Post on 21-May-2020
The scale and pace of change 2007 $100,000
2013 $700
2007 $40,000
2014 $100
2007 $550,000
2014 $20,000
2000 $2.7bn
2007 $10m
2014 $1,000
1984 $30
2014 $0.16
2009 $30,000
2014 $80
2007 $499
2015 $10
DNA
Solar
Smartphones
Drones
3D Printing
Industrial
Robots
Sensor (3D)
An astonishing pace of change is accelerating transformation.Technology is more affordable and accessible than ever before.
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2
3
3
4
4
5
6
6
8
20
0 2 4 6 8 10 12 14 16 18 20 22
Xiaomi
Snapchat
Airbnb
CloudFlare
Uber
Average Unicorns
Tesla
Cloudera
Typical Fortune 500
years
Time to reach $1B valuation or moreSource: World Economic Forum
DATA163 zettabytes annually by 2025
ANALYTICS$200 billion global market by 2020
CLOUDCloud shift will affect more than
$1 trillion in IT spending by 2020
Driving forces behind
digital transformation
Source: Forbes, Gartner
There are barriers to getting value from data
Complexity of
solutionsPerformance
constraints
Rising costsIncongruent
data types
Data silos
Derive real value from your data
One hub for
all data
Support for diverse
types of dataUnlimited
data scale
Familiar tools
and ecosystem
Lower
TCO
On-premises, hybrid, Azure
Ingest Store Prep & Train Model & Serve
Modern Data Warehouse
Azure Blob Storage
Logs (unstructured)
Azure Data Factory
Azure Databricks
Microsoft Azure also supports other Big Data services like Azure HDInsight and Azure Data Lake to allow customers to tailor the above architecture to meet their unique needs.
Media (unstructured)
Files (unstructured)
PolyBase
Business/custom apps
(structured)
Azure SQL Data
Warehouse
Azure Analysis
Services
Power BI
Advanced Analytics on Big Data
Ingest Store Prep & Train Model & Serve
Cosmos DB
Azure Blob StorageAzure Data Factory
PolyBase
SparkR
Apps
Azure SQL Data
Warehouse
Azure Analysis
Services
Power BI
Logs (unstructured)
Media (unstructured)
Files (unstructured)
Business/custom apps
(structured)
Azure Databricks
Microsoft Azure also supports other Big Data services like Azure HDInsight and Azure Data Lake to allow customers to tailor the above architecture to meet their unique needs.
Ingest Store Prep & Train Model & Serve
Real Time Analytics
Sensors and IoT
(unstructured)
Apache Kafka for
HDInsight
Cosmos DB
Files (unstructured)
Media (unstructured)
Logs (unstructured)
Azure Blob StorageAzure Data Factory
Azure Databricks
Real-time apps
Business/custom apps
(structured)
Azure SQL Data
Warehouse
Azure Analysis
ServicesPower BI
Microsoft Azure also supports other Big Data services like Azure IoT Hub, Azure Event Hubs, Azure Machine Learning, and Azure Data Lake to allow customers to tailor the above
architecture to meet their unique needs.
PolyBase
See ItMove It Store It Scale It Serve It
Demo 2 - ELT
Amazon S3 Azure Data Factory Azure Blob Storage Azure Databricks Azure SQL DB Power BI