customers should be able to work with all data as soon as it is available.

I am excited to announce that Power BI streaming dataflows will be coming to you this July in preview.

Streaming dataflows allows every business analyst to work with streaming data with beautiful, drag and drop, no-code experiences. You will be able to mix and match your streaming data with your batch data. Working with streaming data is no longer limited just to data engineers.

Users can connect to streaming data (Azure IoT Hub and Azure Event Hub by preview) and combine it with reference data to perform data preparation operations like joins and filters as well as time windowing aggregations (such as tumbling, hopping, and session windows) for group by operations. All of Power BI’s rich data visualization capabilities will work with streaming data just as it does with batch data today. Streaming dataflows is included as part of Power BI Premium.

Streaming dataflows in Power BI empowers your organization to:

Make confident decisions in near real-time. Be more agile and take meaningful actions based on the most up to date insights.
Democratize streaming data. Make data more accessible and easier to interpret with a no-code solution and reduce IT resources.
Accelerate time to insight. End-to-end streaming analytics solution with integrated data storage and BI.

Customers like Grab have been leveraging streaming dataflows in private preview, testing, and benefiting from the power of streaming data capabilities beyond what current solutions can offer while providing business users with potential faster and better insights.

Learn more by attending the Microsoft Build breakout session,?Scale, analyze and serve Microsoft Dynamics 365 application data with Azure on May 26, 2021.

We are excited to announce a brand new open-source Python package that enables you to tell compelling stories inside Jupyter notebooks. Now, you can provide live reporting, educational visualizations, or quick access to analysis and saved views in a production context. And the best part is you can start embedding in Jupyter notebooks now with a free trial of Power BI Pro.

By embedding Power

FL Studio 21.0.0官方中文版重磅发布，纯正简体中文支持，支持Mac苹果M2／1

FL Studio 21.0.0官方中文版重磅发布，纯正简体中文支持，更快捷的音频剪辑及素材管理器，多样主题随心换！

Mac版新增对苹果M2/1家族芯片原生支持。

更新版本：21.0.0
支持语言：简体中文/英语
更新时间：2022.12.07
支持系统：Windows8.1/10/11
（仅限64位）MacOS 10.13.6 或更高

丰富的主题换肤

现在大家可以通过控制色调、饱和度、亮度、文本、仪表和步进序列器的颜色来改变你的DAW外观，

变得与众不同。

更快的音频编辑

FL Studio 21 集成了音频剪辑包络和增益控制，你可以更快、更精确地控制音频，包括自动交叉淡入淡出和更多功能。

智能的文件管理

针对我们最常用的文件管理器，本次更新增加了超级多的功能，诸如标签、收藏、自定义颜色-图标-标签，可以直接浏览在线内容，升级为带有可视化带有音量控制的在线音频播放器。

如果你一直梦想制作自己的音乐(无论是作为一名制作人还是艺术家)，你可能会想你出生在这个时代是你的幸运星。这个水果圈工作室和上一版之间的改进水平确实令人钦佩。这仅仅是FL Studio 21所提供的皮毛。你的音乐项目的选择真的会让你大吃一惊。你以前从未有过这样的多才多艺。

由于技术和强大的工具，如数字音频工作站解决方案，你永远不必担心进入我的音乐世界的障碍，甚至在10年或15年前就已经存在。

flstudio21汉化破解版是一款十分强大的音频编辑软件，整体十分的干净清爽还有很丰富的用户界面和功能可以让你去使用体验，海量的功能为你集成全都自动完成了激活，快来一起下载试试吧。

fl studio21安装教程

1、在这里下载解压，得到flstudio21最新win64_21.0.0.3318中文版安装包；

FL Studio Win版下载地址： https://souurl.cn/4D6Cwh

FL Studio Mac版下载地址： https://souurl.cn/UKoRJb

3、选择为全部用户安装，继续下一步；

4、选择自己需要添加的附加，记得添加桌面快捷方式，方便日后打开软件；

5、默认安装目录【C:\Program Files (x86)\Image-Line\FL Studio 21】，依提示继续安装；

6、软件安装完成后。

flstudio21汉化破解版是一款专业强大的多功能音频处理软件，该软件致力于为用户提供全方位的编曲服务，为你打造一个去全数字音频工作站。fl studio中文正式版采用全新的矢量界面，布局合理，更加直观实用，同时提供编排、录制、编辑、混音等多种操作，内置众多电子合成音色、80多种乐器和效果插件，能够完美实现多种音效，其强大的兼容性可以被灵活应用于在不同设备。返回搜狐，查看更多

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