How to Build Your Data Ecosystem with Tableau on AWS
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- Wilfrid Stephens
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1 How to Build Your Data Ecosystem with Tableau on AWS
2 Moving Your BI to the Cloud Your BI is working, and it s probably working well. But, continuing to empower your colleagues with data is going to be ever more challenging in a world of rapidly increasing data volumes, security risks, and data diversity. Cloud platforms like AWS can help remove some of that complexity, allowing you to leverage their infrastructure as you scale and grow. Running Tableau Server on AWS ensures the continued, scalable success of your business intelligence for years to come.
3 How to Build Your Data Ecosystem with Tableau on AWS Key considerations for organizational deployments: Security without sacrificing accessibility Speed when you need it Effortless scalability up and out Trusted data the business can rely on Flexibility of hybrid
4 1 Security without sacrificing accessibility Traditional BI promises security, and it delivers by making it nearly impossible to access data. Local servers are secure, but can be challenging to configure for failover. Traditional BI Promise Reality AWS+Tableau Once your data is in AWS, you re ready for High Availability and Failover with a click. Tableau can make your data more secure with Informatica and Kerberos, while simplifying access to trusted data that the whole team needs with Tableau Server. Learn more: Security Data can be difficult to permission. Hard to configure for failover. Configure permissions securely in minutes leveraging existing systems. Cloud solutions automatically failover. Tableau Data Server High Availability and Failover Support for AWS DB Informatica for Tableau
5 2 Speed when you need it Speed is a reference point for every existing BI implementation. Under optimal conditions it might actually be delivered. Traditional BI Promise Reality AWS+Tableau Tableau Server on AWS offers flexibility that can supply fantastic speed by allowing you to match your capacity to your load on demand. By using S3 for storage, EMR for compute and Tableau for analytics, you can separate every process and analyze big data on the fly. Learn more: Speed Rapid changes in load are difficult to respond to. Combined storage and compute can slow down analysis. Separate storage and compute. Pay for what you need. Use Hadoop, relational databases, warehouses as needed and preferred. Using Amazon EMR and S3 for Ad Hoc Access to Massive Data Netflix and Presto Tableau s Amazon Aurora Connector
6 3 Effortless scalability up and out For global organizations, deploying a scalable, performant and easy to use BI implementation can be a challenge. Traditional BI Promise Reality AWS+Tableau With AWS and Tableau Server, your data can be replicated (or accessed) in multiple regional data centers. If you need more capacity, click to add it. The cloud can often be more affordable than existing solutions. Learn more: Cross-Region Replication in AWS Scale Regional teams hard to support with local data centers. Servers are expensive Utilize AWS regional datacenters to support different regional compliance requirements for your data. Scale up or out on the fly. Leverage AWS scale for afforability. Cloud economics
7 4 Trusted data the business can rely on With large and complex datasources, it only makes sense that organizations would define common calculations, names and measures to standardize. The problem is, traditional BI defines those standards in code and inflexible ETL processes. Tableau can enable you to define your single version of the truth visually, and instantly share that connection with anyone through Tabelau Data Server. Leverage aliasing, joins, unions, calculations, grouping, sets, and a performant direct connection to any Amazon database to give your team data they can rely on. Traditional BI Promise Reality AWS+Tableau Single version of the truth To properly ingest and combine data, ETL processes must be manually configured by IT. They are highly inflexible to change. Use Tableau Data Server for easy access to aliasing, joins, unions, calculations, grouping, sets and other key tools. Amazon makes data ingest and transformation easy. Learn more: Journey to a Single Version of the Truth AWS Data Pipeline
8 5 Flexibility of hybrid What if you have an investment in on-prem? That s great. Tableau makes it easy to use your on-prem data and local server too. Traditional BI Promise Reality AWS+Tableau If it makes sense for you to move your data to the cloud, Tableau supports you and your data wherever it is, however it is hosted. A hybrid approach will be the practical way forward for many organizations. Move a little, a lot, or all the way to the cloud. Learn more: Everything needs to be either in the cloud or on-prem. Most organizations have some data in the cloud and some on-prem. Others are experimenting with a move to the cloud. No one is going to move to the cloud in a day. If you invested in on-prem, you can continue to leverage that investment while experimenting with the cloud and finding the right solution for your business. Analytics Powered by the Cloud
9 Get started in the cloud today It doesn t take much to get started in the cloud. In just a few minutes, you can have a trial of Tableau Server running on AWS.
10 Appendix: Cloud Data and BI Architecture Raw Data Collect/Store Store/Analyze Data warehouse Analysis Flat Files Application Data EMR Redshift Tableau Desktop Server Logs Internet APIs S3 Spark RDS Machine Learning Hive Server or Online AML
11 Appendix: Cloud Data and BI Architecture Raw Data Collect/Store Store/Analyze Data warehouse Analysis Flat Files Application Data EMR Redshift Tableau Desktop Server Logs Internet APIs S3 Spark RDS Machine Learning Hive Server or Online AML Collect data from multiple sources and store in its native format
12 Appendix: Cloud Data and BI Architecture Raw Data Collect/Store Store/Analyze Data warehouse Analysis Flat Files Application Data EMR Redshift Tableau Desktop Server Logs Internet APIs S3 Spark RDS Machine Learning Hive Server or Online AML Separate storage and consumption. Eliminate capacity constraints. Pay for what you use.
13 Appendix: Cloud Data and BI Architecture Raw Data Collect/Store Store/Analyze Data warehouse Analysis Flat Files Application Data EMR Redshift Tableau Desktop Server Logs Internet APIs S3 Spark RDS Machine Learning Hive Server or Online AML Separate storage and consumption. Eliminate capacity constraints. Pay for what you use.
14 Appendix: Cloud Data and BI Architecture Raw Data Collect/Store Store/Analyze Data warehouse Analysis Flat Files Application Data EMR Redshift Tableau Desktop Server Logs Internet APIs S3 Spark RDS Machine Learning Hive Server or Online AML Connect and analyze in minutes. Share insight with anyone securely.
15 Appendix: Connecting Amazon and Tableau Redshift Aurora EMR RDS (MySql) EMR Redshift Aurora RDS Direct Connection or Extract (In-Memory) Connection from published datasource or workbook Workbook, connection or extract Tableau Desktop Server + Online
16 Appendix: Hosting Tableau Server on AWS 1. Tableau Server on EC2 2. Marketplace BYOL 3. Marketplace Server Workbook, connection or extract Tableau Desktop
17 More Resources 1. How Tableau and Amazon Work Together 2. Connectivity to Amazon Databases I. Amazon Redshift connector II. Tuning your Redshift connection for performance III. Explore Big Data Analytics with Amazon Redshift 3. Tableau Server on AWS I. Deployment Guidelines and Best Practices II. Running Tableau Server on Amazon AWS
18 About Tableau Transform raw data into actionable insights with Tableau. Create interactive visualizations and dashboards that advance standard reporting, and reveal hidden insights with exploratory analysis. Then securely share your insights on-premises or in the cloud with colleagues, partners, suppliers, customers, and more. Whether you re a single entrepreneur or an IT-powered enterprise, Tableau scales to meet your needs. From small businesses to the world s largest companies, governments, and universities, organizations everywhere see and understand their data with Tableau. TABLEAU.COM/TRIAL
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