Tableau to SQL Server Connection on AWS

Are you looking to connect Tableau to an AWS (Amazon Web Services) RDS (Amazon Relational Database Service) instance?

This video shows you how to connect to a PostgreSQL AWS RDS instance from the Tableau Desktop. Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups.

Beyond the AWS Tutorials

If you’re stuck and need help in all things Amazon Web Services you’ve come to the right place. WCI has been in the business of getting data to decision makers since 1998 so we really know our stuff. Check out our AWS Consulting page for more information.

Also, if you have any suggestions for a tutorial video give us a shout on the contact us page to share your thoughts, we’re always looking for new ideas!

Power BI to RDS MySQL Connection on AWS

Are you looking to connect Microsoft Power BI to an AWS (Amazon Web Services) RDS (Amazon Relational Database Service) instance?

This video shows you how to connect to a MySql AWS RDS instance from the Power BI Desktop. Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups.

Beyond the AWS Tutorials

If you’re stuck and need help in all things Amazon Web Services you’ve come to the right place. WCI has been in the business of getting data to decision makers since 1998 so we really know our stuff. Check out our AWS Consulting page or Power BI Consulting page for more information.

Also, if you have any suggestions for a tutorial video give us a shout on the contact us page to share your thoughts, we’re always looking for new ideas!

Amazon Web Services (AWS)

Watch this space for more of WCI’s AWS tutorials.

Beyond the AWS Tutorials

If you’re stuck and need help in all things Amazon Web Services or Microsoft Power BI, you’ve come to the right place. WCI has been in the business of getting data to decision makers since 1998 so we really know our stuff. Check out our AWS Consulting or Power BI Consulting pages for more information.

Also, if you have any suggestions for a tutorial video give us a shout on the contact us page to share your thoughts, we’re always looking for new ideas!

Power BI to AWS Aurora Connection

Are you looking to connect Microsoft Power BI to an AWS Aurora (Amazon Web Services Relational Database Service) instance?

This video shows you how to connect to a Aurora AWS RDS instance from the Power BI Desktop. Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.

Beyond the AWS Tutorials

If you’re stuck and need help in all things Amazon Web Services you’ve come to the right place. WCI has been in the business of getting data to decision makers since 1998 so we really know our stuff. Check out our AWS Consulting page for more information.

Also, if you have any suggestions for a tutorial video give us a shout on the contact us page to share your thoughts, we’re always looking for new ideas!

Gain Insight from Big Data on Amazon Web Services

Amazon Web Services provides a broad platform of secure, cost-effective, high-performance cloud services that help you collect, store, process, and analyze Big Data workloads. With AWS, you have access to tools that can help you use your data to improve your customer experience, drive new business insights, and increase operational efficiency. AWS Big Data solutions support distributed processing frameworks, predictive analytics and machine learning, real-time analytics, and petabyte-scale data warehouses. And, unlike on-premises approaches, there’s no need to procure, deploy, and manage hardware. Organizations who are looking to get more out of their data practice can rely on AWS and WCI as their trusted Big Data advisors.

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Why Choose AWS for Big Data?

AWS policies, processes, and controls are:

  • Designed with a security-in-layers approach
  • Capable of complying with more than 20 regulations
  • Continuously audited
  • No hardware procurement/deployment
  • Easily transfer your data
  • Training and tutorials available
  • Over 50 services to pick from
  • Compatible with 6 relational DB engines and NoSQL
  • Support any workload, regardless of scale

Big Data on AWS


Turn your organization’s data into valuable information with Amazon Web Services. You can transform archived, current, or future application data into an asset to help your business. AWS provides Big Data tools that let your teams be more productive, so it’s easier to try new things, and roll out projects sooner.

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Amazon Web Services Videos

WCI Consulting has become known for our experienced and professional consultants. That’s why we decided to spread the knowledge and hold bi-monthly webinars that cover a variety of topics important to our clients. Our webinars are educational Business Objects tutorial videos and are viewed by people all over the world.

From how-to’s on creating dashboards in Business Objects to tips & tricks on building universes, we’re constantly adding topics to our list. Check back often to see what’s new!

Business Objects 4.1 Upgrade Demos

Desk Intelligence (DeskI)
Central Management Console (CMC)
Launchpad

Business Intelligence and Analytics

APOS Instance Manager – Multiple Report Changes
Creating and Viewing SAP BusinessObjects Contexts in IDT (Information Design Tool)
Navigation of the Instance Manager in CMC – SAP BusinessObjects
Can you Update a Database with Webi? 

Data Management

Configuring SSL for Tomcat – A 5 Step Guide
Creating a Job in SAP Data Services

Enable Rapid Innovation with DevOps


Organizations using a DevOps model deliver applications quicker and innovate faster. AWS offers elastic, on-demand infrastructure resources and tooling designed to support continuous integration and delivery, infrastructure as code, microservices, and monitoring & logging. With AWS, there’s no hardware to setup, manage, or operate, allowing you to focus on addressing customer needs. This flexible model allows your organization to scale as your needs grow and only pay for what you use.

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Why Choose AWS for DevOps?


Each AWS service is ready to use if you have an AWS account. There is no setup required or software to install.


Provision one or thousands of server instances and scale capacity up or down within minutes automatically. Easily configure these resources at scale to meet changing workload demands.


You have the option to use AWS via the AWS Command Line Interface or through APIs and SDKs. You can also model and provision AWS resources and your entire AWS infrastructure using declarative AWS CloudFormation templates.

AWS helps you use automation so you can build faster and more efficiently. Using AWS services, you can automate manual tasks or processes such as deployments, development & test workflows, container management, and configuration management.


Use AWS Identity and Access Management (IAM) to set user permissions and policies. This gives you granular control over who can access your resources and how they access those resources.


AWS supports a large ecosystem of partners that integrates and extends AWS services. Use your preferred third-party and open source tools with AWS to build an end-to-end solution.

DevOps on AWS


DevOps is the combination of cultural philosophies, practices,and tools that increases an organization’s ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. This speed enables organizations to better serve their customers and compete more effectively in the market.

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