Sequence improvements to real-time sensor data processing so that each step makes the next one easier.
Building Strategies for Real-Time Sensor Data Processing
Move real-time sensor data processing from general awareness to a repeatable, reviewable practice.
📍 Abu Dhabi🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
The documentation for real-time sensor data processing is accurate only until the next release. Technical debt in data processing is borrowed against future delivery capacity, at compound interest. Participants come from operational and oversight roles, and both perspectives on this part of technology and systems delivery are used deliberately. The version of real-time sensor data processing described in the manual and the version practised on the floor tend to diverge over time. Field experience suggests that the barrier to better this area of technology and systems delivery is rarely technical. Participants test their assumptions about data processing against scenarios designed to break weak ones. The outcome is a practitioner who can hold a position on real-time sensor data processing and revise it on evidence. The course sets out a working method for data processing that participants can apply the week they return. Participants finish with a short, specific brief on this part of technology and systems delivery ready to put in front of a decision maker.
Expected Learning Outcomes
Distinguish the parts of data processing that must be standardised from those that require judgement.
Build incident response for real-time sensor data processing with defined severity and escalation.
Apply a repeatable review cycle to data processing and act on what it produces.
Test real-time sensor data processing under realistic load before it meets real load.
Secure the software supply chain and dependencies within data processing.
Structure the service desk and support model for real-time sensor data processing.
Who Should Attend
Network and communications engineers supporting real-time sensor data processing.
Managers of multi-site operations seeking consistency in data processing.
IT managers and service owners responsible for real-time sensor data processing.
Solution architects designing data processing.
Staff seconded into improvement work on real-time sensor data processing.
Quality and test engineers verifying data processing.
Course Modules
Real-time sensor data processing: incident response and severity
2 sessions · 8 pointsSession 1Retiring the legacy part of real-time sensor data processing
- Set the review interval for real-time sensor data processing and who attends.
- Restore a backup of data processing in a test environment and time it.
- Prepare the response for the most likely failure in real-time sensor data processing.
- Prepare the summary of data processing that senior management will read.
Session 2Making releases of data processing routine instead of risky
- Apply change control to real-time sensor data processing including emergency changes.
- Review access rights on data processing and remove what is no longer needed.
- Check that real-time sensor data processing still works when volumes rise unexpectedly.
- Assign responsibility for keeping documentation of data processing current.
Data processing: documentation, support and handover
2 sessions · 8 pointsSession 1Monitoring data processing from the user's point of view
- Test the failover for real-time sensor data processing rather than assuming it works.
- Measure current load on data processing and project it forward twelve months.
- Configure alerting on real-time sensor data processing that reflects what users experience.
- State the availability and recovery objectives for data processing as numbers.
Session 2Escalation and decision rights in data processing
- Confirm that reporting on real-time sensor data processing reaches the people who can act.
- Set delivery and reliability indicators for data processing the team trusts.
- Identify where judgement in real-time sensor data processing is legitimate and where it is not.
- Confirm the support model and escalation path for data processing.
Data processing: capacity, performance and load
2 sessions · 8 pointsSession 1Running an incident on data processing calmly
- Anticipate the objections real-time sensor data processing will raise and prepare the answers.
- Set out how exceptions to data processing are requested and approved.
- Confirm data retention and deletion rules applied within real-time sensor data processing.
- Review whether data processing is aligned with the objectives of the technical platform.
Session 2Moving real-time sensor data processing from approval to execution
- Confirm every release of real-time sensor data processing can be rolled back within a defined time.
- Benchmark the organisation's data processing against comparable operations.
- Set escalation thresholds for real-time sensor data processing that work out of hours.
- Identify the data already collected that bears on data processing.
Data processing: security, identity and least privilege
2 sessions · 8 pointsSession 1Getting other functions to support data processing
- Set out the decisions in real-time sensor data processing that require sign-off and by whom.
- Map the handovers in data processing between functions and secure them.
- Establish who is informed, consulted and accountable in real-time sensor data processing.
- Assess the exit route from any cloud or vendor dependency in data processing.
Session 2The change to data processing that caused the last outage
- Record the technical debt in real-time sensor data processing and schedule repayment.
- Identify the single points of failure in data processing.
- Document the runbook for real-time sensor data processing to the level a new engineer could use.
- Define incident severity levels for data processing and the response each triggers.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
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