Slides: Migrate BI Dashboards to Run Directly on a Cloud Data Lake in Five Easy Steps

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While BI dashboards are great at democratizing analytics in organizations, the architecture that traditionally powers them has hidden consequences that have serious impacts on the business. This architecture is based on a 30-year-old paradigm that requires many different systems, ETL jobs, and copies of data in data marts, data warehouses, and BI extracts. One downside of many is that it takes many days if not weeks to answer a different business question with this architecture. The negative consequences are further multiplied by the tens, hundreds, or even thousands of dashboards needed to run a data-driven organization. Now, there’s a straightforward way to overcome these challenges that many organizations are already taking advantage of, an open cloud data lake architecture and Dremio Join Jason Hughes, Technical Director at Dremio, for this webinar to learn how you can migrate BI dashboards to Dremio to quickly provide interactive dashboards to data consumers without the issues of the traditional architecture — and finally deliver the benefits always promised by BI. What you’ll learn: • Why BI dashboards’ traditional architecture implemented at scale causes many issues, which hinder the very insights it promises. • How a Dremio-powered cloud data lake architecture eliminates or mitigates the negative consequences of the traditional approach. • Step-by-step instructions for migrating a BI dashboard to run directly on a cloud data lake, both a self-contained example and your own dashboards.

Data & Analytics

Confidential - Do Not Share or Distribute
Migrate BI Dashboards
to Run Directly on a
Cloud Data Lake in Five
Easy Steps
J as on Hughes
April 27, 20 21
1

What
we’ll go
through
2
● The traditional approach to BI dashboards
● The downsides to this approach
● A better way: Dremio on a Cloud Data Lake
● Live demo of a dashboard migration
● The benefits of this approach

Confidential - Do Not Share or Distribute
Background
● Self-service capabilities enable organizations to be more data-driven
● BI dashboards: democratizing data usage for both non-technical and technical users
● The way they’re actually implemented across organizations today lead to problems which have
serious impacts on the business.
● The traditional architecture for implementing BI dashboards:
3

Confidential - Do Not Share or Distribute
1. Slow turnaround time for changes
2. Data size limitation
3. Dashboard response time slows as data size
and complexity grows
4. Data drift and regulatory compliance issues
5. Operational cost
6. Infrastructure cost
7. The BI extract is exclusive to that BI tool
Downs ides to this approach
4
Multiplied by the 10s, 100s, even 1000s of
dashboards in an organization

Confidential - Do Not Share or Distribute
There’s a better way: Dremio on a Cloud Data Lake
5

Confidential - Do Not Share or Distribute
1. Link Dremio to the dataset
2. Add Dremio as a source for the dashboard
3. Replace the dashboard’s extract data source
with live queries on Dremio
4. (bonus) Change to more granular view of the
data in the dashboard
5. Optimize dashboard performance
Migration Live Demo
6

Confidential - Do Not Share or Distribute
1. Fast turnaround time for changes
2. No data size limitations
3. Dashboard response time remains interactive as
data size and complexity grows
4. Minimal data drift and regulatory compliance issues
5. Large reduction of operational cost
6. Large reduction of infrastructure cost
7. Centralized optimization regardless of the client tool
used currently and in the future
Benefits to this approach
7
Multiplied by the 10s, 100s, even 1000s of
dashboards in an organization

Confidential - Do Not Share or Distribute
Recap
8

Test Drive
Dremio
9
A guided tour walks you through how to:
● Connect Dremio to a cloud data lake
● Query the data in a cloud data lake
● Create virtual datasets
● Implement a semantic layer
Try for free today! dremio.com/test-drive

Confidential - Do Not Share or Distribute
The End
11

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