Tableau and AWS Accelerating Digital Transformation - Tableau Bootcamp

Posted by Lily James on February 11th, 2020

Cloud technology and data analytics are two vital elements that can help organizations to embark on their digital transformation journey. But the digital transformation cannot be achieved over a single night. The reality is that almost every business's data comes in faster than the traditional IT team can curate. This, therefore, increases the volume of migrations to the cloud to take benefits of its agility, flexibility and easier access to the data. However, businesses should be able to analyze all types of data, from unstructured to organized data at every step on this journey.

To facilitate your business with the best data solution, take part in a Tableau training to explore the techniques of Modern Cloud Analytics to accelerate your journey to Digital Transformation.

Tableau + AWS - Powerful Cloud Analytics

Tableau is constantly evolving into stronger and more powerful joint solutions with its cloud partners, like Amazon Web Services (AWS), to help customers during their modernization process. Recently this year, Tableau introduced a Tableau Server Management Add-on. Customers who have AWS can choose to externally host their Tableau Server metadata repository with Amazon Relational Database Service (RDS) for better scalability and they can integrate key management practices to release advanced security and compliance situations with Amazon Key Management Services (KMS).

At the recent Tableau Conference, they also declared an extended collaboration of Tableau with AWS and introduced the Modern Cloud Analytics initiative (MCA). This program will help customers to open up the power and flexibility of self-service analytics in the cloud and speed up their evolution towards a modern analytics platform. An inclusive technology structure in the cloud can sustain self-service analytics, data integration and use cases that businesses need to transform digitally to attain analytics at scale.

Benefits of Cloud Migration for Data Analytics

As per TDWI research, companies are confining terabytes of data from multiple numbers of sources in a self-service approach to producing actionable insights. Though, this doesn’t denote that they are modernizing their data warehouse and analytics architecture. Even a single-layer analytics solution in modern technology can help you conquer some of the consequences of using a conventional analytics solution or on-premises data warehouse that includes stagnant data, data silos, unnecessary work efforts, and restricted visibility into business wellbeing. Tableau can be an effective analytics solution that has connections to different data sources in spite of the data type or structure and wherever you’re at in your cloud migration.

You can modernize your analytics environment in many ways, but TDWI’s Checklist Report presents a useful reference with a few keys to success in the modern data warehouse and analytics stack. Therefore, according to TDWI, there are some vital components and functionalities that you should have in your cloud-friendly data architecture to ensure using data at a scale. Here are some of them:

• A Cloud Data Warehouse
• A Cloud-based and Self-Service Analytics
• Data Governance
• Strong Alliance
• Cost-efficiency

Now, you can exploit the power of Tableau with AWS and other joint cloud partners to take full advantage of investments in data analytics and support your complete analytics journey.

There is much more to learn about Modern Cloud Analytics. Enroll yourself in ExistBI's unique Tableau Bootcamp to explore the complete details of various integration of Tableau with other software and implement it in your business to take full control of your data. ExistBI offers training in the United States, the United Kingdom, and Europe.