Learn how Altis can help you build a scalable, cost-effective and Serverless Data Analytics platform using our automated framework. Discover how easily you can kick-start your next data platform and reduce the time-to-value by providing faster business insights

1. Prepared by:
Date:
ALTIS CONSULTING
AUTOMATED DATA ANALYTICS PLATFORM ON AWS
AltisConsulting
10 June 2020
1

2. Neha Kaul
Managing Consultant
Guillaume Jaudouin
AWS Practice Lead
WITH YOU TODAY…
2

3. AGENDA
3
About Altis
Our Products/Services
Our Accomplishments
AWS Experience
State of Data and Analytics
Evolution in automation and DevOps for Data
Altis AWS Serverless Data Lake Framework

4. Australia and New Zealand’s largest
privately owned Data & Analytics
consultancy. For 20 years, we have been
combining industry expertise with technical
capability to deliver tangible business
outcomes while maintaining the Altis ethos
of Connecting with Courage, Heart and
Insight.
Established in 1998
Offices in Sydney, Brisbane, Melbourne,
Canberra, Auckland
and London
Vendor independent
ABOUT ALTIS
115+ 4

5. OUR PRODUCTS/SERVICES
5

6. Great Place To Work
10 years in a row
Our efforts have seen us recognised in BRW’s
Annual Best Places to Work 10 years in a row
since 2010.
Work180
Endorsed employer for women
We have also been endorsed as a Work180
Employer for Women. Empowering every
woman to choose a workplace where they can
thrive.
OUR ACCOMPLISHMENTS
6

7. AWS EXPERIENCE
Accreditations and Accolades
7Commercial-in-Confidence
 Altis is an Advanced AWS Consulting Partner
 Over 15 staff AWS Certified in the Solution Architecture, Big Data and DevOps
area at the professional level.
30+ have obtained relevant AWS accreditations
 Cloud Warrior recognition in 2018.
 APN Ambassador in 2019.
 Altis was officially recognized by AWS as experts in 4 key Big Data and Analytics
AWS services:
- Redshift - Fast, fully managed data warehouse
- EMR - Managed Hadoop framework
- Lambda - Serverless compute service
- Kinesis – Data Streaming

8. STATE OF DATA AND ANALYTICS
THEN AND NOW
8

9. STATE OF DATA AND ANALYTICS
5-10 years ago
Store Transform ConsumeIngest
One vendor
Manual Development
Structured Data / SQL
Transformation

10. STATE OF DATA AND ANALYTICS
Today
Store
Transform
Consume
Ingest
Business
Intelligenc
e
Data Viz
Data
Wrangling
Systems / API
Data Science
Data
Exploration
Decision
Automation
Relational
DB
Unstructured
Data
Social Media Data
IOT / Streaming
Data

11. EVOLUTION IN AUTOMATION
AND DEVOPS FOR DATA
11

12. AUTOMATION IN DATA ANALYTICS
12Commercial-in-Confidence
Results from a recent survey
of 23,000 data professionals
found that about they spend
40% of their time gathering
and cleaning data, 20% of
their time building and
selecting models and only
11% of their time finding
insights and communicating
them to stakeholders.

13. INFRASTRUCTURE AS CODE
13Commercial-in-Confidence
Benefits of automating the provisioning of infrastructure
Reliability and efficiency
Save cost and time
Automated scaling

14. ALTIS AWS SERVERLESS DATA
LAKE FRAMEWORK
14

15. WHY?
15Commercial-in-Confidence
• Cost effective
• Scalable compute and storage
• Event driven
• Fully managed ETL
• Faster and cost-efficient queries
• Simple interactive querying interface for users
• Above all, help you kick-start your next automated Data Analytics Platform!

16. KEY COMPONENTS
16Commercial-in-Confidence
Data Ingestion
Data Storage
Data Catalog (metadata service)
Data Transformation
Data Analysis & Querying

17. ARCHITECTURE AND DATA FLOW
17Commercial-in-Confidence

18. AUTOMATED WORKFLOW
18Commercial-in-Confidence
Development automation
Data Ingestion
Schema validation
Cataloguing Data
Glue ETL
DevOps automation
CloudFormation

19. ALTIS RECONCILIATION FRAMEWORK
19
Commercial-in-Confidence
Reconciling data back to source
Business logic validation
Data completeness
Data quality checks

20. OUR
PROPOSAL
WORKSHOP POC
MATURITY
ASSESSMENT /
ROADMAP
Free AWS data
architecture
Workshop to
discuss current
current and
future state of
your data
platform
Implement the
AWS Data Lake
framework and
start
automatically ing
gesting data in
days. Possible
prod deployment
afterwards.
Current state
review, future
state definition
and roadmap.
Covers:
architecture,
data
governance,
DataOps
adoption.
20
Reach out to Altis Consulting if you
want to continue the conversation
and discuss how our approach to
AWS Data platform can help you
achieve tangible outcomes.

21. QUESTIONS
21

22. 22
CONNECT WITH US
www.altis.com.au
connect@altis.com.au
guillaumej@altis.com.au
+61 9211 1522
+61 499 787 555
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