Beyond the Platform: Enabling Fluid Analysis

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

[email protected] @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

[email protected] @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


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

“


You don’t know what you don’t know.

Noam Chomsky


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.)

“


When you need it, and don't have it... you sing a different tune.

Bert Gummer, Tremors 2


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?


BI ACTIVITY

§  Users connected §  User activity

•  Queries and requests •  Tasks being processed •  Reports executing

§  Utilization •  Most active Reports •  Object utilization


Examples


THANKS! Any questions?

You can find me at: [email protected]

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?

Upcoming Topics

www.insideanalysis.com

January: ANALYTICS

February: BIG DATA

March: CLOUD

THANK YOU for your

ATTENTION!

Some images provided courtesy of Wikimedia Commons

Technology

Beyond the Platform: Enabling Fluid Analysis