展开查看详情
1 .DataStax on Azure:
Deploying an industry-leading data platform
for cloud apps to bring actionable insights at
effortless scale
2 .Our
speakers Jason Short, PhD
Senior Partner Business
Evangelist
Microsoft
s
Mitch Henderson
Solutions Engineer
DataStax
s
4 .Trust
Open and Hybrid
App Innovation
Data-Driven Intelligence
5 . App Innovation
Lift and shift Improved Hyperscale Third-party
DevOps (e.g. IOT) frameworks
6 .Momentum
194 billion 340 billion
> 90%
of Fortune 500 use
750 million 188 billion Microsoft Cloud
7 .Cloud applications
are disrupting
business as usual
8 .Netflix disrupted video distribution
and creation with cloud technology
70 million 400 125 million
Customers Cities Hours watched per day
8
9 . Microsoft remains a leader in
collaboration with a cloud application
60 million #1 5 million
Monthly active users Deployed app Events per organization
in enterprise a month
9
10 .The most
innovative
companies
use
DataStax
2010 2012 2014 2016
11 .Cloud
Application
Characteristics
Contextual Always-on Real-time Distributed Scalable
12 .DataStax’s
evolution in
context Time sensitivity of data
Defining
moments
13 .Apps have
changed
Client/Server Web Cloud
1990s 2000s Today
14 .What powers
apps has
changed
Client/Server Web Cloud
1990s 2000s Today
15 .And what
should power
them Scale-out app layer
Scale-out data layer
16 . Data platform requirements
Always-on Effortless scale Instant insight
16
17 .The average
cost of today’s
downtime
$500K – $1M $1.25B – $2.5B
PER HOUR PER YEAR
Stephen Elliot | DevOps and the Cost of Downtime: Fortune 1000 Best Practice Metrics Quantified
18 .Always-on,
no matter
the failure
19 .Outbrain helps brands like
Display recommended ads
“During Hurricane Sandy, we
on sites like lost an entire data center.
Completely. Lost. It.
Our data never went offline.”
200 BILLION
Recommendations a Month
557 MILLION
People Reached a Month
20 .Effortless scale,
no matter the
requirements
21 .From DVDs to
Global Streaming
2007 “Our capability to seamlessly scale
First streaming
across data centers is a key element
2010
Expands outside US to Canada of Netflix’s global expansion
strategy.”
2012
Expands to Europe
2016
Available worldwide
22 .Instant insight for
real-time
experiences
Search Analytics Graph
23 . Multi-model including key An integrated platform
value, tabular, JSON, and so you can focus on your business.
graph
Mixed workloads
• Transactional
• Search
• Analytics
Developer tooling
Administration and
monitoring
“DSE allows us to focus on exceptional experience
Increasing time to value and value, while benefiting from DataStax’s
commitment to platform innovation.”
for customers
© 2017 DataStax, All Rights Reserved. DataStax is a registered trademark of DataStax,
Inc. and its subsidiaries in the United States and/or other countries. Apache Cassandra,
Apache, Spark, and Cassandra are trademarks of the Apache Software Foundation or its
subsidiaries in Canada, the United States and/or other countries.
24 .Powering cloud
applications
Always-on
Designed to handle and failure, no matter
how catastrophic.
Effortless scale
Take advantage of every opportunity.
Focus on what matters most to you.
Actionable insights
Built into your application to create
actionable, modern experiences.
25 .Only DataStax
enterprise
delivers
Always-on Effortless scale Instant insight
In a proven, comprehensive platform. Backed with
the expertise to help you succeed.
26 .A reliable data platform drives
the best business outcomes
26
27 . IHS Markit – creating a factory in the cloud with
DataStax Enterprise on Azure
ORGANIZATION OBJECTIVES
IHS Markit › Unify and automate electronic parts database into single
system – Parts Content Factory
HEADQUARTERS
London, UK › Improve and accelerate search experience
› Decrease time required for IHS knowledge workers to update
INDUSTRY the system with new information
Publishing
› Help organizations speed the pace of new product
introductions, avoid costly production interruptions and
PRODUCTS & SERVICES improve sustainability over extended service lives
Industry data, technical documents,
custom software applications, CHALLENGES
consulting › Deliver fast performance for catalog of 500M+ IT
components serving 50,000 customers and 80% of F500
www.ihs.com › Difficult searching quickly through complex attributes and
relationships
› Manage disparate and brittle legacy database system
28 . Catalog search Bill of materials matching
CUSTOMER
FACING SYSTEMS
DSE cluster Parts records Web app
Real-time
PARTS CONTENT
FACTORY Batch
Search
SOURCING Manufacturer website crawlers Datasheets
SYSTEM
29 . Target – needed multidata center support, limitless
scalability, and fast performance 3 months from
start to live in a critical production environment
ORGANIZATION
Target THE CHALLENGE
› Building a scalable inventory API for efficient internal team
HEADQUARTERS use, external mobile apps and website
Minneapolis, MN
WHY DATASTAX
INDUSTRY › Target acquired an always-on, distributed solution that could
Retail support their apps real-time requirements
www.target.com Oracle implementation took 12-22 months
Agility and 4x faster time to market of innovative
features
热门城市
