agile methods and data warehousing (2016 update)
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KENT GRAZIANO @KentGraziano | kentgraziano.com
AGILE METHODS AND DATA WAREHOUSING:
HOW TO DELIVER FASTER
Agenda
My Bio Why Agile & DW Agile Manifesto 12 Agile Principles Agile Concepts Two week iterations? Becoming Agile Agile DevOps Agile Data Modeling Conclusion
© Data Warrior LLC
My Bio
› Senior Technical Evangelist, Snowflake Computing› Blogger: The Data Warrior› Certified Data Vault Master and DV 2.0 Practitioner› Oracle ACE Director (BI/DW)› Data Modeling, Data Architecture and Data Warehouse
Specialist› 30+ years in IT› 25+ years of Oracle-related work› 20+ years of data warehousing experience
› Former-Member: Boulder BI Brain Trust (http://www.boulderbibraintrust.org/)
› Author & Co-Author of a bunch of books› Past-President of Oracle Development Tools User
Group and Rocky Mountain Oracle User Group
Why Agile & DW?
Perceptions● DW too slow to produce results● DW projects “fail”● DW projects fail to adapt to business changes
Goal● Change perceptions● Deliver value● Be more adaptable and flexible
© Data Warrior LLC
Objectives
Understand what is meant by “agile” Try to apply some agile ideas to data warehouse and business
intelligence efforts Answer the question – can we deliver results faster?
Manifesto for Agile Software Development
http://agilemanifesto.org
We are uncovering better ways of developing software by doing it and helping others do it. Through this work we have come to value:
Individuals and interactions over processes and tools
Working software over comprehensive documentation
Customer collaboration over contract negotiation Responding to change over following a planThat is, while there is value in the items on the right, we value the items on the left more
Kent BeckMike Beedle
Arie van BennekumAlistair CockburnWard Cunningham
Martin Fowler
James GrenningJim HighsmithAndrew HuntRon Jeffries
Jon KernBrian Marick
Robert C. MartinSteve Mellor
Ken SchwaberJeff SutherlandDave Thomas
© 2001, the above authorsthis declaration may be freely copied in any form,
but only in its entirety through this notice.
THE PRINCIPLES OF AGILE
Principle #1
Our highest priority is to satisfy the customer through early and continuous delivery of valuable software. ● Who is the customer?● What is “valuable software” in data warehousing?
● BI reports● Dashboard interface● Working ETL code?● In the context of the customer!
● Once we start – keep going!
© Data Warrior LLC
Principle #2
Welcome changing requirements, even late in development. Agile processes harness change for the customer's competitive advantage. ● Must be flexible and adaptable in thinking and
design● User Stories● Use code generators● Agile data engineering techniques● Flexible and performant data platform
© Data Warrior LLC
Principle #3
Deliver working software frequently, from a couple of weeks to a couple of months, with a preference to the shorter timescale. ● Need good scope control!
● Prioritized Backlog● One subject area at a time
● What is a subject area?● Think Data Vault
© Data Warrior LLC
Principle #4
Business people and developers must work together daily throughout the project. ● DW MUST have the business involved
● One of the Top 10 reasons for failure● This applies for BI reports
● Daily interaction would be great!● But – politics and priorities may interfere!● At HP GBI/EDW – we used “war” room● At MSH – daily standups with Biz
© Data Warrior LLC
Principle #5
Build projects around motivated individuals. Give them the environment and support they need, and trust them to get the job done. ● Need people who WANT to be on the project
● Lose the dead weight
● Get training if needed● Keep units of work small to create an
atmosphere of success● Don’t try a Big Bang EDW
© Data Warrior LLC
Principle #6
The most efficient and effective method of conveying information to and within a development team is face-to-face conversation. ● Daily team huddles● Co-located work space● While face-to-face is efficient, still need some
documentation (or meta-data) for later● Use a tool like JIRA, VersionOne, Rally, LeanKit
© Data Warrior LLC
Principle #7
Working software is the primary measure of progress. ●Applied to DW:
● What is “working software?”● BI reports?● Tables definitions and working ETL
code?●Think more broadly – it is not just a data
entry screen
© Data Warrior LLC
Principle #8
Agile processes promote sustainable development. The sponsors, developers, and users should be able to maintain a constant pace indefinitely. ● DW Programs last a long time – don’t burn the team
out with unreasonable deadlines● See P#5 – Motivated individuals● Good planning and scope control
● No all nighters!● Smallest valuable unit of work possible (MVP)
● Keep it moving like a production line● Pick (or develop) a standard, repeatable methodology
● Study the Agile methods and adopt what works for your team
● Data Vault Modeling Methodology
© Data Warrior LLC
Principle #9
Continuous attention to technical excellence and good design enhances agility. ● Bad design + bad architecture = trouble
● Symptom: can’t build a requested data mart● Frequent design reviews a must
● Improves team skills – provides cross training● Over time – better designs, shorter review cycles
● Faster delivery
© Data Warrior LLC
Principle #10
Simplicity--the art of maximizing the amount of work not done--is essential.● KISS – Keep it Simple Stupid● Write less code by hand
● Use code generators! (No syntax errors – ever)● Oracle SDDM, ERWin, Vertabelo● Oracle Data Integrator, SSIS● AnalytxDS, WhereScape RED
● Modifications are easier – just regenerate the code● Virtualize initial reporting layers● Agile DevOps!
© Data Warrior LLC
Principle #11
The best architectures, requirements, and designs emerge from self-organizing teams. ● Team of smart, motivated people = success
● We succeed (or fail) as a TEAM● Don’t micro manage or pigeon-hole staff
● Encourage team work and team thinking● Staff will gravitate to roles based on skills, interest,
and personality● Then they have more buy-in to the process
● Eliminates delays and bottlenecks by having shared responsibilities (no single point of failure)
© Data Warrior LLC
Principle #12
At regular intervals, the team reflects on how to become more effective, then tunes and adjusts its behavior accordingly. ● The Decision Model
● Debate Mode● Check Points
● Related to self-organizing teams● Make finding the solution to a problem the team’s problem
● More buy-in to the solution● Retrospectives are a MUST!
© Data Warrior LLC
Decision Model in Action
Plan
Debate Decision
CheckPoint
Questions ? ? ? ?
Answers
Mini-Debate(Cause a Slight Change in Direction)
Iterate
Courtesy of Dr. Ed Freeman, CIO/CTO, Denver Public Schools© Data Warrior LLC
USING AGILE CONCEPTS
Agile Concepts for DW
Team Huddles (Morning Scrum)Extreme ProgrammingPair Programming
© Data Warrior LLC
Team Huddles
Daily Standup Meeting● AKA Scum● Morning Roll Call (FDD)
Short meeting (< 15 minutes)● Every morning, mandatory attendance● Review assignments, accomplishments, backlogs,
blockers● 3 Questions
Immediate feedback and assistance● Keeps team motivated and on track (P #5)● Identifies constraints and bottlenecks early in the process● Eliminates backlogs more quickly via re-assignments
Improves team work Supports self-organizing teams (P #11)
© Data Warrior LLC
Extreme Programming (XP)
Programmer works directly with the end user● At MSH used conference room or devloper’s cube● At HP used Virtual Classroom or NetMeeting● At DFA used WebEx
In DW:● Best with developing BI reports● DW or data mart must already be populated
© Data Warrior LLC
Extreme Programming (XP)
Reports developed using BI tool● With the user in the room (or virtual)● With constant user reviews and input using a web
reporting tool (via email even!) Also applies to developing a dashboard or portal
interface Works for ETL as well!
● Used war room with business to get near instant validation of ETL changes
© Data Warrior LLC
Pair/Mob Programming
Part of XP Programmers work side-by-side
● One terminal● One codes, the other reviews
● Two terminals, one cube● One programming, one documenting
● Could also be done virtually! In DW:
● Writing ETL Code● Pair data modeling● Report Development
© Data Warrior LLC
Two week iterations?
Goal is really a few weeks to a few months (see P#3)
What is the deliverable?● A fact table for a star schema● A dimension table● A complete star (fact and all dimensions)● One piece of ETL code that populates a fact
table● A function needed by the ETL code● A new report or query
Who is the customer?● BI programmer?● Knowledge worker?● ETL programmer?
© Data Warrior LLC
REAL WORLD METRICS
HP EDW Examples Business found missing report elements Solution: modify 3 tables to add 5 new columns in
reporting model (star schema) Tasks:
● Document requirements and ETL specs● Modify Logical & Physical model (w/peer review)● Rebuild tables in development● Develop and test ETL● MTI (Move To Integration) tables and code● Execute and test ETL● Modify report in UAT environment & test
Result: Revised report ready in 18 hours, 44 minutes● Less than 1 business day
2nd case: 6 tables, 16 new columns● Ready for UAT in 72 hours
How? War room with Biz & IT Team
© Data Warrior LLC
BECOMING AGILE
Getting to Agile/RAD
“better than average expertise”● Expert consulting and mentoring● Do the work (OTJ)
At Denver Public Schools● Took two years before we could try being
more “agile”● Needed experience in Data Warehousing,
Oracle Designer, OWB, and the “process” of building, deploying, and maintaining an Oracle DW
© Data Warrior LLC
Getting to Agile/RAD
At HP GBI/EDW it took about a year● Needed the right team and the right
management support● Also the right project with willing business
usersAt McKesson over a year setting
standards and training staff ● Built templates in JIRA for repeatable tasks● Then 3 week sprints
At DFA – Day 1!● Experienced team with agile BI/DW coach● Used modified KanBan
© Data Warrior LLC
Getting to Agile
Cannot instantly become “agile”Must develop and agile mindset & culture Implement agile tools, processes, and methodsGet an Agile Coach if necessary
● Specfically an agile BI/DW or Data Coach
© Data Warrior LLC
AGILE DEVOPS
“the art of maximizing the amount of work not done”
Remember Principle #10! Need a dev setup that let’s you be agile
● Painless & fast setup and configuration● Easy to add more space and compute on demand● Minimal resource contention● Automated query optimization● Easy cloning of data sets
Automated Regression Testing!● DBFit, iCEDQ, AnalytixDS, WhereScape● Roll your own – basic SQL scripts
© Data Warrior LLC
AGILE DATA MODELING
Data Vault – How I did it
Data modeling technique for enterprise data warehouse design● See Data Vault white papers at kentgraziano.com● Data Vault related books on Amazon (author Linstedt)
Allows modeling EDW in small chunks● Develop model, build tables, build ETL, populate,
repeat (often)● Key: prioritize the data requirements
● Think User Stories and Backlog ala SCRUM
© Data Warrior LLC
Data Vault Components
Copyright 2011 Dan Linstedt, used by permission
Data Vault Model Flexibility (Agility)
Goes beyond standard 3NF• Highly normalized
● Hubs and Links only hold keys and meta data● Satellites split by rate of change and/or source
• Enables Agile data modeling● Easy to add to model without having to change existing structures
and load routines• Relationships (links) can be dropped and created on-demand.
● No more reloading history because of a missed requirementBased on natural business keys
• Not system surrogate keys• Allows for integrating data across functions and source
systems more easily● All data relationships are key driven.
© Data Warrior LLC
Data Vault Extensibility
Adding new components to the EDW has NEAR ZERO impact to:• Existing Loading
Processes• Existing Data Model• Existing Reporting & BI
Functions• Existing Source Systems• Existing Star Schemas
and Data Marts
(C) LearnDataVault.com
Sprint 1
Sprint 2
Sprint 3
How to be Agile using DV
● Model iteratively● Use Data Vault data modeling technique● Create basic components, then add over time
● Virtualize the Access Layer● Don’t waste time building facts and dimensions
up front (Principle #10)● ETL and testing takes too long● “Project” objects using pattern-based DV model
with database views (or BI meta layer)● Users see real reports with real data
● Can always build out for performance in another iteration
© Data Warrior LLC
SHAMELESS PLUG: My Intro Book
Available onAmazon.com
http://www.amazon.com/Better-Data-Modeling-Introduction-Engineering-ebook/dp/B018BREV1C/
New DV 2.0 Book
› Available on Amazon:http://www.amazon.com/Building-Scalable-Data-Warehouse-Vault/dp/0128025107/
Register at wwdvc.com
Other References
Agile Management for Software Engineering: Applying the Theory of Constraints for Business Results by David J. Anderson
CASE Method Fast-track: A RAD Approach by Richard Barker & Dai Clegg
The Goal by Eliyahu M. Goldratt The Business of Data Vault Modeling by Dan Linstedt,
Kent Graziano, & Hans Hultgren Super Charge Your Data Warehouse by Dan Linstedt Test Automation by Lynn Winterboer http://
www.slideshare.net/AgileDenver/lynn-winterboer-test-automation
© Data Warrior LLC
Conclusion
Agile concepts can be applied to data warehouse and BI projects● Not a purist definition!● Try to apply the principles – be creative
Suggested approaches● Data Vault 2.0!● Use Snowflake Elastic DW!● Use team huddles● Use pair programming to increase quality and cross
training● Use code generators ● Read about Agile Methods ● Read Oracle CASE Method Fast-Track
Be flexible and give it a try© Data Warrior LLC
QUESTIONS?DISCUSSION?
CONTACTINFORMATION
KENT GRAZIANOSnowflake ComputingSnowflake.net
kent.graziano@snowflake.net
@KentGraziano
http://kentgraziano.com
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