#AmazonQuickSight

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Amazon QuickSight: Hyperscale Unified Business Intelligence

Amazon QuickSight, Business Analytics Service: Hyperscale unified business intelligence

What is Amazon Quicksight?

You may utilize Amazon QuickSight, a cloud-scale business intelligence (BI) tool, to provide your colleagues with clear insights no matter where they are. Data from several sources is combined via Amazon QuickSight, which links to your data in the cloud. QuickSight can combine data from AWS, third parties, spreadsheets, SaaS, B2B, and other sources into a single data dashboard. As a fully managed cloud-based solution, Amazon QuickSight offers built-in redundancy, worldwide availability, and enterprise-grade security. You can scale from 10 users to 10,000 with its user-management features, and you won’t need to deploy or manage any infrastructure.

QuickSight provides a visual environment that allows decision makers to examine and analyze information. Any device on your network, including mobile devices, can safely access dashboards.

Amazon QuickSight BI

Created with all end users in mind

Answers with pertinent visuals can be provided to end users in organizations who ask queries in natural language.

Analysts for business

Business analysts don’t need client software or server infrastructure to generate and distribute pixel-perfect dashboards and visualizations in a matter of minutes.

With strong AWS APIs, developers can scale and implement integrated analytics for apps with hundreds or thousands of users.

Managers

QuickSight adapts to the demand automatically, allowing administrators to deliver constant performance. Because of its pay-per-session model, QuickSight is affordable for both small and large-scale implementations.

What Makes QuickSight Unique?

Individuals inside your company make decisions that impact your company on a daily basis. They can take the decisions that will steer your business in the right path if they have the proper information at the right time.

For analytics, data visualization, and reporting, Amazon QuickSight offers the following advantages:

Pay just for the things you use.

Add tens of thousands of users.

It’s simple to incorporate statistics to make your apps stand out.

All users can enable BI with QuickSight Q

The response time of the SPICE in-memory engine is lightning fast.

The total cost of ownership (TCO) is inexpensive and there are no license fees up front.

Analytics for collaboration without requiring the installation of an application.

Consolidate several data sources into a single study.

Share your analysis as a dashboard by publishing it.

Activate the dashboard’s functions.

You can avoid managing fine-grained database permissions because dashboard visitors can only see the content you share.

More capabilities are available for more experienced users with QuickSight Enterprise edition

Includes the following additional enterprise security features:

Single sign-on (IAM Identity Center), federated users, and groups using AWS Directory Service for Microsoft Active Directory, SAML, OpenID Connect, or Identity and Access Management (IAM) Federation.

Specific authorization to access AWS data.

Row-level protection.

At-rest, extremely safe data encryption.

Access to Amazon Virtual Private Cloud data as well as on-premises data

For users assigned to the “reader” security role dashboard subscribers who view reports but do not generate them it provides pay-per-session pricing.

Enables you to integrate QuickSight with your own apps and websites by implementing dashboard sessions and console analytics incorporated.

Enables value-added resellers (VARs) of analytical services to use our business’s multitenancy features.

Allows you to write dashboard templates programmatically so they may be shared across different AWS accounts.

Organizes and manages access more easily with shared and private folders for analytical resources.

More frequent scheduled data refreshes and higher data import quotas for SPICE data intake are made possible.

Watch the video below for a two-minute overview of Amazon QuickSight and to find out more. All the pertinent information is in the audio.

Amazon Q in QuickSight

With the help of your generative AI helper, gain insights more quickly and make smarter decisions.

For everyone, generative business intelligence

Make decisions more quickly and increase company efficiency with QuickSight’s Generative BI features, which are powered by Amazon Q. With dashboard-authoring capabilities, business analysts can quickly create, discover, and disseminate insightful information through natural language prompts. Make data easier for business users to grasp with configurable data stories, executive summaries, and a context-aware Q&A experience that uses insights to guide and influence choices.

Visual dashboards that are dynamic and created by you

It’s simple to create impressive dashboards by using natural language to express your goals. You can use natural language prompts to create, find, hone, and share valuable insights in a matter of minutes.

Use your data to create intriguing narratives

Produce eye-catching documents and presentations that make your data come to life. Highlight important discoveries, clearly communicate complicated concepts, and provide doable next steps to advance your company.

Your Q&A experience was transformed

Investigate your data with confidence outside of the constraints of pre-made dashboards. Suggested inquiries, data previews, and support for ambiguous searches make it simple to find important insights in your data.

More methods QuickSight’s Amazon Q provides faster insights.

Quickly create intricate computations

It’s no longer necessary to commit syntax to memory or look up computation references. Amazon Q makes it easy and uncomplicated to build computations using natural language.

Produce executive summaries in real time

Create executive summaries, period-over-period changes, and important insights quickly from anywhere on your dashboard with Amazon Q.

Amazon Q in QuickSight benefits

Get more done with AI

Business users can quickly create, find, and share actionable insights with Amazon Q’s Generative BI features in QuickSight. When new queries arise, users don’t have to wait for BI teams to update dashboards. Self-serve querying, automated executive summaries, and interactive data storytelling with natural language prompts are all made feasible by generative BI. By rapidly creating and improving computations and graphics, business analysts can increase productivity with Generative BI.

Ensure privacy and security

With security and privacy in mind, Amazon Q was created. It can comprehend and honor your current governance identities, roles, and permissions to tailor its interactions. Amazon Q is made to satisfy the most exacting business needs in QuickSight. Users cannot access data within Amazon Q if they are not allowed to do so without it. No one other than you can utilize your data or Amazon Q inputs and outputs to enhance models of Amazon Q.

Utilize AI analytics to empower everyone

Amazon Q in QuickSight makes it easy and clear for anyone to confidently understand data. AI-driven analytics enable data-driven decision-making for everyone with easily accessible and actionable insights, regardless of experience level. Even ambiguous questions in natural language are addressed with thorough, contextual responses that provide detailed explanations of data together with images and anecdotes to ensure that everyone can examine the information and comprehend it more thoroughly.

Amazon QuickSight pricing

Amazon QuickSight on the Free TierPRODUCTDESCRIPTION FREE TIER OFFER DETAILS PRODUCT PRICINGAmazon QuickSightFast, easy-to-use, cloud-powered business analytics service at 1/10th the cost of traditional BI solutions.30 Days Free10 GB of SPICE capacity for the first 30 days for free for a total of 4 usersAmazon QuickSight Pricing

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#visualpathpro provides top-quality #AWSQuicksight Online Training / corporate training with real-time expert instructors and hands-on projects. Our #amazonquicksight Training, from industry experts and gain hands-on experience We provide to individuals globally in the USA, UK, etc. To schedule a demo, call +91-9989971070.

Key Points: AWS, Amazon S3, Amazon Redshift, Amazon RDS, Amazon Athena, AWS Glue, Amazon DynamoDB, AWS IoT Analytics, ETL Tools.

Whatsapp: https://www.whatsapp.com/catalog/919989971070

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#AWSQuickSight#DataVisualization#AWSDataAnalytics#CloudAnalytics#DataDriven#BusinessIntelligence#MachineLearning#DataAnalytics#AWSCloud

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Use AWS Supply Chain Analytics To Gain Useful Knowledge

Use AWS Supply Chain Analytics to unleash the power of your supply chain data and obtain useful insights.

AWS Supply Chain

Reduce expenses and minimize risks with a supply chain solution driven by machine learning.

Demand forecasting and inventory visibility, actionable insights, integrated contextual collaboration, demand and supply planning, n-tier supplier visibility, and sustainability information management are all enhanced by AWS Supply Chain, a cloud-based supply chain management application that aggregates data and offers ML-powered forecasting techniques. In addition to utilizing ML and generative AI to transform and combine fragmented data into the supply chain data lake (SCDL), AWS Supply Chain can interact with your current solutions for enterprise resource planning (ERP) and supply chain management. Without requiring replatforming, upfront license costs, or long-term commitments, AWS Supply Chain may enhance supply chain risk management.

Advantages

Reduce the risk of overstock and stock-outs

Reduce extra inventory expenditures and enhance consumer experiences by reducing the risk of overstock and stock-outs.

Increase visibility quickly

Obtain supply chain visibility quickly without having to make long-term commitments, pay upfront license fees, or replatform.

Actionable insights driven by ML

Use actionable insights driven by machine learning (ML) to make better supply chain decisions.

Simplify the process of gathering sustainability data and collaborating on supply plans

Work with partners on order commitments and supply plans more safely and conveniently. Determine and address shortages of materials or components and gather sustainability data effectively.

AWS is announcing that AWS Supply Chain Analytics, which is powered by Amazon QuickSight, is now generally available. Using your data in AWS Supply Chain, this new functionality enables you to create personalized report dashboards. Your supply chain managers or business analysts can use this functionality to visualize data, conduct bespoke analysis, and obtain useful insights for your supply chain management operations.

Amazon QuickSight embedded authoring tools are integrated into the AWS Supply Chain user interface, and AWS Supply Chain Analytics makes use of the AWS Supply Chain data lake. You may create unique insights, measurements, and key performance indicators (KPIs) for your operational analytics using this integration’s unified and customizable interface.

Furthermore, AWS Supply Chain Analytics offers pre-made dashboards that you may use exactly as is or alter to suit your requirements. The following prebuilt dashboards will be available to you at launch:

Plan-Over-Plan Variance: Shows differences in units and values across important dimensions including product, site, and time periods by comparing two demand plans. Seasonality Analytics: Provides a view of demand from year to year, showing trends in average demand quantities and emphasizing seasonality patterns with monthly and weekly heatmaps.

Let’s begin

Allow me to explain you about AWS Supply Chain Analytics’ features.

Turning on AWS Supply Chain Analytics is the first step. Go to Settings, pick Organizations, and then pick Analytics to accomplish this. You can enable analytics data access here.

Now you can add new roles with analytics access or edit roles that already exist.

After this feature is activated, you may choose the Connecting to Analytics card or Analytics from the left navigation menu to access the AWS Supply Chain Analytics feature when you log in to AWS Supply Chain.

The Supply Chain Function dropdown list then allows you to choose the prebuilt dashboards you require:

The best thing about these prebuilt dashboards is how simple it is to get started. All of the data, analysis, and even a dashboard will be prepared for me by AWS Supply Chain Analytics. You click Add to get started.

Then view the results when navigating to the dashboard page. Additionally, you can share this dashboard with your colleagues, which enhances teamwork.

You can go to Datasets and choose New Datasets if you need to add more datasets in order to create a custom dashboard.

You can leverage an existing dataset in this case, which is the AWS Supply Chain data lake.

You can leverage an existing dataset in this case, which is the AWS Supply Chain data lake.

After that, you may decide which table to use in your analysis. You can view every field that is provided in the Data section. AWS Supply Chain creates all data sets that begin with asc_, including supply planning, demand planning, insights, and other data sets.

Additionally, you can locate every dataset you have added to the AWS Supply Chain. One thing to keep in mind is that before using AWS Supply Chain Analytics, you must ingest data if you haven’t already done so in AWS Supply Chain Data Lake.

You can begin your analysis at this point.

Currently accessible

In every country where AWS Supply Chain is available, AWS Supply Chain Analytics is now widely accessible. Try using AWS Supply Chain Analytics to see how it can change your operations.

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Amazon Redshift: A Quick-Start Guide To Data Warehousing

Amazon Redshift offers the finest price-performance cloud data warehouse to support data-driven decision-making.

What is Amazon Redshift?

Amazon Redshift leverages machine learning and technology created by AWS to provide the greatest pricing performance at any scale, utilizing SQL to analyze structured and semi-structured data across data lakes, operational databases, and data warehouses.

With only a few clicks and no data movement or transformation, you can break through data silos and obtain real-time and predictive insights on all of your data.

With performance innovation out of the box, you may achieve up to three times higher pricing performance than any other cloud data warehouse without paying extra.

Use a safe and dependable analytics solution to turn data into insights in a matter of seconds without bothering about infrastructure administration.

Why Amazon Redshift?

Every day, tens of thousands of customers utilize Amazon Redshift to deliver insights for their organizations and modernize their data analytics workloads. Amazon Redshift’s fully managed, AI-powered massively parallel processing (MPP) architecture facilitates swift and economical corporate decision-making. With AWS’s zero-ETL strategy, all of your data is combined for AI/ML applications, near real-time use cases, and robust analytics. With the help of cutting-edge security features and fine-grained governance, data can be shared and collaborated on safely and quickly both inside and between businesses, AWS regions, and even third-party data providers.

Advantages

At whatever size, get the optimal price-performance ratio

With a fully managed, AI-powered, massively parallel processing (MPP) data warehouse designed for speed, scale, and availability, you can outperform competing cloud data warehouses by up to six times.

Use zero-ETL to unify all of your data

Use a low-code, zero-ETL strategy for integrated analytics to quickly access or ingest data from your databases, data lakes, data warehouses, and streaming data.

Utilize thorough analytics and machine learning to optimize value

Utilize your preferred analytics engines and languages to run SQL queries, open source analytics, power dashboards and visualizations, and activate near real-time analytics and AI/ML applications.

Use safe data cooperation to innovate more quickly

With fine-grained governance, security, and compliance, you can effortlessly share and collaborate on data both inside and between your businesses, AWS regions, and even third-party data sets without having to move or copy data by hand.

How it works

In order to provide the best pricing performance at any scale, Amazon Redshift leverages machine learning and technology created by AWS to analyze structured and semi-structured data from data lakes, operational databases, and data warehouses using SQL.

Use cases

Boost demand and financial projections

Allows you to create low latency analytics apps for fraud detection, live leaderboards, and the Internet of Things by consuming hundreds of megabytes of data per second.

Make the most of your business intelligence

Using BI tools like Microsoft PowerBI, Tableau, Amazon QuickSight, and Amazon Redshift, create insightful reports and dashboards.

Quicken SQL machine learning

To support advanced analytics on vast amounts of data, SQL can be used to create, train, and implement machine learning models for a variety of use cases, such as regression, classification, and predictive analytics.

Make money out of your data

Create apps using all of your data from databases, data lakes, and data warehouses. To increase consumer value, monetize your data as a service, and open up new revenue sources, share and work together in a seamless and safe manner.

Easily merge your data with data sets from outside parties

Subscribe to and merge third-party data in AWS Data Exchange with your data in Amazon Redshift, whether it’s market data, social media analytics, weather data, or more, without having to deal with licensing, onboarding, or transferring the data to the warehouse.

Amazon Redshift concepts

Amazon Redshift Serverless helps you examine data without provisioning a data warehouse. Automatic resource provisioning and intelligent data warehouse capacity scaling ensure quick performance for even the most demanding and unpredictable applications. The data warehouse is free when idle, so you only pay for what you use. The Amazon Redshift query editor v2 or your favorite BI tool lets you load data and query immediately. Take advantage of the greatest pricing performance and familiar SQL capabilities in a zero-administration environment.

If your company is eligible and your cluster is being formed in an AWS Region without Amazon Redshift Serverless, you may be eligible for the free trial. Choose Production or Free trial to answer. For what will you use this cluster? Free trial creates a dc2.large node configuration. AWS Regions with Amazon Redshift Serverless are included in the Amazon Web Services General Reference’s Redshift Serverless API endpoints.

Key Amazon Redshift Serverless ideas are below

Namespace: Database objects and users are in a namespace. Amazon Redshift Serverless namespaces contain schemas, tables, users, datashares, and snapshots.

Workgroup: A collection of computer resources. Amazon Redshift Serverless computes in workgroups. Redshift Processing Units, security groups, and use limits are examples. Configure workgroup network and security settings using the Amazon Redshift Serverless GUI, AWS Command Line Interface, or APIs.

Important Amazon Redshift supplied cluster concepts:

Cluster: A cluster is an essential part of an Amazon Redshift data warehouse’s infrastructure.

A cluster has compute nodes. Compiled code runs on compute nodes.

An additional leader node controls two or more computing nodes in a cluster. Business intelligence tools and query editors communicate with the leader node. Your client application only talks to the leader. External apps can see computing nodes.

Database: A cluster contains one or more databases.

One or more computing node databases store user data. SQL clients communicate with the leader node, which organizes compute node queries. Read about compute and leader nodes in data warehouse system design. User data is grouped into database schemas.

Amazon Redshift is compatible with other RDBMSs. It supports OLTP functions including inserting and removing data like a standard RDBMS. Amazon Redshift excels at batch analysis and reporting.

Amazon Redshift’s typical data processing pipeline and its components are described below.

A example Amazon Redshift data processing path is shown below.Image credit to AWS

An enterprise-class relational database query and management system is Amazon Redshift. Business intelligence (BI), reporting, data, and analytics solutions can connect to Amazon Redshift. Analytic queries retrieve, compare, and evaluate vast volumes of data in various stages to obtain a result.

Multiple data sources upload structured, semistructured, and unstructured data to the data storage layer at the data ingestion layer. This data staging section holds data in various consumption readiness phases. Storage may be an Amazon S3 bucket.

The optional data processing layer preprocesses, validates, and transforms source data using ETL or ELT pipelines. ETL procedures enhance these raw datasets. ETL engines include AWS Glue.

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Embedded Dashboards Are Possible With Amazon QuickSight

Embedded dashboards

Sharing views of Embedded dashboard is now supported by Amazon QuickSight. With the help of this functionality, you may provide your application with integrated QuickSight dashboards greater collaboration possibilities. You may also allow customization features for anonymous users, such bookmarks.

Embedding Quicksight Dashboard

Utilize dashboard or console embedding to establish a shareable link to your application page with QuickSight’s reference using the QuickSight Embedding SDK, or share a unique URL that shows just your modifications while you’re still in the application. Readers of QuickSight may then forward this shareable link to their colleagues. Their peer is sent to the application page with the integrated QuickSight dashboard when they click on the shared link.

QuickSight

The integrated dashboard sharing view is now supported by Amazon QuickSight. With the help of this functionality, developers may provide their application with integrated QuickSight dashboards greater collaboration possibilities. They may also activate customization features for anonymous users, including bookmarks.

This feature makes it simple for readers of Embedded dashboard to participate. While still in the application, they may exchange a special URL that only shows their modifications. The application developer may communicate this intent to QuickSight SDK so that an embedded dashboard reader can share their view with another application user. This will provide a shareable reference to the embedded dashboard’s current state. Developers may load that specific shared state into the QuickSight dashboard when another reader clicks on that shareable link.

Quicksight Embedded Dashboard

QuickSight developers may enable users of Embedded dashboard to receive and exchange links to their view of an embedded dashboard by using the Amazon QuickSight Embedding SDK (version 2.8.0 and above). Using the QuickSight Embedding SDK, developers may encapsulate QuickSight’s reference and create a shared link to their application page via dashboard or console embedding.

QuickSight dashboard

Readers of QuickSight may then forward this shareable link to their colleagues. Their peer is sent to the application page with the integrated QuickSight dashboard when they click on the shared link. When utilizing anonymous embedding, developers may additionally create and save shareable URLs to dashboard views that anonymous QuickSight users can use as bookmarks.

Amazon QuickSight, a cutting-edge cloud-powered business intelligence solution, now lets users share integrated dashboard views, improving user experience. This improvement streamlines data visualization and insights across teams and departments, empowering organizations. In this detailed post, They explain this feature, how it works, and its many benefits to companies.

Amazon QuickSight Embedded Dashboards

A cloud-based tool like Amazon QuickSight provides strong data analytics to help enterprises get actionable insights. Its ability to incorporate interactive dashboards into websites, apps, and portals is popular. These integrated dashboards provide real-time data interaction and better decision-making.

An embedded dashboard?

Interactive Embedded dashboard may be implemented into websites or business applications. By integrating these dashboards, enterprises can provide users and consumers real data and insights without leaving their platform. SaaS apps, client portals, and business solutions that require data accessibility benefit from this.

The Value of Dashboard Sharing

Users of Embedded dashboard could only access data in its embedded context before the newest version. While effective, the inability to share individual views or insights directly with other users was a problem, especially in collaborative situations. Amazon QuickSight’s new sharing features let users effortlessly share Embedded dashboard views with colleagues, customers, and stakeholders.

The Sharing Function of Amazon QuickSight

Amazon QuickSight’s new sharing function promotes simplicity. How it works:

Start by Customizing Your Dashboard: Users must first create or access an integrated dashboard to share. QuickSight lets users customize dashboards to match corporate requirements with many possibilities. Users may display essential data using charts, graphs, and tables.

Create Shareable Link: Users may create a shared link for a dashboard view after setting up the dashboard. Share this link to access the dashboard with all filters and settings retained. This feature aids insight sharing in meetings, presentations, and joint initiatives.

Manage Access and Permissions: Sharing data requires security and privacy. Control dashboard access using Amazon QuickSight’s sharing function. Set permissions to restrict shared view access to approved users. This protects sensitive data while enabling efficient cooperation.

Evaluate and Improve: Users may get comments and customize the dashboard after sharing. The dashboards are interactive and updated in real time, so data changes are quickly reflected in the shared view. This iterative method lets teams update their thoughts and tactics using the latest data.

Amazon QuickSight View Sharing Benefits

Sharing features in Amazon QuickSight’s integrated dashboards may alter data and collaboration in businesses.

Improved Team Collaboration

Amazon QuickSight improves teamwork by letting users share integrated dashboard displays. Sharing dashboards keeps everyone in sync, whether marketing is sharing campaign success metrics with sales or IT is sharing operational data with management. This improves coordination and strategy.

Better Decision-Making Real-time data is essential for educated decision-making. Decision-makers may immediately access essential information with the new sharing option, even if they did not develop the dashboard. Data democratization lets companies make faster, data-driven choices that boost profits.

Streamlined Stakeholder Communication

Sending integrated dashboard views to customers or investors is now simpler than ever. Instead of sending static reports or data files, enterprises may provide stakeholders real data. This saves time and gives stakeholders the latest information, making talks more transparent and effective.

Greater Data Access

Sharing features in Amazon QuickSight eliminate data silos between teams and departments. Making dashboards more available throughout the enterprise may reduce information barriers and promote data-driven culture. Access to data allows all workers to use it in their everyday job.

Safe Data Sharing

Amazon QuickSight protects data sharing despite increasing accessibility. Setting permissions for shared views lets users manage access. Although communication improves, sensitive data stays secure.

Shared Embedded Dashboard Use Cases

Sharing integrated dashboard displays expands industry and use case possibilities:

SaaS Apps: Embedded dashboard let SaaS customers access vital data without leaving the app. With the sharing option, SaaS companies may let users share insights with their colleagues, boosting service value.

E-commerce platforms: Sharing integrated dashboards that monitor sales, inventory, and consumer behavior benefits e-commerce enterprises. E-commerce enterprises may improve supply chain efficiency and consumer experience by sharing these dashboards with suppliers or partners.

Financial Services: Shared dashboards allow financial organizations to provide customers real-time access to portfolios, investment performance, and market trends. Transparency builds client connections and trust.

Internal Business Reporting:Sharing dashboards across divisions simplifies internal reporting. HR may integrate HR objectives with business goals by sharing employee performance or diversity dashboards with management.

Conclusion

Amazon QuickSight’s integrated dashboards’ sharing features improve data accessibility and collaboration. Amazon QuickSight helps companies make data-driven choices faster by letting users share dashboard views. For internal usage or sharing insights with external stakeholders, this functionality boosts Amazon QuickSight’s business intelligence value.

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#visualpathpro offers #amazonquicksight Training with real-time expert instructors and hands-on projects. Our Amazon #QuickSight Training Course, from industry experts and gain hands-on experience We provide to individuals globally in the USA, UK, etc. To schedule a demo, call +91-9989971070.

Key Points: AWS, Amazon S3, Amazon Redshift, Amazon RDS, Amazon Athena, AWS Glue, Amazon DynamoDB, AWS IoT Analytics, ETL Tools.

Whatsapp: https://www.whatsapp.com/catalog/919989971070

Visit our Blog: https://visualpathblogs.com/

Visit: https://www.visualpath.in/online-amazon-quicksight...

#AWSQuickSight#DataVisualization#AWSDataAnalytics#CloudAnalytics#DataDriven#BusinessIntelligence#MachineLearning#DataAnalytics#AWSCloud

#AIAnalytics#QuickSightDashboards#AmazonQuickSight#DataScience#CloudBI#BIonCloud#DataStorytelling#VisualizeData#AWSPartners

[amazonquicksighttraining]

Visualpath offers  for  Amazon QuickSight Training  with real-time expert instructors and hands-on projects. Our Amazon QuickSight Training Course, from industry experts and gain hands-on experience We provide to individuals globally in the USA, UK, etc. To schedule a demo, call +91-9989971070. 

Key Points: AWS, Amazon S3, Amazon Redshift, Amazon RDS, Amazon Athena, AWS Glue, Amazon DynamoDB, AWS IoT Analytics, ETL Tools.

Whatsapp:  https://www.whatsapp.com/catalog/919989971070

Visit our Blog: https://visualpathblogs.com/Visit: https://www.visualpath.in/online-amazon-quicksight-training.html