SlideShare a Scribd company logo
Grab some
coffee and
enjoy the
pre-show
banter
before the
top of the
hour! !
The Briefing Room
Past the Platform: Eliminating BI Bottlenecks
Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
@eric_kavanagh
u  Reveal the essential characteristics of enterprise
software, good and bad
u  Provide a forum for detailed analysis of today s innovative
technologies
u  Give vendors a chance to explain their product to savvy
analysts
u  Allow audience members to pose serious questions…and
get answers!
Mission
Topics
January: ANALYTICS
February: BIG DATA
March: CLOUD
Happy Workers = Busy Workers
u  Speed matters
u  Speed will always
matter
u  Bottlenecks
undermine analysis
u  Languishing issues
damage culture
u  Speed always
matters!
Analyst
Robin Bloor is
Chief Analyst at
The Bloor Group
robin.bloor@bloorgroup.com
@robinbloor
IDERA
u  IDERA offers a wide variety of database management
and development solutions
u  Its products focus on performance monitoring and
workload analysis
u  IDERA’s SQL BI Manager delivers comprehensive
monitoring and reporting over the BI environment
Guest
Stan Geiger is
Senior Product Manager
for BI at
IDERA
© 2016 IDERA, Inc. All rights reserved.
Proprietary and confidential.
PAST THE PLATFORM:
ENABLING FLUID ANALYSIS
Monitoring the Microsoft BI Stack
11© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential.
BUSINESS INTELLIGENCE ARCHITECTURE
12© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential.
MICROSOFT PLATFORM ARCHITECTURE
§  Source Data
•  Relational Databases (SQL Server, Oracle, etc.)
•  NoSQL (MongoDB, Cassandra, Hbase)
§  Data Storage and Aggregation
•  SQL Server Database
•  Azure Data Warehouse
•  Analysis Services (SSAS)
§  Presentation/Analytics
•  Excel
•  Reporting Services (SSRS)
•  PowerBI
“
13© 2015 IDERA, Inc. All rights reserved. Proprietary and confidential.
You don’t know what you don’t
know.
Noam Chomsky
14© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential.
PLATFORM MONITORING
§  Availability
•  Resource Availability (up/down)
•  Root Cause Identification
§  Performance
•  Server level performance metrics
•  Resource level performance
•  Identify bottlenecks
§  Utilization
•  User Sessions
•  Requests (queries, reports, etc.)
“
15© 2015 IDERA, Inc. All rights reserved. Proprietary and confidential.
When you need it, and don't have
it... you sing a different tune.
Bert Gummer, Tremors 2
16© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential.
AVAILABILITY AND PERFORMANCE
§  Is the platform available?
•  Is the platform accepting requests?
§  Is the platform performing under acceptable parameters?
•  Performance Bottlenecks
•  Resource Bottlenecks
•  Application Contention
§  ETL Status and Performance
•  Did the ETL process complete?
−  Where did it fail?
−  Why did it fail?
•  Did the ETL process perform under acceptable parameters?
17© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential.
BI ACTIVITY
§  Users connected
§  User activity
•  Queries and requests
•  Tasks being processed
•  Reports executing
§  Utilization
•  Most active Reports
•  Object utilization
18© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential.
Examples
19© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential.
THANKS!
Any questions?
You can find me at:
stan.geiger@idera.com
Perceptions & Questions
Analyst:
Robin Bloor
BI Bottlenecks
Robin Bloor, PhD
The Role of BI
BI is the feedback loop for corporate
systems
The Driving Force: Insight = Analytics
And Optimization?
The Begetting of BI
Desire for knowledge begets user requests
User requests beget analytics projects
Analytics projects beget data lakes
Data lakes + analytics beget insights
Insights beget BI
A Full BI Platform (Simplified)
Corporate Reality
Disruptive Dynamics
u  Data volumes
u  Data sources
u  Streaming & speed of arrival
u  Unstructured data
u  Social (unclean) data
u  Data provenance
u  Compute power (parallelism)
u  Machine learning
u  New analytic workloads
Bi is not a static situation.
Potential Bottlenecks
u Availability (of all components)
u Data flow integration/automation
u Resource bottlenecks (The Iron)
u Ingest issues
u Database performance (CPU/Memory/
Disk)
u Contention for data
The issues in summary:
About BI Monitoring…
Unless the BI SERVICE is dependable
and timely it isn’t a SERVICE
u  Does your software tend to influence how BI is
deployed (or is it already too late in most cases as
you enter after it is already set up)?
u  How long does it usually take to bring a BI
implementation under control?
u  What are the typical bottlenecks you encounter?
What are the most common mistakes people
make?
u  Do you cater for streaming BI/analytics? If so how
big is the demand for this?
u  How many of your customers (roughly) are
building predictive analytics apps?
u  Do you tend to be deployed in very large BI
implementations? What are the largest
configurations you encounter, both in terms of
data and in terms of variety of BI applications?
u  Which companies/technologies do you compete
with directly?
Beyond the Platform: Enabling Fluid Analysis
Upcoming Topics
www.insideanalysis.com
January: ANALYTICS
February: BIG DATA
March: CLOUD
THANK YOU
for your
ATTENTION!
Some images provided courtesy of Wikimedia Commons
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Beyond the Platform: Enabling Fluid Analysis

  • 1. Grab some coffee and enjoy the pre-show banter before the top of the hour! !
  • 2. The Briefing Room Past the Platform: Eliminating BI Bottlenecks
  • 4. u  Reveal the essential characteristics of enterprise software, good and bad u  Provide a forum for detailed analysis of today s innovative technologies u  Give vendors a chance to explain their product to savvy analysts u  Allow audience members to pose serious questions…and get answers! Mission
  • 6. Happy Workers = Busy Workers u  Speed matters u  Speed will always matter u  Bottlenecks undermine analysis u  Languishing issues damage culture u  Speed always matters!
  • 7. Analyst Robin Bloor is Chief Analyst at The Bloor Group [email protected] @robinbloor
  • 8. IDERA u  IDERA offers a wide variety of database management and development solutions u  Its products focus on performance monitoring and workload analysis u  IDERA’s SQL BI Manager delivers comprehensive monitoring and reporting over the BI environment
  • 9. Guest Stan Geiger is Senior Product Manager for BI at IDERA
  • 10. © 2016 IDERA, Inc. All rights reserved. Proprietary and confidential. PAST THE PLATFORM: ENABLING FLUID ANALYSIS Monitoring the Microsoft BI Stack
  • 11. 11© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential. BUSINESS INTELLIGENCE ARCHITECTURE
  • 12. 12© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential. MICROSOFT PLATFORM ARCHITECTURE §  Source Data •  Relational Databases (SQL Server, Oracle, etc.) •  NoSQL (MongoDB, Cassandra, Hbase) §  Data Storage and Aggregation •  SQL Server Database •  Azure Data Warehouse •  Analysis Services (SSAS) §  Presentation/Analytics •  Excel •  Reporting Services (SSRS) •  PowerBI
  • 13. “ 13© 2015 IDERA, Inc. All rights reserved. Proprietary and confidential. You don’t know what you don’t know. Noam Chomsky
  • 14. 14© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential. PLATFORM MONITORING §  Availability •  Resource Availability (up/down) •  Root Cause Identification §  Performance •  Server level performance metrics •  Resource level performance •  Identify bottlenecks §  Utilization •  User Sessions •  Requests (queries, reports, etc.)
  • 15. “ 15© 2015 IDERA, Inc. All rights reserved. Proprietary and confidential. When you need it, and don't have it... you sing a different tune. Bert Gummer, Tremors 2
  • 16. 16© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential. AVAILABILITY AND PERFORMANCE §  Is the platform available? •  Is the platform accepting requests? §  Is the platform performing under acceptable parameters? •  Performance Bottlenecks •  Resource Bottlenecks •  Application Contention §  ETL Status and Performance •  Did the ETL process complete? −  Where did it fail? −  Why did it fail? •  Did the ETL process perform under acceptable parameters?
  • 17. 17© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential. BI ACTIVITY §  Users connected §  User activity •  Queries and requests •  Tasks being processed •  Reports executing §  Utilization •  Most active Reports •  Object utilization
  • 18. 18© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential. Examples
  • 19. 19© 2016 IDERA, Inc. All rights reserved. Proprietary and confidential. THANKS! Any questions? You can find me at: [email protected]
  • 22. The Role of BI BI is the feedback loop for corporate systems
  • 23. The Driving Force: Insight = Analytics And Optimization?
  • 24. The Begetting of BI Desire for knowledge begets user requests User requests beget analytics projects Analytics projects beget data lakes Data lakes + analytics beget insights Insights beget BI
  • 25. A Full BI Platform (Simplified)
  • 27. Disruptive Dynamics u  Data volumes u  Data sources u  Streaming & speed of arrival u  Unstructured data u  Social (unclean) data u  Data provenance u  Compute power (parallelism) u  Machine learning u  New analytic workloads Bi is not a static situation.
  • 28. Potential Bottlenecks u Availability (of all components) u Data flow integration/automation u Resource bottlenecks (The Iron) u Ingest issues u Database performance (CPU/Memory/ Disk) u Contention for data The issues in summary:
  • 29. About BI Monitoring… Unless the BI SERVICE is dependable and timely it isn’t a SERVICE
  • 30. u  Does your software tend to influence how BI is deployed (or is it already too late in most cases as you enter after it is already set up)? u  How long does it usually take to bring a BI implementation under control? u  What are the typical bottlenecks you encounter? What are the most common mistakes people make? u  Do you cater for streaming BI/analytics? If so how big is the demand for this?
  • 31. u  How many of your customers (roughly) are building predictive analytics apps? u  Do you tend to be deployed in very large BI implementations? What are the largest configurations you encounter, both in terms of data and in terms of variety of BI applications? u  Which companies/technologies do you compete with directly?
  • 34. THANK YOU for your ATTENTION! Some images provided courtesy of Wikimedia Commons