Pipeline and data flow acceleration — Optimize phase

Data & Pipeline Acceleration

Faster pipelines, ETL/ELT, and data flows — without overloading servers or multiplying costs

When data arrives late, decisions arrive late. Slow pipelines, inefficient ETL/ELT processes, and accumulating latency slow down reports, analytics, and workloads. We work with precision on data extraction, transformation, and loading to deliver fast insights, without overloading servers or inflating processing costs.

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At a glance

The service in brief

Service: Optimization and acceleration of pipelines, ETL/ELT processes, and data flows.
When you need it: Data and reports arrive late, and processing is slow or puts too much load on the infrastructure.
R.O.C.E. phase: Optimize: the second phase of the Miriade R.O.C.E. methodology (Recover · Optimize · Control · Evolve).
Scope: Pipelines, ETL/ELT, analytics workloads, and databases, across cloud, on-premises, and hybrid environments.
Approach: Precise work on extraction, transformation, and loading, without overloading servers.
Distinct from: Tuning of individual queries (Analytics & Query Performance Optimization) and the diagnostic audit (Platform Performance & Cost Audit).

When you need it

When data arrives late

The service helps when slow data flows have a direct impact on decisions, costs, or infrastructure stability.

Pipelines that take hours to complete a cycle.

Reports and dashboards that arrive after decisions have to be made.

ETL/ELT processes that overload servers during processing.

Latency that grows as data volumes increase.

Overnight processing windows that run into the working day.

Analytics and AI left waiting for data.

Processing costs that rise because of slowness.

What it includes

What we work on

ETL/ELT optimization

We review extraction, transformation, and loading: logic, execution order, parallelism, dependencies, and redundant steps, for faster and lighter cycles.

Pipeline latency reduction

We identify and remove the bottlenecks that build up delay along the flow, so data reaches its destination on time.

The result

From slow to accelerated

The goal is not just to "go faster" but to make flows sustainable: fast, predictable, and light on the infrastructure.

Before

ETL runs past its processing window.

Servers come under stress during jobs.

Reports and data are ready too late.

Latency grows with data volume.

More processing time means higher costs.

After

Processing completes within the planned times.

Distributed, sustainable load on the infrastructure.

Data and reports are ready when they are needed.

Stable latency, even at the largest volumes.

The same work with fewer resources and lower costs.

From the field

Success stories

Documented Miriade engagements, with measurable results on processing times.

Case study

Accelerated AS/400-to-Oracle ETL

An ETL flow between AS/400 and Oracle took two hours: how we brought it down to a few seconds.

Learn more Case study · HVAC leader

Zero-impact upgrade on Amazon RDS

Upgrading a 10 TB PostgreSQL database on Amazon RDS before end of life, without stopping thousands of IoT devices.

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Technologies

The technologies we use

Some of the technologies and platforms we work with on this service.

Performance and Costs Out of Control

From audit to optimization

Pipeline acceleration is one of the targeted engagements that derive from the inefficiency map.

Optimize

Platform Performance & Cost Audit

Performance and cost assessment: the prioritized map of inefficiencies.

Optimize

Data & Pipeline Acceleration

Faster pipelines and ETL/ELT, without overloading servers.

You are here

Optimize

Cloud, Platform & Data FinOps Optimization

Cost control for cloud, data, and infrastructure with the FinOps framework.

Optimize

Analytics & Query Performance Optimization

Query and database tuning: fewer resources, lower license costs.

Optimize

Application Code & Runtime Assessment

Code and runtime analysis: where the application loses performance.

Optimize

Code & Application Optimization

Code refactoring and optimization: faster, lighter applications.

Explore the challenge: Performance and Costs Out of Control

FAQ

Frequently asked questions

How is it different from Analytics & Query Performance Optimization?

That service optimizes individual queries and databases. Here, we work on the entire ETL/ELT flow and on end-to-end latency. The two engagements are often combined.

Do you need more hardware to go faster?

Often not. Reviewing logic, parallelism, and bottlenecks frees up speed without adding resources.

Do you only work on cloud pipelines?

No. Cloud, on-premises, and hybrid, with heterogeneous sources and destinations — databases, files, AS/400, data platforms.

Is there a risk of breaking existing pipelines?

No. We work in a controlled way, with testing and verification, and we preserve the results the flows produce.

How does it start?

With an analysis of the flow — or with the Platform Performance & Cost Audit — to understand where the delay builds up.

Do you also optimize costs, not just timings?

Yes. More efficient processing means fewer resources and lower costs. For a broader cost engagement, it connects to the FinOps program.

Are your pipelines too slow?

Tell us which flows are slowing you down and what their timings are. We identify the bottlenecks and accelerate extraction, transformation, and loading, without overloading the infrastructure.

Request an engagement

Let's accelerate your data flows

Tell us which pipelines are slowing you down and what their processing times are. We identify the bottlenecks and accelerate extraction, transformation, and loading.

We work on ETL/ELT and latency, not just on individual queries.

Acceleration often comes without adding hardware.

In a controlled way, with testing and verification, without breaking existing flows.

We use the data you submit only to contact you about this request.