Data warehouse consulting

Build a robust data warehouse, migrate it to the cloud, or build a complex data solution with a reliable partner by your side.

Our data warehouse consulting services Our services

N-iX provides a full range of data warehousing services, including data warehouse research,
discovery, implementation, and support to help you get the maximum value from your data.
We have over 200 data experts onboard and over 30 data projects in our portfolio.

Data warehouse research and design

Our team will help you create an effective data warehouse strategy, choose the best data warehouse model, and build a prototype.

Data warehouse implementation

We offer an entire cycle of DWH development: from integration of data sources to full automation of data processes.

Data warehouse migration / optimization

Our experts will migrate your DWH to the cloud, scale it up, and help you optimize performance and costs.

Data warehouse support

We will implement small adjustments, make changes that are covered by SLA, and provide an overall support of your DWH.

How can you benefit from data warehouse consulting?

Our data warehouse consultancy specialists will assist you in every step of your data transformation journey.

Consolidate data access

A well-designed and integrated DWH ensures governed and secure access to data across your organization.

Reduce human involvement

A carefully chosen DWH platform allows you to save up to 60% of efforts in deployment, administration, and support.

Optimize costs

Data warehouse consulting includes an ongoing optimization of your infrastructure and cloud spending.

Accelerate ROI

Improve the overall visibility of the processes and take business decisions based on clean and accurate data.

How it works How it works

N-iX offers 360 data warehouse consulting services. Typically, data warehouse consulting has four phases:

01. Strategy

During this phase we will explore an existing ecosystem including:

  • Clarification of the stakeholders’ vision and objectives
  • Reviewing the environment and existing systems
  • Measuring current capability and scalability
  • Creating a risk management framework.
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02. Discovery phase

We offer a Discovery Phase as a service to help you validate your idea, choose a tech stack, estimate ROI, and build a feasible prototype.

  • Defining client’s business needs
  • Analysis of existing reports and ML models
  • Review and documentation of existing data sources, and existing data connectors
  • Estimation of the budget for the project and team composition.
  • Data quality analysis
  • Detailed analysis of metrics
  • Logical design of data warehouse building
  • Logical design of ETL architecture
  • Proposing several solutions with different tech stacks
  • Building a prototype.
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03. Development

Based on your needs and chosen tech stack, our experts will build a robust data warehouse. Some of the steps will include:

  • Physical design of databases and schemas
  • Integration of data sources
  • Development of ETL routines
  • Data profiling
  • Loading historical data into data warehouse
  • Implementing data quality checks
  • Data automation tuning
  • Achieving DWH stability.
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04. Ongoing support

We will help you build a dedicated team for ongoing support of the data warehouse. Overall, the support will cover:

  • Fixing issues within the SLA
  • Lowering storage and processing costs
  • Small enhancement
  • Supervision of systems
  • Ongoing cost optimization
  • Product support and fault elimination.
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Technologies we work with Tech stack

Cloud providers

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Data warehouse services and databases

Data warehouse consulting: helping you choose the right services and databases

Storage and databases

data warehouse consulting: storage and databases

Why choose N-iX to help you with data warehouse consulting? Why us

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N-iX is a certified AWS Advanced Consulting Partner, a Microsoft gold certified partner, a Google Cloud Platform Partner, an Opentext Services silver partner, and a SAP partner.

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2,200+ professionals ready to consult and support you through every stage of your data warehouse implementation project.
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N-iX specialists have a proven track record working with cloud-based tools such as Snowflake, Redshift, BigQuery, EMR, Dataproc, Cloud Composer, Synapse Analytics, Azure Data Factory, Databricks, etc.
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Compliance with international regulations, including ISO 27001:2013, PCI DSS, ISO 9001:2015, GDPR, and HIPAA, so your data will always be safe.

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N-iX experts have solid expertise in Cloud native and agnostic development, Big Data engineering, Data Analytics, Data Science, ML&AI, BI, DevOps, and Security.

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Successful partnerships with Lebara, Gogo, Vable, Orbus Software, and many other leading companies to help them leverage the benefits of the cloud and data analytics.

START YOUR DATA TRANSFORMATION JOURNEY NOW
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Data warehouse consulting: Success stories Case studies

Gogo is a leading provider of in-flight connectivity and entertainment with over 20 years of experience. The company’s superior technologies, best-in-class service, and global reach help planes fly smarter, airline partners perform better, and their passengers travel happier.

The Challenge

The company needed a qualified engineering team to undertake a complete transition of Gogo solutions to the cloud, as well as build a unified data platform, improve existing reports, and introduce new solutions in order to provide the best speed of the in-flight Internet.

The Solution

Our team has built the data warehouse system for storing and processing significant amounts of data. It helps the client to receive timely reports and provides the ground for operational processes. N-iX experts have also created an AWS-based data platform and built a data lake for collecting data from more than 20 different sources in one place. The data lake also has a separate layer that provides information for the company's data warehouse, improving the reporting process (while some business applications can connect directly to the data lake to extract information).

More about our Data Engineering and AI expertise

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