mongodb iot city tour london: how m2m and iot are changing the playing field of data. machina...
DESCRIPTION
Presented by, Emil Berthelsen, Principal Analyst at Machina Research. Emil discusses the market landscape for M2M and IoT, and the impact of these market developments on database requirements.TRANSCRIPT
Machina Research
How M2M and IoT are changing the playing field of dataM2M/IoT market landscapes and the ‘new’ in databases
September 2014
The leading research/consulting firm focusing on the emerging opportunity for new connected devices and applications, i.e. M2M, IoT and Big Data
• Support our clients through• Machina Research Advisory Service – our multi-client
annual subscription service comprising forecasts, reports and access to the analysts (see below)
• Custom Research & Consulting –client-specific research
• We have the most focused research on M2M and IoT fields of any analyst firm in the world: we provide the most granular forecasts for the global M2M and IoT opportunities, supported by the most robust analysis of market issues and dynamics
• Machina Research was founded in 2010, and brings to its clients a professional team of industry analysts with many years of experience in M2M research and consulting
Machina Research 2
About us
Machina Research 3
What is M2M and IoT, and why should we take note of it? M2M and IoT• is not just about the €1.5
trillion revenue opportunity by 2023
• or that more than 34.1 billion connections will have been implemented by end of 2023
• it is about creating new services which • improves people’s lives• delivers better customer
experiences• generates improved
efficiency• reduces costs and waste
20132014
20152016
20172018
20192020
20212022
20230
5,000,000
10,000,000
15,000,000
20,000,000
25,000,000
30,000,000
35,000,000
40,000,000
M2M PCs, tablets, handset data
Figure 2: Global M2M & IoT connections [Source: Machina Research, 2014]
20132014
20152016
20172018
20192020
20212022
20230
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1,600,000
1,800,000
Figure 1: Global M2M & IoT revenue opportunity (in euro billions)[Source: Machina Research, 2014]
Improved living
standards
New customer
experiences
Improved efficiency
Reduced costs and
waste
New Services
Internet of Things
• Data is now being generated at an accelerated pace – from astronomical surveys, to financial transactions, to retail data, and to hospital imaging or CCTV data – the “digital” library of Alexandria
• An ever increasing amount of data from social media like Facebook, Twitter, SnapChat and more ‘traditional’ communications’ channels like SMS and voice calls
• Historically, costs for storing this data has led to significant “information disposal,” but falling storage prices as well as potential data value and the ability to data mine unstructured data has led to new business models
• M2M and IoT data – through the growing number of connections – continues to add to the acceleration of Big Data
Machine-to-Machine
Business-to-Business Transactions
An accelerated pace is observed in data creation and storage
People-to-People Interactions
Machina Research 4
Within the enterprise
Internet of Things
Machine-to-Machine
Isolated (autonomous, disconnected)
MonitoredRemotely controlled
and managed
Smart Systems (Intelligence in the Subnets of Things )
Internet of Things
Tens
H
undr
eds
Th
ousa
nds
Mill
ions
B
illio
ns C
onne
ction
s
Machina Research 5
telemetry and
telematics
Smart HomesConnected Cars
Intelligent BuildingsIntelligent Transportation
SystemsSmart Meters and Grids
Smart RetailingSmart Enterprise
Management
Building automation
ManufacturingSecurityUtilities
SensorsDevicesSystemsThings
ProcessesPeople
IndustriesProducts Services
Connections are becoming increasingly more pervasive in the Internet of ThingsGrowth in connections generates an unparalleled scale of data
Some examples of M2M and IoT
Security & Access controls
AV sources
Home network infrastructure
Building automation
Solar panels
White goods
SMART HOME &CONSUMER ELECTRONICS
Smart grids
Smart meters
Renewable energy sources
SMART UTILITIES
Machina Research 6
WATER LEVELMONITOR
Security & Tracking
Entertainment & Infotainment
Manufacturer data
Navigation
Insurance
CONNECTED CAR
eCall
Electric vehicles
SUBNET OF THINGS:VIRTUAL POWER PLANTS
M2M and IoT solutions are complex and made up of several components
Devices
Networks
Platforms
Internet of Things
Connected things, products, systems, applications, etc.
Security
Storage
ApplicationsData Processing
Machina Research 7
A new mindset and technology is required for M2M & IoT
A changing approach to databases in M2M and the Internet of Things
Machina Research 8
Doing more of the same will no longer meet the requirements
DataInternet of ThingsPre-IoT (M2M)
Big data (scale & heterogeneity)
Large estates of heterogeneous devices
Limited estate of devices
Agile models(agility & extensibility)
Evolving applications and data sets
Single, fit-for-purpose applications
Different data types(flexibility)
All forms of data including unstructured data
Structured / Semi-structured data
Real-time data analytics
(speed & performance)
Real-time and parallel processing with
actionable insightsAlerts and alarms
Evolution from M2M to IoT introduces new data management requirements
Machina Research 9
Consistency(integrity & consistency)
Open and shared data, continuously evolvingSpecific data sets
Data
Big data
Agile models
Data types
Real-time data analytics
Machina Research 10
Five important characteristics emerge in IoT when dealing with data management
Consistency
Scalability
Agility
Flexibility
Speed
Integrity
New characteristics are addressed at different levels by different types of databases
Scalability
Agility
Flexibility
Speed
Integrity
Auto sharding / partitioning
Schema structures
Data types
Performance, MPP, fast query
ACID
Machina Research 11
NewSQL
Low High
SQLNoSQL
NoSQL NewSQL SQL
Machina Research 12
Different databases with different strengths – enterprises will need to understand what applications need
Scalability, Agility & Flexibility Scalability & Speed Integrity & Speed
• What scale of data is involved? Thousands of records, millions of records per hour?– question of scalability of the database and performance
• How much of the data needs to be queried, and how often would you expect to create new queries?– ability and agility to create new queries and new data models
• What kind of data is generated from your connected devices? Now and in the near future?– difference between structured/semi-structured/unstructured
• What is the ‘criticality’ of the application in terms of processing data quickly (fast)?– low latency and performance (speed) of queries
• Are there strict compliance rules that need to be followed?– Data integrity and consistency become paramount
Machina Research 13
Understanding what your database needs to handle is key
For the majority of applications in IoT, scalability, agility and flexibility will be key
NoSQL NewSQL SQL
Machina Research 14
Scalability
Agility
Flexibility
Scale of the data
Dynamic nature of applications
Structure of data
Low High
Speed
Integrity
Performance, MPP, fast query
ACID
Answering ‘how M2M and IoT are changing the playing field of data’• Significant scale and requirements change
in the market between M2M and IoT
• With the focal point shifting from device and connectivity management in M2M to applications and data in M2M and IoT, five new characteristics emerge
• In M2M and IoT, scalability, agility and flexibility will be priorities in applications, and NoSQL and NewSQL databases will be fairly well aligned with these requirements
Machina Research 15
Machina Research
Thank You !!!
Machina ResearchAnalyst Team
Matt Hatton, Director & [email protected]: +44 7787 577886Skype: mattyhattonTwitter: @MattyHattonBlog: wirelessnoodle.blogspot.com
Jim Morrish, Director & [email protected]: +44 7747 632428Skype: jim.morrishTwitter: @jimmorrishBlog: jim-morrish.blogspot.com
Emil BerthelsenPrincipal Analyst (UK)[email protected]: +44 7714 671539Skype: embe-machinaresearchTwitter: Emil_Berthelsen
Emma BucklandPrincipal Analyst (UK)[email protected]: +44 7950 887505Skype: elab1972
Andy CastonguayPrincipal Analyst (USA)[email protected]: +1-619-888-1397Skype: castonga
Alex ChauPrincipal Analyst (Asia)[email protected]: +852 9325-5501Skype: alexkchau
Godfrey ChuaPrincipal Analyst (USA)[email protected]: +1 617 388 4800Skype: godychua
Jeremy GreenPrincipal Analyst (UK)[email protected]:+44 790 358 1858Skype:jeremy_green
Margaret RankenAssociate Principal Analyst (UK)