| © Copyright 2024, InfluxData
1
Solving Manufacturing
Challenges with Time Series
Data
The Assembly Show - 2024
Suyash Joshi - sjoshi@influxdata.com
@suyashcjoshi
| © Copyright 2024, InfluxData
2
2
whoami
Sr. Developer Advocate at InfluxData
{Engineer & Maker}
| © Copyright 2024, InfluxData
3
Agenda
● Intro to Time Series Data & Databases
● Industry 4.0 - Time Series Data
● Use Cases
● Resources & Q&A
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4
Time Series Data 101
4
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5
Time Series Data
Finance, Manufacturing, Healthcare etc
BioMetrics
(Sensor Data)
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6
Time Series Data
Cloud, Application, Server Monitoring
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7
Metrics & Events
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8
Use Cases - Time Series
Warehouse IoT
Devices
Time series databases address a few major
issues.
Ingest - A high amount of data streaming in at
nano second precision
Compression - The ability to store this large
data set without breaking the bank
Cardinality - The need to store wide rows,
timestamped data with multiple values
Querying on Time - Instead of indexes or
values, querying on time
Track + Monitor
application
infrastructure
Metrics from
everywhere
Robotics and
Green Energy
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9
Data
Data Lake
Machine
Learning
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10
Industry 4.0
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11
TIME SERIES
Rise of time series data
DOCUMENT SEARCH
RELATIONAL
• Events, metrics, time-stamped
• For IoT, analytics, cloud native
• Distributed
search
• Logs
• Geo
• High
throughput
• Large
document
• Orders
• Customers
• Records
Time series is fastest growing
data category by far
All others
Time series
source: DB Engines
influxdb
| © Copyright 2024, InfluxData
12
What makes InfluxDB Special
12
| © Copyright 2024, InfluxData
13
Uniquely equipped for time series data
Scale
Designed to scale for large volumes of time series data
Distributed
Non-blocking high volume writes and reads
Availability
Write and read availability are prioritized over consistency
Management
Data lifecycle management with built-in data retention
Flexible
Schema on write
| © Copyright 2024, InfluxData
14
High performance at any scale
Unlimited
Data points per second
Billions
Data cardinality
| © Copyright 2024, InfluxData
15
InfluxDB 3.0: Columnar database for
high performance & low cost
Unlimited
Cardinality
Optimized for ingest
scale & speed
Optimized for low latency
analytical queries
Hot data in memory Optimized writes & reads
Sub-second responses for
recent data
One datastore for all
time series data
Real Time Lowest cost
storage
Optimized for lowest
cost long term storage
Cold data in object store
Superior compression
& reduced TCO
| © Copyright 2024, InfluxData
16
InfluxDB 3.0: Run on cloud & on-premises
Cloud Serverless (Free to start!)
• managed service for small &
medium workloads
Cloud Dedicated
• managed service for large
enterprise workloads
Clustered
• software for large enterprise
workloads in self-managed
environments
| © Copyright 2024, InfluxData
17
InfluxDB 3.0: A Peek inside FDAP Stack
Apache Flight for high
performance network data transfer
Apache DataFusion for optimized
query planning and execution
Apache Arrow for in-memory
columnar analytics
Apache Parquet for best-in-class
compression and storage
F
D
A
P
● Increased developer productivity
● Rich Integrations & Seamless Interoperability
● Open Standards based, always improving
| © Copyright 2024, InfluxData
18
InfluxDB for Industrial IoT
18
| © Copyright 2023, InfluxData
19 | © Copyright 2023, InfluxData
19
Why InfluxDB for Industrial IoT?
Trusted by 1,900+ customers
✔ Enable Predictive Maintenance
✔ Improve Profitability
✔ Get Real-time Insights
✔ Optimize OEE & Production
| © Copyright 2023, InfluxData
20
Industrial IoT (IIoT) Partnerships & Integrations
| © Copyright 2023, InfluxData
21
Data Processing & Storage
● Archive
● Analyze,
Visualize
● Process,
Transform
● Train for ML
| © Copyright 2024, InfluxData
22
Edge Data Replication (EDR)
EDGE
EDR removes a lot of complexity to
maintain Edge to Cloud replication and
thus enabling Customers to bring OT
and IT closer and eliminate data
silos.
HUB
| © Copyright 2023, InfluxData
23
Case Studies
23
| © Copyright 2023, InfluxData
24
T H A N K Y O U
| © Copyright 2023, InfluxData
25
T H A N K Y O U
| © Copyright 2023, InfluxData
26
T H A N K Y O U
| © Copyright 2023, InfluxData
27
IO-Base + InfluxDB
Secure, Performant, Agile, Industrial Data Twin platform
➔ Centralized master data from Data
Historian silos
➔ Minimum onsite infrastructure:
only collection/transmission - no
maintenance
➔ Ease of data sharing securely
➔ Hardware / network agnostic
➔ Highest level of cyber-security
ENERGY
EFFICIENCY INNOVATION.
PERFORMANCE.
SECURITY.
| © Copyright 2023, InfluxData
28
T H A N K Y O U
| © Copyright 2024, InfluxData
29
InfluxDB for ju:niz energy
| © Copyright 2024, InfluxData
30
Resources
Sign up for Free!
Resources
● Blogs : https://www.influxdata.com/blog
● Documentation: https://docs.influxdata.com
● InfluxDB University (free training): https://influxdbu.com
● Community: https://influxcommunity.slack.com & https://community.influxdata.com
❖ www.influxdata.com/cloud
❖ via cloud marketplace
| © Copyright 2024, InfluxData
31
T H A N K Y O U

Solving Manufacturing Challenges with Time Series Data.pdf

  • 1.
    | © Copyright2024, InfluxData 1 Solving Manufacturing Challenges with Time Series Data The Assembly Show - 2024 Suyash Joshi - sjoshi@influxdata.com @suyashcjoshi
  • 2.
    | © Copyright2024, InfluxData 2 2 whoami Sr. Developer Advocate at InfluxData {Engineer & Maker}
  • 3.
    | © Copyright2024, InfluxData 3 Agenda ● Intro to Time Series Data & Databases ● Industry 4.0 - Time Series Data ● Use Cases ● Resources & Q&A
  • 4.
    | © Copyright2024, InfluxData 4 Time Series Data 101 4
  • 5.
    | © Copyright2024, InfluxData 5 Time Series Data Finance, Manufacturing, Healthcare etc BioMetrics (Sensor Data)
  • 6.
    | © Copyright2024, InfluxData 6 Time Series Data Cloud, Application, Server Monitoring
  • 7.
    | © Copyright2023, InfluxData 7 Metrics & Events
  • 8.
    | © Copyright2024, InfluxData 8 Use Cases - Time Series Warehouse IoT Devices Time series databases address a few major issues. Ingest - A high amount of data streaming in at nano second precision Compression - The ability to store this large data set without breaking the bank Cardinality - The need to store wide rows, timestamped data with multiple values Querying on Time - Instead of indexes or values, querying on time Track + Monitor application infrastructure Metrics from everywhere Robotics and Green Energy
  • 9.
    | © Copyright2024, InfluxData 9 Data Data Lake Machine Learning
  • 10.
    | © Copyright2024, InfluxData 10 Industry 4.0
  • 11.
    | © Copyright2024, InfluxData 11 TIME SERIES Rise of time series data DOCUMENT SEARCH RELATIONAL • Events, metrics, time-stamped • For IoT, analytics, cloud native • Distributed search • Logs • Geo • High throughput • Large document • Orders • Customers • Records Time series is fastest growing data category by far All others Time series source: DB Engines influxdb
  • 12.
    | © Copyright2024, InfluxData 12 What makes InfluxDB Special 12
  • 13.
    | © Copyright2024, InfluxData 13 Uniquely equipped for time series data Scale Designed to scale for large volumes of time series data Distributed Non-blocking high volume writes and reads Availability Write and read availability are prioritized over consistency Management Data lifecycle management with built-in data retention Flexible Schema on write
  • 14.
    | © Copyright2024, InfluxData 14 High performance at any scale Unlimited Data points per second Billions Data cardinality
  • 15.
    | © Copyright2024, InfluxData 15 InfluxDB 3.0: Columnar database for high performance & low cost Unlimited Cardinality Optimized for ingest scale & speed Optimized for low latency analytical queries Hot data in memory Optimized writes & reads Sub-second responses for recent data One datastore for all time series data Real Time Lowest cost storage Optimized for lowest cost long term storage Cold data in object store Superior compression & reduced TCO
  • 16.
    | © Copyright2024, InfluxData 16 InfluxDB 3.0: Run on cloud & on-premises Cloud Serverless (Free to start!) • managed service for small & medium workloads Cloud Dedicated • managed service for large enterprise workloads Clustered • software for large enterprise workloads in self-managed environments
  • 17.
    | © Copyright2024, InfluxData 17 InfluxDB 3.0: A Peek inside FDAP Stack Apache Flight for high performance network data transfer Apache DataFusion for optimized query planning and execution Apache Arrow for in-memory columnar analytics Apache Parquet for best-in-class compression and storage F D A P ● Increased developer productivity ● Rich Integrations & Seamless Interoperability ● Open Standards based, always improving
  • 18.
    | © Copyright2024, InfluxData 18 InfluxDB for Industrial IoT 18
  • 19.
    | © Copyright2023, InfluxData 19 | © Copyright 2023, InfluxData 19 Why InfluxDB for Industrial IoT? Trusted by 1,900+ customers ✔ Enable Predictive Maintenance ✔ Improve Profitability ✔ Get Real-time Insights ✔ Optimize OEE & Production
  • 20.
    | © Copyright2023, InfluxData 20 Industrial IoT (IIoT) Partnerships & Integrations
  • 21.
    | © Copyright2023, InfluxData 21 Data Processing & Storage ● Archive ● Analyze, Visualize ● Process, Transform ● Train for ML
  • 22.
    | © Copyright2024, InfluxData 22 Edge Data Replication (EDR) EDGE EDR removes a lot of complexity to maintain Edge to Cloud replication and thus enabling Customers to bring OT and IT closer and eliminate data silos. HUB
  • 23.
    | © Copyright2023, InfluxData 23 Case Studies 23
  • 24.
    | © Copyright2023, InfluxData 24 T H A N K Y O U
  • 25.
    | © Copyright2023, InfluxData 25 T H A N K Y O U
  • 26.
    | © Copyright2023, InfluxData 26 T H A N K Y O U
  • 27.
    | © Copyright2023, InfluxData 27 IO-Base + InfluxDB Secure, Performant, Agile, Industrial Data Twin platform ➔ Centralized master data from Data Historian silos ➔ Minimum onsite infrastructure: only collection/transmission - no maintenance ➔ Ease of data sharing securely ➔ Hardware / network agnostic ➔ Highest level of cyber-security ENERGY EFFICIENCY INNOVATION. PERFORMANCE. SECURITY.
  • 28.
    | © Copyright2023, InfluxData 28 T H A N K Y O U
  • 29.
    | © Copyright2024, InfluxData 29 InfluxDB for ju:niz energy
  • 30.
    | © Copyright2024, InfluxData 30 Resources Sign up for Free! Resources ● Blogs : https://www.influxdata.com/blog ● Documentation: https://docs.influxdata.com ● InfluxDB University (free training): https://influxdbu.com ● Community: https://influxcommunity.slack.com & https://community.influxdata.com ❖ www.influxdata.com/cloud ❖ via cloud marketplace
  • 31.
    | © Copyright2024, InfluxData 31 T H A N K Y O U