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and
The Ultimate Data Warehouse
Gary Orenstein
Mike Spitz
Yellowbrick Data
MicroStrategy and Yellowbrick Data
2
The Yellowbrick Impact for MicroStrategy
Faster dashboards and ad hoc queries
Execute queries with instant refreshes
Thousands of concurrent users
Deploy more MicroStrategy users while retaining a fixed data warehouse
footprint
Real-time ingest
Capture IoT or OLTP data at 100,000s of rows per second
Petabyte scale
Scale up to petabytes in one compact integrated system
Query live data
Native data access without aggregations, rollups, or cubes
3
The Yellowbrick Data Warehouse
4
MPP SCALE-OUT ARCHITECTURE
Grow compute
and storage
Start small
MODULAR PURPOSE-BUILT APPLIANCE
ALL FLASH DATA WAREHOUSE
Capacity from tens of terabytes
to petabytes
Overloaded Cannot ad-hoc query
raw fact data
Cannot retain enough
historical data
Cannot ingest in real-
time
Cannot support
interactive applications
Rising support costs
Escalating usage
expenses
Challenges with traditional data warehouses
5
Always on
and available
Ad-hoc SQL
queries
Correct
answers on
any schema
Terabytes to
petabytes of
data
Mixed real-
time inserts,
ETL, batch,
interactive
workloads
Thousands
of
concurrent
users
Yellowbrick originated to fit enterprise needs
Yellowbrick Data Warehouse product attributes
Real-time Feeds
Ingest IoT or OLTP data
Capture 100,000s
of rows per second
Interactive Applications
Serve short queries in
under 100 milliseconds
Periodic Bulk Loads
Capture terabytes
of data, petabytes
over time
Powerful Analytics
Respond to
complex BI queries
in just a few seconds
Load and Transform
Use existing ETL tools including intensive
intensive push-down ELT
Business Critical Reporting
Workload management
for prioritized responses
PostgreSQL
7
Ideal use cases
Data warehousing touches all industries
USE CASES
FINANCE
HEALTHCARE
INSURANCE
MEDIA
HOSPITALITY
PUBLIC
SECTOR
RETAIL
ENERGYAND
UTILITIES
TELECOM
TRANSPORTATION
BUSINESS INTELLIGENCE AND ANALYTICS
ANALYTICAL APPLICATIONS
OPERATIONAL REPORTING
STRUCTURED DATA FOR MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE
INDUSTRIES
9
www.NetezzaCountdown.com
Success stories
“ In our Yellowbrick
testing, we compared
the performance of
a six-rack twin fin to
the six U baseline
Yellowbrick system.
And performance was
anywhere from 3 to
50 to 100 times faster.”
RICK MAHUSEN
VP R&D BUSINESS ANALYTICS
yellowbrick.com/teoco
yellowbrick.com/clarity
JED ELLIOTT
SENIOR SOFTWARE ENGINEER
“ Instead of having to
worry about replicating
data into twenty different
tables, flattened out five
different ways, to answer
the same question, in
Yellowbrick you could just
run one simple join.”
Customer videos at yellowbrick.com
14
15
Live Demonstration
THANKYOU!
THANK YOU
yellowbrick.com
SEEING IS BELIEVING
16

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The Yellowbrick Impact for MicroStrategy

  • 1. and The Ultimate Data Warehouse Gary Orenstein Mike Spitz Yellowbrick Data
  • 3. The Yellowbrick Impact for MicroStrategy Faster dashboards and ad hoc queries Execute queries with instant refreshes Thousands of concurrent users Deploy more MicroStrategy users while retaining a fixed data warehouse footprint Real-time ingest Capture IoT or OLTP data at 100,000s of rows per second Petabyte scale Scale up to petabytes in one compact integrated system Query live data Native data access without aggregations, rollups, or cubes 3
  • 4. The Yellowbrick Data Warehouse 4 MPP SCALE-OUT ARCHITECTURE Grow compute and storage Start small MODULAR PURPOSE-BUILT APPLIANCE ALL FLASH DATA WAREHOUSE Capacity from tens of terabytes to petabytes
  • 5. Overloaded Cannot ad-hoc query raw fact data Cannot retain enough historical data Cannot ingest in real- time Cannot support interactive applications Rising support costs Escalating usage expenses Challenges with traditional data warehouses 5
  • 6. Always on and available Ad-hoc SQL queries Correct answers on any schema Terabytes to petabytes of data Mixed real- time inserts, ETL, batch, interactive workloads Thousands of concurrent users Yellowbrick originated to fit enterprise needs
  • 7. Yellowbrick Data Warehouse product attributes Real-time Feeds Ingest IoT or OLTP data Capture 100,000s of rows per second Interactive Applications Serve short queries in under 100 milliseconds Periodic Bulk Loads Capture terabytes of data, petabytes over time Powerful Analytics Respond to complex BI queries in just a few seconds Load and Transform Use existing ETL tools including intensive intensive push-down ELT Business Critical Reporting Workload management for prioritized responses PostgreSQL 7
  • 9. Data warehousing touches all industries USE CASES FINANCE HEALTHCARE INSURANCE MEDIA HOSPITALITY PUBLIC SECTOR RETAIL ENERGYAND UTILITIES TELECOM TRANSPORTATION BUSINESS INTELLIGENCE AND ANALYTICS ANALYTICAL APPLICATIONS OPERATIONAL REPORTING STRUCTURED DATA FOR MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE INDUSTRIES 9
  • 12. “ In our Yellowbrick testing, we compared the performance of a six-rack twin fin to the six U baseline Yellowbrick system. And performance was anywhere from 3 to 50 to 100 times faster.” RICK MAHUSEN VP R&D BUSINESS ANALYTICS yellowbrick.com/teoco
  • 13. yellowbrick.com/clarity JED ELLIOTT SENIOR SOFTWARE ENGINEER “ Instead of having to worry about replicating data into twenty different tables, flattened out five different ways, to answer the same question, in Yellowbrick you could just run one simple join.”
  • 14. Customer videos at yellowbrick.com 14