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Data Platforms
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Spark Pipelines
3
Team
4
Revenue
5
Mission Critical
6
Observability
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Data Platforms
Spark Pipelines
Team
Revenue
Mission Critical
Observability
Step 1 Out of 6
Data Platform
Spark Pipelines
Team
Revenue
Data Criticality
Observability

What are your primary data platforms?

Select all that apply.

Spark on-prem
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Spark in the cloud (e.g., over K8S)
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AWS EMR
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Azure HDInsight
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Databricks
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GCP Dataproc
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Other
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* Please complete all required fields before proceeding.
Data Platforms
2
Spark Pipelines
3
Team
4
Revenue
5
Mission Critical
6
Observability
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3
4
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Data Platforms
Spark Pipelines
Team
Revenue
Mission Critical
Observability
Step 2 Out of 6
Data Platform
Spark Pipelines
Team
Revenue
Data Criticality
Observability

How many Spark pipelines do you run?

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*
Data Platforms
Spark Pipelines
3
Team
4
Revenue
5
Mission Critical
6
Observability
3
4
5
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Data Platforms
Spark Pipelines
Team
Revenue
Mission Critical
Observability
Step 3 Out of 6
Data Platform
Spark Pipelines
Team
Revenue
Data Criticality
Observability

How many Spark data engineers are in your org?

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*
Data Platforms
Spark Pipelines
Team
4
Revenue
5
Mission Critical
6
Observability
4
5
6
Data Platforms
Spark Pipelines
Team
Revenue
Mission Critical
Observability
Step 4 Out of 6
Data Platform
Spark Pipelines
Team
Revenue
Data Criticality
Observability

What is your annual revenue?

Less That $500M
$500M - $1.9B
$2B - $4.9B
$5B - $9.9B
More Than $10B
* Please complete all required fields before proceeding.
Data Platforms
Spark Pipelines
Team
Revenue
5
Mission Critical
6
Observability
5
6
Data Platforms
Spark Pipelines
Team
Revenue
Mission Critical
Observability
Step 5 Out of 6
Data Platform
Spark Pipelines
Team
Revenue
Data Criticality
Observability

How mission-critical is your data?

Select the option that best describes how central data is to your business operation.

Low
Medium
High
* Please complete all required fields before proceeding.
LOW - some data use-cases and analytics
MEDIUM - significant data analytics, some product/operational use-cases
HIGH - data-driven products, significant ML/AI and data-centric operation
Data Platforms
Spark Pipelines
Team
Revenue
Mission Critical
6
Observability
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Data Platforms
Spark Pipelines
Team
Revenue
Mission Critical
Observability
Step 6 Out of 6
Data Platform
Spark Pipelines
Team
Revenue
Data Criticality
Observability

How mature is your data & pipeline observability?

Select the option that best describes your org's maturity level

Low
Medium
High
* Please complete all required fields before proceeding.
LOW - no DQ / pipeline / performance monitoring, manual DQ checks, Spark UI focus
MEDIUM - some DQ / pipeline monitoring, in-house DQ tools, basic cloud cost monitoring
HIGH - automated DQ anomaly detection, 3rd party DQ / optimization tools

Calculating...

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Data Platforms
2
Spark Pipelines
3
Team
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Revenue
5
Mission Critical
6
Observability

Potential Annual Savings Summary

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Overall Potential Savings
Total Savings
$0
Data Infra Waste
0
Total Cost
0
Estimated Waste
0
Recoverable Waste
Data Downtime Business Impact
0
Number of Incidents
0
Recoverable loss
Data Engineering Capacity Waste
0
Estimated Waste
0
Recoverable Waste

Infra waste & potential savings

Cost Waste Recoverable Waste (cost savings)
Min Max Avg Min. Max. Avg.
Daily
$0
$0
$0
$0
$0
$0
$0
Monthly
$0
$0
$0
$0
$0
$0
$0
Annually
$0
$0
$0
$0
$0
$0
$0

Data incidents impact & potential savings

# of incidents Impact (before maturity & centrality) Impact (adjusted for maturity & centrality) Potential savings
Daily
$0
$0
$0
$0
Monthly
$0
$0
$0
$0
Annually
$0
$0
$0
$0

Data Engineering capacity waste

Effort (capacity) related to Data Ops Total capacity DataOps % (waste) of total Potential savings Savings % of total
Infra/platform Engineers Data Producer Engineers Total Engineers Total
# of engineers
0
0
0
0
Monthly
Effort (days) per engineer
0
$0
$0
Total effort (days)
0
$0
$0
$0
Total cost
0
$0
$0
$0
$0
$0
$0
Annually
Effort (days) per engineer
0
$0
$0
Total effort (days)
0
$0
$0
$0
Total cost
0
$0
$0
$0
$0
$0
$0