a revolutionary approach to modernizing the data warehouse

Grab some coffee and

enjoy the

pre-show

banter

before the top of the

hour!

H T Technologies of 2015

HOST: Eric Kavanagh

THIS YEAR is…

ANALYST:

Rick Sherman Managing Partner, Athena IT Solutions

ANALYST:

Dr. Robin Bloor Chief Analyst, The Bloor Group

GUEST:

Bob Muglia CEO, Snowflake Computing TH

E LINE UP

INTRODUCING

Rick Sherman

Copyright © 2015 Athena IT Solutions

Rick Sherman Athena IT Solu4ons

A Revolu4onary Approach to Modernizing the Data Warehouse

Hot Technologies

Rick Sherman Athena IT Solu4ons rsherman@athena-‐solu4ons.com

Copyright © 2015 Athena IT Solutions All rights reserved.

Modernizing the Data Warehouse Traditional DW - Data Architecture - Hub & Spoke


Modernizing the Data Warehouse Traditional DW – Technology Architecture – 3 Enabling Layers


Modernizing the Data Warehouse Traditional DW – Moving Out of Its Comfort Zone

Data - Differences in origin, management & use of data


Modernizing the Data Warehouse Traditional DW - Evolution

Databases - Differences in data structures, schemas & technologies


Modernizing the Data Warehouse Traditional DW - Evolution

Integration - Differences in types of integration, data & technologies


Modernizing the Data Warehouse Traditional DW – Current State of Affairs


Modernizing the Data Warehouse Changing the Architectural Approach

Classic DW-Oriented Architecture Analytical Data Architecture (ADA)


Modernizing the Data Warehouse Creating an Analytics-Oriented Data Architecture


Modernizing the Data Warehouse Analytical Data Architecture (ADA)


Modernizing the Data Warehouse


Creating a Data Architecture BI & Analytics My Background

•  Experience ü  25 years of DW & BI experience ü  30 years relational database experience ü  Consulting, IT and Software Engineering

•  Consulting ü  Business & IT Groups ü  Software Vendors

•  Instructor ü  Northeastern University, Graduate School of Engineering ü  DW & BI Conferences; DW & BI Courses

•  Writer, Columnist, Blogger ü  Book & 200+ Published Articles ü  White papers, Webinars, Podcasts & Seminars ü  DataDoghouse.com Blog on BI/DW industry

•  Thought Leadership: ü  TDWI – Boston User Group Officer ü  Boulder BI Brain Trust

INTRODUCING

Dr. Robin Bloor

Quo Vadis?

Robin Bloor, PhD

The State of Play

Nobody is questioning the need for a Data Warehouse

(a BI & Analytics engine)

§  Inexpensive (?) §  Any data §  May have metadata §  Poor performance §  Weak scheduling §  Weak data mgmt §  Security? §  Data lake

§  Expensive §  Prepared data §  Will have metadata §  Optimized §  Optimized §  Good data mgmt §  Secure §  Data workhorse

Hadoop v Data Warehouse

Hadoop DBMS/EDW

The Reasonable Conclusion

Hadoop is not a data warehouse…

At least NOT YET

§  Cloud deployments

§  CPU/GPU merging

§  Commodity servers and storage

§  On-chip processing

§  Memory-based architectures

§  Virtual networks

§  Parallel S/W

§  Data volumes!!

§  Hadoop + Schema on read

§  Unstructured data

§  Event data

§  Data availability and the market for data

§  Analytics workloads

§  Analytics tools

Dimensions of Disruption

In These Circumstances..

New database technologies and ideas have stepped forward

The Questions?

What are the characteristics of an appropriate data warehouse?

Should it live in the cloud?

INTRODUCING

Bob Muglia

The Archive Trifecta: •  Inside Analysis www.insideanalysis.com •  SlideShare www.slideshare.net/InsideAnalysis •  YouTube www.youtube.com/user/BloorGroup

THANK YOU!