Manage change to distributed big data analysis so every release can be rolled back.
Designing Distributed Big Data Analysis Strategies
Build a working method for distributed big data analysis that stands up to scrutiny and survives daily pressure.
📍 Cairo🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Security and delivery speed are traded against each other in distributed big data analysis whether or not anyone says so. Most outages involving data analysis are triggered by a change somebody considered routine. This programme builds this part of technology and systems delivery from first principles, without padding and without omitting what matters. Exercises escalate in difficulty, ending with the ambiguous situations that make distributed big data analysis hard in practice. Participants take away a working set of documents supporting this area of technology and systems delivery, ready to be adapted internally. Teams frequently over-invest in documenting data analysis and under-invest in testing it. It is appropriate for those preparing to take on wider responsibility for distributed big data analysis. The professional literature on data analysis converges on a small set of controls that reliably work. The programme ends where implementation begins, with the wider technology and systems delivery agenda broken into steps someone can start on Monday.
Expected Learning Outcomes
Design backup and recovery for data analysis and prove it by restoring.
Assign clear ownership for each element of distributed big data analysis across the functions involved.
Test data analysis under realistic load before it meets real load.
Build incident response for distributed big data analysis with defined severity and escalation.
Estimate what data analysis costs to run properly, and what is lost when it is not.
Recognise early indicators that distributed big data analysis is drifting away from its intended design.
Who Should Attend
Planning staff whose forecasts and budgets are affected by distributed big data analysis.
Service desk and support leads handling incidents in data analysis.
Software engineers and technical leads building distributed big data analysis.
Network and communications engineers supporting data analysis.
Business partners who must understand distributed big data analysis well enough to challenge it.
Quality and test engineers verifying data analysis.
Course Modules
Distributed big data analysis: security, identity and least privilege
2 sessions · 8 pointsSession 1The change to distributed big data analysis that caused the last outage
- Set out how exceptions to distributed big data analysis are requested and approved.
- Agree what will be standardised in data analysis and what will not.
- Prepare the response for the most likely failure in distributed big data analysis.
- Set delivery and reliability indicators for data analysis the team trusts.
Session 2Retiring the legacy part of data analysis
- Review access rights on distributed big data analysis and remove what is no longer needed.
- Run a load test on data analysis at expected peak plus a margin.
- Measure current load on distributed big data analysis and project it forward twelve months.
- Confirm data retention and deletion rules applied within data analysis.
Data analysis: monitoring, alerting and observability
2 sessions · 8 pointsSession 1Testing data analysis before relying on it
- Configure alerting on distributed big data analysis that reflects what users experience.
- Prepare the summary of data analysis that senior management will read.
- Record the technical debt in distributed big data analysis and schedule repayment.
- Assign responsibility for keeping documentation of data analysis current.
Session 2Where data analysis typically breaks, and why
- Define acceptance criteria for distributed big data analysis in advance.
- Confirm every release of data analysis can be rolled back within a defined time.
- Identify single points of dependency in distributed big data analysis and reduce them.
- Plan the sequence in which improvements to data analysis will be introduced.
Data analysis: change control and rollback
2 sessions · 8 pointsSession 1Running an incident on data analysis calmly
- Rehearse the briefing on distributed big data analysis that would follow an incident.
- Document the runbook for data analysis to the level a new engineer could use.
- Define incident severity levels for distributed big data analysis and the response each triggers.
- Identify where judgement in data analysis is legitimate and where it is not.
Session 2Proving the backup of distributed big data analysis by restoring it
- Set out the decisions in distributed big data analysis that require sign-off and by whom.
- Review logging on data analysis for coverage and retention.
- Inventory third-party dependencies inside distributed big data analysis and their update status.
- Review whether data analysis is aligned with the objectives of the technical platform.
Data analysis: requirements, targets and service levels
2 sessions · 8 pointsSession 1Documenting data analysis so someone else can operate it
- State the availability and recovery objectives for distributed big data analysis as numbers.
- Apply change control to data analysis including emergency changes.
- Check that records of distributed big data analysis answer the questions likely to be asked.
- Identify the single points of failure in data analysis.
Session 2The cost of data analysis and how to present it
- Identify the data already collected that bears on distributed big data analysis.
- Restore a backup of data analysis in a test environment and time it.
- Agree the indicators that will show whether distributed big data analysis is improving.
- Rank the weaknesses in data analysis by consequence rather than by ease of fixing.
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
We will contact you within one business day to confirm.