challenges and difficulties that you may think when you are trying to use cloud services which maybe used in many fields with also customers success stories in consuming such services.
13. CHALLENGE
Needed to analyze data to find
insights, identify opportunities, and
evaluate business performance.
The Oracle DW did not scale, was
difficult to maintain, and costly.
SOLUTION
Deployed a data lake with S3, and run
analytics with Redshift, Redshift
Spectrum, and EMR.
Result: they doubled the data stored
(100PB), lowered costs, and was able to
gain insights faster.
50PB of data
600,000 analytics jobs/day
S3
DynamoDB
Relational Stores
Non Relational Stores
S3
Kinesis
Data Lake Web
Interface
Data Lake APIs
Workflows
service
Discovery
service
Data
Ingestion
Subscription
Service
Data security and governance
EMR
Redshift
Redshift Spectrum
Other Compute
Source systems Big data marketplace Analytics
100PB
Data Quality
/ Curation
20. “Healthdirect Australia operates in a heavily regulated industry, and it is
critical that our compliance data is correct and auditable. With Amazon
QLDB we look forward to having a complete and verifiable history of
every change in our system, making it simple to audit when and how we
arrived at our current state. Regulatory compliance is fact of life for
healthcare companies, and Amazon QLDB enables us to easily track the
controls we have in place and understand how they have changed over
time.”
—Bruce Haefele
General Manager, Technology, Healthdirect Australia