9. Analytic challenges with traditional data warehouses
Overloaded
Cannot ad-hoc query
all fact data
Cannot retain enough
historical data
Cannot ingest
in real-time
Cannot support interactive
applications
Rising support costs
Escalating use expenses
15. The Yellowbrick Data Warehouse
PURPOSE-BUILT ALL-FLASH
SQL DATA WAREHOUSE
From tens of terabytes to 2.4 petabytes
MPP architecture
Start small
Grow compute
and storage
DEPLOY IN THE DATA CENTER OR CLOUD
16. Critical capabilities for a modern data warehouse
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
17. Yellowbrick Data Warehouse 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 ad hoc
complex BI queries
in just a few seconds
Load and Transform
Use existing ETL tools including intensive
push-down ELT
Business Critical Reporting
Workload management
for prioritized responses
PostgreSQL
compatible
19. The Yellowbrick Impact with 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
20. “build a 182 billion row table
in under two minutes
CONFIDENTIAL20
21. The positive cycle of analytics
CONFIDENTIAL21
Deploy more
analysts
Discover
Optimizations
Improve
revenue,
reduce costs
and risk
More analytic
investment
25. Simpler modeling and true self-service analytics
Consolidate for simple models
Provide robust ANSI SQL for true self-service
26. “We wanted to reduce the
number of platforms, and
provide faster response
times to user queries
27. “Instead of replicating it
into twenty different
tables, flattened out five
different ways, to answer
the same question, in
Yellowbrick you could just
run one simple join
or
JOIN
28. “We completed extensive
testing of major MPP data
warehouse platforms and
found Yellowbrick to have
the highest performing,
most scalable and cost-
effective platform for our
300TB environment
31. Demo Overview – MicroStrategy and Yellowbrick
Local browser to
MicroStrategy Web
with “native data access”
• TPC-H database
• 3 billion line items
• Chapter 1: Identifying “chronic returners”
• Who returns more than 20% of average
• Chapter 2: Revenue for Europe by Year
• Queries run in just a few seconds
• While loading 3.5 billion rows over 5
minutes
Benefits of MicroStrategy and Yellowbrick
Mixed data loads, point queries, and
Interactive workloads together!
CONFIDENTIAL31
MicroStrategy
Web
Yellowbrick
Bulk Loader
JMeter
Native Data Access
https://www.microstrategy.com/getmedia/2f4207da-ac24-4cf1-8175-1fb3f7f3b57a/Building-Performant-Dossiers-World-2019-v3
Building Performant Dossiers: Tips and Best Practices
Alejandro Olvera