
作为世界上最大的云提供商,Amazon Web Services凭借其新的业务分析服务QuickSight进入BI游戏也就不足为奇了。无论您已经将数据存储在Amazon Cloud还是其他地方,QuickSight都可以让您分析数据以获得关键的商业见解,从而为更好的决策提供依据。
Amazon QuickSight是一项新的基于云的业务分析服务,使用户能够可视化并从其数据中提取业务见解。本课程教您如何在Amazon最新服务之一中连接,准备和分析数据。在本课程中,您将介绍AWS Big Data生态系统的端到端架构,包括使用Lambda将数据导入S3存储,使用Athena准备数据,连接Athena和QuickSight SPICE,最后使用QuickSight可视化数据。本课程将涵盖的主要主题包括大数据分析和AWS服务,QuickSight帐户创建,将数据连接到QuickSight,使用功能进行数据准备,QuickSight可视化效果,仪表板和故事。
在本课程结束时,您将掌握使用QuickSight和其他相关服务在AWS中构建数据分析解决方案所需的技能。
h264, yuv420p, 1920×1080 |ENGLISH, aac, 48000 Hz, 2 channels, s16 | 2h 33 mn | 724.42 MB
Instructor: Rajesh Nadipalli
Create interactive dashboards that drive better decision-making using QuickSight
Learn
Create actionable information by applying data storytelling that drives better decision making and resonates with your audience.
Understand AWS Big Data ecosystem services and how they can be used to build a cloud-based analytical solution with QuickSight for visualization.
Construct calculations to declutter your dashboards and build compelling charts.
Generate user interactivity and discovery through the use of filters, parameters, and actions in QuickSight.
Discover advanced features in QuickSight including machine learning-based forecasting, anomaly detection, and mobile application.
About
As the largest cloud provider in the world, it’s no surprise that Amazon Web Services is getting into the BI game with its new business analytics service: QuickSight. Whether you already store your data in the Amazon Cloud or elsewhere, QuickSight allows you to analyze your data to gain those critical business insights that inform better decision-making.
Amazon QuickSight is a new, cloud-based business analytics service enabling users to visualize and extract business insight from their data. This course teaches you how to connect, prepare and analyze your data inside one of Amazon’s newest services. In this course, you will cover an end to end architecture on AWS Big data ecosystem from importing data to S3 storage using Lambda, preparing data using Athena, connecting Athena and QuickSight SPICE and finally visualizing the data using QuickSight. The major topics that will be covered in this course include Big Data Analytics and AWS services, QuickSight account creation, connecting your data to QuickSight, data preparation using functions, QuickSight visualizations, dashboards, and stories.
By the end of this course, you’ll have mastered the skills required to build a data analytics solution in AWS using QuickSight along with other related services.
The code bundle for this video course is available at – https://github.com/PacktPublishing/Interactive-Dashboards-with-Amazon-QuickSight
Features
This course will set you up to successfully build dashboards easily and share them with stakeholders or customers in little time.
The courses are set up in chapters so that you can learn at your own pace. You could be building an interactive dashboard within a week’s time.
We offer quizzes to help you determine how well you caught important keys and we even give you data for your project to work with the help of videos, real interactive learning. We even have added bonus lessons.
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