Big Data LDN 2018: MICROLISE: USING BIG DATA AND AI IN TRANSPORT AND LOGISTICSMatt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 11:10 - 11:40
Organisation: Microlise
About: Microlise are a leading provider of technology solutions to the transport and logistics industry worldwide. Discover how, with over 400,000 connected assets generating billions of messages a day, Microlise is evolving its platform to bring real-time analytics to its customers to improve safety, security and efficiency outcomes.
Build Best Practices and the Right Foundation for your First Production Workl...Amazon Web Services
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to take your first steps on the AWS Cloud, explain how to make smarter decisions for architecting your application, and demonstrate the best way to scale your infrastructure.
Speakers:
Ralf Capel, Account Manager, Amazon Web Services
Nathan Besh, Enterprise Support Manager, Amazon Web Services
The Cloud Imperative – What, Why, When and HowInside Analysis
TechWise Episode III, Featuring Dr. Robin Bloor and Gilbert Cutsem
Live Webcast on September 24, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=61c9c40def9ecba2b0dabf03b6075f3a
Regardless of where you stand in the enterprise, Cloud Computing has arrived. From the analytics that drive dynamic change, to the operational systems that keep the business humming; from the predictive models that improve results, to the database systems that underpin the most advanced infrastructure in history -- the Cloud now challenges the status quo in every corner of the enterprise.
Register for this episode of TechWise to hear veteran Analysts Dr. Robin Bloor of The Bloor Group, and Gilbert Cutsem, as they explain how today’s cutting edge Cloud solutions can deliver enterprise caliber software like never before. They’ll discuss best practices for moving to the Cloud, and offer insights for enabling intelligent hybrid architectures that can connect data, systems and business processes.
Visit InsideAnlaysis.com for more information.
estrat and Amazon Web Services (AWS) breakfast in Perth with presenters from MINEMAN, Present Group, AWS and estrat. An informative session on cloud adoption as the new normal in IT strategy.
Big Data LDN 2018: MICROLISE: USING BIG DATA AND AI IN TRANSPORT AND LOGISTICSMatt Stubbs
Date: 14th November 2018
Location: Data-Driven Ldn Theatre
Time: 11:10 - 11:40
Organisation: Microlise
About: Microlise are a leading provider of technology solutions to the transport and logistics industry worldwide. Discover how, with over 400,000 connected assets generating billions of messages a day, Microlise is evolving its platform to bring real-time analytics to its customers to improve safety, security and efficiency outcomes.
Build Best Practices and the Right Foundation for your First Production Workl...Amazon Web Services
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to take your first steps on the AWS Cloud, explain how to make smarter decisions for architecting your application, and demonstrate the best way to scale your infrastructure.
Speakers:
Ralf Capel, Account Manager, Amazon Web Services
Nathan Besh, Enterprise Support Manager, Amazon Web Services
The Cloud Imperative – What, Why, When and HowInside Analysis
TechWise Episode III, Featuring Dr. Robin Bloor and Gilbert Cutsem
Live Webcast on September 24, 2014
Watch the archive:
https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=61c9c40def9ecba2b0dabf03b6075f3a
Regardless of where you stand in the enterprise, Cloud Computing has arrived. From the analytics that drive dynamic change, to the operational systems that keep the business humming; from the predictive models that improve results, to the database systems that underpin the most advanced infrastructure in history -- the Cloud now challenges the status quo in every corner of the enterprise.
Register for this episode of TechWise to hear veteran Analysts Dr. Robin Bloor of The Bloor Group, and Gilbert Cutsem, as they explain how today’s cutting edge Cloud solutions can deliver enterprise caliber software like never before. They’ll discuss best practices for moving to the Cloud, and offer insights for enabling intelligent hybrid architectures that can connect data, systems and business processes.
Visit InsideAnlaysis.com for more information.
estrat and Amazon Web Services (AWS) breakfast in Perth with presenters from MINEMAN, Present Group, AWS and estrat. An informative session on cloud adoption as the new normal in IT strategy.
Amazon Redshift in Action: Enterprise, Big Data, and SaaS Use Cases (DAT205) ...Amazon Web Services
Since Amazon Redshift launched last year, it has been adopted by a wide variety of companies for data warehousing. In this session, learn how customers NASDAQ, HauteLook, and Roundarch Isobar are taking advantage of Amazon Redshift for three unique use cases: enterprise, big data, and SaaS. Learn about their implementations and how they made data analysis faster, cheaper, and easier with Amazon Redshift.
5 Things that Make Hadoop a Game Changer
Webinar by Elliott Cordo, Caserta Concepts
There is much hype and mystery surrounding Hadoop's role in analytic architecture. In this webinar, Elliott presented, in detail, the services and concepts that makes Hadoop a truly unique solution - a game changer for the enterprise. He talked about the real benefits of a distributed file system, the multi workload processing capabilities enabled by YARN, and the 3 other important things you need to know about Hadoop.
To access the recorded webinar, visit the event site: https://www.brighttalk.com/webcast/9061/131029
For more information the services and solutions that Caserta Concepts offers, please visit http://casertaconcepts.com/
Conflict in the Cloud – Issues & Solutions for Big DataHalo BI
Halo BI CEO, Keith Peterson, presents at the 6th Annual Cloud Computing Conference - AITP San Diego: Conflict in the Cloud – Issues & Solutions for Big Data.
Cloud services make money based on the volume of data stored in the cloud – and big data delivers that volume. But companies seeking to use big data are looking for economies of scale from the Cloud.
Big Data brings big promise and also big challenges, the primary and most important one being the ability to deliver Value to business stakeholders who are not data scientists!
Learn more about the tools, techniques and technologies for working productively with data at any scale. This presentation introduces the family of data analytics tools on AWS which you can use to collect, compute and collaborate around data, from gigabytes to petabytes. We'll discuss Amazon Elastic MapReduce, Hadoop, structured and unstructured data, and the EC2 instance types which enable high performance analytics.
Jon Einkauf, Senior Product Manager, Elastic MapReduce, AWS
Alan Priestley, Marketing Manager, Intel and Bob Harris, CTO, Channel 4
Using real time big data analytics for competitive advantageAmazon Web Services
Many organisations find it challenging to successfully perform real-time data analytics using their own on premise IT infrastructure. Building a system that can adapt and scale rapidly to handle dramatic increases in transaction loads can potentially be quite a costly and time consuming exercise.
Most of the time, infrastructure is under-utilised and it’s near impossible for organisations to forecast the amount of computing power they will need in the future to serve their customers and suppliers.
To overcome these challenges, organisations can instead utilise the cloud to support their real-time data analytics activities. Scalable, agile and secure, cloud-based infrastructure enables organisations to quickly spin up infrastructure to support their data analytics projects exactly when it is needed. Importantly, they can ‘switch off’ infrastructure when it is not.
BluePi Consulting and Amazon Web Services (AWS) are giving you the opportunity to discover how organisations are using real time data analytics to gain new insights from their information to improve the customer experience and drive competitive advantage.
Mapping Life Science Informatics to the CloudChris Dagdigian
Infrastructure cloud platforms such as those offered by Amazon Web Services are not designed and built with scientific research as the primary use case. These presentation slides cover the current state of mapping life science research and HPC technique onto “the cloud” and how to work around the common engineering, orchestration and data movement problems.
[Note: I've replaced the 2011 version of this talk deck with a slightly updated version as delivered at the AIRI Petabyte Challenge Meeting]
(ISM213) Building and Deploying a Modern Big Data Architecture on AWSAmazon Web Services
"The AWS platform enables large enterprises to use data to solve business problems and uncover opportunities more easily and affordably than ever before. However, to truly take advantage of AWS, enterprises need a way to collect, store, process, analyze, and continually execute on their data.
Datapipe has been an AWS partner for more than five years. In that time, it has developed a proprietary process for the deployment of AWS environments, as well as the processing and evaluation of big data analytics to optimize these environments over time. This flexible solution includes automation tools, continuous monitoring, and cloud analytics. It protects against architectural sprawl and continually redesigns for scalability. This kind of continuous build environment allows Datapipe to examine the AWS environment as a complete picture and ensure the cloud environment is running as efficiently and effectively as possible, ultimately reducing overhead costs for the enterprise.
In this session, Jason Woodlee, Senior Director of Cloud Products at Datapipe, will discuss the technical details of designing and deploying a modern big data architecture on AWS, including application purpose and design, development environment and language overview, DevOps automation best practices, and continuous build and test frameworks. Session sponsored by Datapipe."
Are you confused by Big Data? Get in touch with this new "black gold" and familiarize yourself with undiscovered insights through our complimentary introductory lesson on Big Data and Hadoop!
Building Enterprise OLAP on Hadoop for FSILuke Han
Building Enterprise OLAP on Hadoop for Finance Services Industry, and following a use case of CPIC (fortune 500 insurance company) about how to replace legacy IBM Cognos OLAP with Kyligence platform
The Impact of SMACT on the Data Management StackSnapLogic
This presentation introduces the concept of the "Integrator's Dilemma" and reviews some of the challenges faced by traditional data and application integration technologies when it comes to keeping up with the new enterprise data, application and API connectivity and management requirements. We review the landscape and share examples of the steps more and more IT organizations are taking to improve business alignment through faster access to trusted data.
To learn more, visit http://www.snaplogic.com/ipaas
This Presentation gives an insight into what is big data, data analytics, difference between big data and data science.And also salary trends in big data analytics.
Amazon Redshift in Action: Enterprise, Big Data, and SaaS Use Cases (DAT205) ...Amazon Web Services
Since Amazon Redshift launched last year, it has been adopted by a wide variety of companies for data warehousing. In this session, learn how customers NASDAQ, HauteLook, and Roundarch Isobar are taking advantage of Amazon Redshift for three unique use cases: enterprise, big data, and SaaS. Learn about their implementations and how they made data analysis faster, cheaper, and easier with Amazon Redshift.
5 Things that Make Hadoop a Game Changer
Webinar by Elliott Cordo, Caserta Concepts
There is much hype and mystery surrounding Hadoop's role in analytic architecture. In this webinar, Elliott presented, in detail, the services and concepts that makes Hadoop a truly unique solution - a game changer for the enterprise. He talked about the real benefits of a distributed file system, the multi workload processing capabilities enabled by YARN, and the 3 other important things you need to know about Hadoop.
To access the recorded webinar, visit the event site: https://www.brighttalk.com/webcast/9061/131029
For more information the services and solutions that Caserta Concepts offers, please visit http://casertaconcepts.com/
Conflict in the Cloud – Issues & Solutions for Big DataHalo BI
Halo BI CEO, Keith Peterson, presents at the 6th Annual Cloud Computing Conference - AITP San Diego: Conflict in the Cloud – Issues & Solutions for Big Data.
Cloud services make money based on the volume of data stored in the cloud – and big data delivers that volume. But companies seeking to use big data are looking for economies of scale from the Cloud.
Big Data brings big promise and also big challenges, the primary and most important one being the ability to deliver Value to business stakeholders who are not data scientists!
Learn more about the tools, techniques and technologies for working productively with data at any scale. This presentation introduces the family of data analytics tools on AWS which you can use to collect, compute and collaborate around data, from gigabytes to petabytes. We'll discuss Amazon Elastic MapReduce, Hadoop, structured and unstructured data, and the EC2 instance types which enable high performance analytics.
Jon Einkauf, Senior Product Manager, Elastic MapReduce, AWS
Alan Priestley, Marketing Manager, Intel and Bob Harris, CTO, Channel 4
Using real time big data analytics for competitive advantageAmazon Web Services
Many organisations find it challenging to successfully perform real-time data analytics using their own on premise IT infrastructure. Building a system that can adapt and scale rapidly to handle dramatic increases in transaction loads can potentially be quite a costly and time consuming exercise.
Most of the time, infrastructure is under-utilised and it’s near impossible for organisations to forecast the amount of computing power they will need in the future to serve their customers and suppliers.
To overcome these challenges, organisations can instead utilise the cloud to support their real-time data analytics activities. Scalable, agile and secure, cloud-based infrastructure enables organisations to quickly spin up infrastructure to support their data analytics projects exactly when it is needed. Importantly, they can ‘switch off’ infrastructure when it is not.
BluePi Consulting and Amazon Web Services (AWS) are giving you the opportunity to discover how organisations are using real time data analytics to gain new insights from their information to improve the customer experience and drive competitive advantage.
Mapping Life Science Informatics to the CloudChris Dagdigian
Infrastructure cloud platforms such as those offered by Amazon Web Services are not designed and built with scientific research as the primary use case. These presentation slides cover the current state of mapping life science research and HPC technique onto “the cloud” and how to work around the common engineering, orchestration and data movement problems.
[Note: I've replaced the 2011 version of this talk deck with a slightly updated version as delivered at the AIRI Petabyte Challenge Meeting]
(ISM213) Building and Deploying a Modern Big Data Architecture on AWSAmazon Web Services
"The AWS platform enables large enterprises to use data to solve business problems and uncover opportunities more easily and affordably than ever before. However, to truly take advantage of AWS, enterprises need a way to collect, store, process, analyze, and continually execute on their data.
Datapipe has been an AWS partner for more than five years. In that time, it has developed a proprietary process for the deployment of AWS environments, as well as the processing and evaluation of big data analytics to optimize these environments over time. This flexible solution includes automation tools, continuous monitoring, and cloud analytics. It protects against architectural sprawl and continually redesigns for scalability. This kind of continuous build environment allows Datapipe to examine the AWS environment as a complete picture and ensure the cloud environment is running as efficiently and effectively as possible, ultimately reducing overhead costs for the enterprise.
In this session, Jason Woodlee, Senior Director of Cloud Products at Datapipe, will discuss the technical details of designing and deploying a modern big data architecture on AWS, including application purpose and design, development environment and language overview, DevOps automation best practices, and continuous build and test frameworks. Session sponsored by Datapipe."
Are you confused by Big Data? Get in touch with this new "black gold" and familiarize yourself with undiscovered insights through our complimentary introductory lesson on Big Data and Hadoop!
Building Enterprise OLAP on Hadoop for FSILuke Han
Building Enterprise OLAP on Hadoop for Finance Services Industry, and following a use case of CPIC (fortune 500 insurance company) about how to replace legacy IBM Cognos OLAP with Kyligence platform
The Impact of SMACT on the Data Management StackSnapLogic
This presentation introduces the concept of the "Integrator's Dilemma" and reviews some of the challenges faced by traditional data and application integration technologies when it comes to keeping up with the new enterprise data, application and API connectivity and management requirements. We review the landscape and share examples of the steps more and more IT organizations are taking to improve business alignment through faster access to trusted data.
To learn more, visit http://www.snaplogic.com/ipaas
This Presentation gives an insight into what is big data, data analytics, difference between big data and data science.And also salary trends in big data analytics.
Keynote - Cloudera - Mike Olson - Hadoop World 2010
bd
1. A
Big
Data
Business
James
Yu
(虞沐)
@Huami
US
(华⽶米美国)
2. Who
am
I?
• 14
years
in
so?ware
industry
– 10
years
backend
engineer
– 4
years
Big
Data
and
Cloud
CompuIng
• 6
years
in
China
(HP/SAP),
and
8
years
in
Silicon
Valley
(eBay/Samsung/Baidu/LinkedIn)
• Now
@Huami
US,
as
architect
and
manager
of
cloud
and
big
data
team
3. Agenda
• What
is
a
Big
Data
business
• How
to
• China
VS.
US
• A
story
of
healthcare/wearable
• How
we
do
it
4. What
is
a
Big
Data
business
• Free
services
(or
even
give
away
money)
• Lots
of
users
• Knowing
what
each
individual
wants
• Making
money
by
connecIng
people
and
business
(Google,
Facebook,
TwiZer,
Yelp,
LinkedIn,
Uber,
Airbnb,
BAT,
嘀嘀出⾏行,
美团,
饿了么)
5. How-‐to
• Business
model
(great
services
that
people
like)
• Talents
and
technologies
(right
people,
right
technology)
• Good
luck
(more
than
50%
big
data
projects
fail)
6. China
VS.
US
China
Items
US
market
compeIIon
talents
tech
-‐
infra
tech
-‐
ecosystem
$
investment
7. Wearable
and
Healthcare
Name:
Tom
Walking
steps/day:
2000
Running
duraIon:
30
minutes
Sleeping
score:
75
Heartbeat
min/median/max:
70/80/90
RecommendaIons:
Follow-‐up
for
heartbeat
More
walking
needed
10. Huami
• MiBand-‐1
@2014/8
@79
RMB
• 10M
users,
2rd
worldwide,
next
to
Fitbit
• Amazfit
@2015/9
@299
RMB
• More
coming
in
next
few
months
11. Huami
–
how
we
do
it
• Business
model:
low
cost
band
• Technology:
wearable
hardware,
user
app,
and
robust
cloud
with
big
data
system
• Talent:
3
locaIons
14. Compare:
Pros
&
Cons
AWS
Google
MS
Azure
Aliyun
Global
coverage
Yes
Yes
China
coverage
Yes
Features
Yes
Yes
Open
source
friendly
Yes
Yes
Quality
and
stability
Yes
(since
2006)
Yes
Yes
New
features
Yes
Price
Yes
Yes
Yes
DocumentaIon
Great
OK
OK
Poor
15. Our
choice
is
AWS
• AWS
has
the
best
technology
and
quality.
• AWS
has
the
best
global
coverage.
• Aliyun
has
the
best
coverage
in
China.
24. Data
products
• Helping
user
to
beZer
track
his/her
acIvity,
includes
fitness
and
health
• Develop
an
ecosystem
with
partners
from
different
areas
(smart
appliance,
security,
payment,
and
many
others)