BU 455 Unit 4 Batch and Streaming Design Example

Course	BU 455 Big Data Management
Unit	Unit 4
Paper type	Batch and streaming design
Length	About 900 words, 6 pages
Format	APA 7 student paper
School	Herzing University
Program	BS in Business Analytics
Updated	October 2026

Free sample paper for BU 455 Unit 4

Four Things Need Seconds, Five Only Sound Urgent: A Batch and Streaming Design for a Composite Bike-Share Operator, and Where the Two Paths Must Agree

Student Name

Business, Herzing University

BU 455: Big Data Management

Instructor Name

February 25, 2026

What this page is doingThe title gives the sorting result, which is the core of this unit, and names the reconciliation problem that designs with two paths often ignore. A reader expects each workload to be placed with a reason.

Four Things Need Seconds, Five Only Sound Urgent: A Batch and Streaming Design for a Composite Bike-Share Operator, and Where the Two Paths Must Agree

One Workload at a Time

Pedalworks Mobility, the composite Pacific Northwest bike-share operator in this course, has been told by its chief executive that the business wants everything in real time. That instruction cannot be designed as stated, because every real-time path costs more to build, run and correct than a scheduled one, and much of what the business asks for does not change a decision within seconds. This design sorts the company's data workloads one at a time into those that genuinely need an answer within seconds or minutes and those that only sound urgent, designs a path for each group, and states where the two paths have to agree.

The test applied to every workload was simple: what decision depends on this answer, and how much worse is the decision if the answer arrives an hour later? Akidau et al. (2015) argue that the choice between batch and streaming should follow from the latency and completeness each result needs, not from a preference for one style of system, and the sorting below applies that argument to Pedalworks' workloads.

What Genuinely Needs Seconds or Minutes

Four workloads pass the test.

Workload	Decision it drives	Needed within	Why an hour is too late
Bike moving fast while locked or outside the service area	Security lead calls police and disables the bike	About 60 seconds	A bike on a truck is gone within the hour
Brake or motor fault code from a bike	Bike is blocked from being rented	About 60 seconds	The next rider could be injured
Station full or empty at a busy hub	Rebalancing van is sent	About 2 minutes	Riders arriving at a full station cannot end their trips
E-bike battery below 10% in use	Rider is warned in the app and shown the nearest station	About 60 seconds	The rider may be stranded before an hourly job runs

What Only Sounds Urgent

Five workloads were described to the analyst as real-time needs, and each was placed on a schedule after asking what decision it drives. The chief executive's live revenue dashboard supports a weekly pricing review; an hourly refresh loses nothing. The city's trip data feed is required by the contract within 24 hours of each trip; an hourly export meets it with room to spare. Battery swap routes are planned for crews who start each shift with a route; a run every 30 minutes before shift changes is enough. Predicting which bikes need maintenance is a nightly decision about which bikes to pull in the morning. And the marketing team's ride statistics feed a weekly email.

None of these became less useful by moving to a schedule, and placing them there keeps the real-time path small, which is what makes it reliable.

What this page is doingEach workload that sounded urgent is tested against the decision it drives and placed on a schedule with a reason. That sorting is what keeps the streaming path small enough to be dependable.

The Two Paths

The streaming path is deliberately small. Bike and station messages arrive at a managed message queue, the kind the company's cloud provider already offers. One small service reads the queue, checks each message against the four rules above, sends alerts to the crew app or a block command to the bike platform, and passes every message on to the database. The rules are simple conditions on the latest message, so the service holds almost no state and can be restarted in seconds.

The batch path uses the systems from earlier units. An hourly job builds the revenue dashboard, the city feed and the swap routes from the database. A nightly job writes the previous day's telemetry to columnar files, updates summary tables and scores bikes for maintenance. Kreps (2014) cautioned against designs that implement the same logic twice, once for streaming and once for batch, because the two versions drift apart. Here the paths compute different things, alerts on one side and aggregates on the other, which avoids duplicating logic.

When the Streaming Path Fails

A real-time path is only useful if its failures are handled, so the design states what happens when each part stops. If the alert service stops, messages wait in the queue, which keeps them for seven days, and the service processes the backlog when it restarts; alerts older than five minutes are logged rather than sent, since a van dispatched to a station that filled an hour ago wastes a trip. If the queue itself is unavailable, bikes buffer their messages locally, as they already do in garages, and a fallback check runs against the database every five minutes so that theft and fault alerts are delayed rather than lost. A heartbeat message from the service every minute lets the operations manager's dashboard show whether the path is alive. These failure rules were written before the path was built, because the question of what happens when it stops is the one that determines whether crews will trust its alerts.

Where the Two Paths Must Agree

Three points require agreement, and each has a rule. First, station counts: the stream sends alerts based on the latest station message, while the hourly report counts station states from the database. Both read the same station status records, so the report cannot contradict the alerts except for timing. Second, late messages: bikes in underground garages buffer their messages and send them minutes later. The stream judges alerts by the time the message was sent by the bike, not when it arrived, and ignores messages more than five minutes old for alerting purposes, while the batch path includes them in its totals. Kleppmann (2017) describes this distinction between event time and processing time as central to keeping streaming and batch results consistent. Third, theft alerts against confirmed incidents: a daily job compares alerts with incidents the security lead confirmed, so false alarms can be counted and the rules tuned.

Designing both paths was necessary here because the business has both kinds of need. A company with no decisions needing answers within minutes would need no streaming path at all. Pedalworks and every rule and time here belong to the composite case for the course.

References

Akidau, T., Bradshaw, R., Chambers, C., Chernyak, S., Fernández-Moctezuma, R. J., Lax, R., McVeety, S., Mills, D., Perry, F., Schmidt, E., & Whittle, S. (2015). The dataflow model: A practical approach to balancing correctness, latency, and cost in massive-scale, unbounded, out-of-order data processing. Proceedings of the VLDB Endowment, 8(12), 1792-1803. https://doi.org/10.14778/2824032.2824076

Kleppmann, M. (2017). Designing data-intensive applications: The big ideas behind reliable, scalable, and maintainable systems. O'Reilly Media.

Kreps, J. (2014, July 2). Questioning the Lambda Architecture. O'Reilly Radar. https://www.oreilly.com/radar/questioning-the-lambda-architecture/

BU 455 Unit 4 instructions, in plain terms

BU 455 Unit 4 asks students to design batch and streaming processing for a case. Typical requirements include classifying workloads by the latency they truly need, justifying each classification by the decision it supports, designing the streaming and batch paths, and explaining how results from the two paths stay consistent. Many instructors ask what to do when a case says everything must be real time; the expected answer tests each workload against its decision. A design need not include both paths if the case has no urgent needs. Modeling a company's real pipeline is discouraged. Workload tables and path descriptions in APA 7 are typical deliverables.

How this BU 455 Unit 4 example is built

The paper opens with the chief executive's demand for real time and the test used for every workload. A table lists four workloads needing seconds or minutes, with the decision each drives and why an hour is too late. A section explains why five other workloads move to schedules. A section describes the small streaming path and the hourly and nightly batch jobs, citing a warning against duplicated logic. A section defines three points where the paths must agree, including event-time handling of late messages and a daily reconciliation. A section sets failure rules for the streaming path, and the close notes that a company without urgent decisions would need no stream.

Reading the BU 455 Unit 4 rubric

Batch and streaming rubrics usually reward workload-by-workload classification, decision-based justification, a proportionate design, consistency between paths and failure handling, with writing and sources. Classification earns full credit when each workload is placed individually. Justification scores highest when latency needs are tied to specific decisions. Proportionality rewards keeping the streaming path as small as the urgent needs allow. Consistency is judged on whether the student identifies where paths must agree and how, including late data. Failure handling earns points when the design states what happens when streaming components stop. Instructors often credit students who push back on real-time demands with evidence rather than accepting them.

BU 455 Unit 4 help before you submit

Batch and streaming designs often lose points by putting everything on the streaming path because the case said real time. Another common problem is designing both paths without explaining how their results reconcile. Students frequently ignore late-arriving data, which makes streaming counts disagree with batch reports. Some duplicate the same logic in both paths, which then drifts apart. Others describe tools without tying them to workloads. Many omit what happens when the streaming service fails. A design that quietly loses theft alerts during an outage has a hole that matters more than its throughput, so the fallback deserves its own short paragraph. Finally, modeling the design on your company's pipeline can disclose operational details; a composite case shows the same reasoning without exposing anyone's systems.

Get a BU 455 Unit 4 example written to your instructions

Put the Unit 4 instructions in front of us with your BU 455 rubric and the scenario or event description the assignment provides. The custom example costs lateness for every workload before choosing a path, designs the batch side first, says what happens to repeated and late records, and closes on reconciliation. First custom sample free, returned in 24 to 48 hours.

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BU 455 Unit 4 questions, answered

The case says the business wants everything in real time. Then what?

Record the request and test it against consequence, which is precisely what this unit asks for. Wanting a figure immediately is not the same as being unable to act on it an hour later, and the column between those two is what actually happens in the meantime. Where the case genuinely supports it, design for it and state what the continuous path costs against the alternative.

Does the design have to include both paths?

Not necessarily, and concluding that one path serves the entire case is a legitimate result when the table supports it. What earns the criterion is visible sorting work: every workload examined against timing and correction, and the ones that could have justified a second path named rather than passed over. A single-path design with no evidence of that examination reads as a default.

Could I model this on the pipeline my company runs?

Design the case instead. Event rates, the intervals your jobs run on and what breaks when one of them fails are operating details of a system the organization depends on, and a submitted document is outside anyone's control once uploaded. Build on the assignment scenario. What you have watched fail at three in the morning will still shape which failures you think to design around.

Where can I find a free BU 455 Unit 4 sample paper?

A complete BU 455 Unit 4 batch and streaming design is available on this page at no charge, with the workload tables, both paths and margin notes. For your own case, email the prompt and a custom design follows free, generally within 48 hours.

What if the case says everything must be real time in BU 455 Unit 4?

Test each workload against the decision it drives. The sample keeps four alerts on a stream and moves five supposed real-time needs, such as a revenue dashboard, to schedules without losing anything.

BU 455 Unit 4 batch and streaming design example