Data Consulting Services | Data Lake Consulting Services

Data lake consulting services

Unleash the full potential of your data by bringing it all together. A modern data lake allows you to store and analyze massive volumes of diverse data—from structured database records to unstructured logs and social media feeds—in one centralized repository. Our data lake consulting services help you design, build, and govern a scalable data lake that breaks down data silos and serves as the foundation for your most advanced analytics, machine learning, and AI initiatives.

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Pythian has the top data lake consultants

Our data lake consulting services are delivered by a team of certified cloud experts using proven methodologies to build a centralized, scalable, and secure data platform for your analytics and AI needs.

25+

Years of experience

For over two decades, we have been helping the world's leading organizations solve their most complex data challenges, giving us the deep expertise needed to design and implement a high-performance data lake.

45+

Data technologies supported

Pythian supports over 45 technologies, ensuring we can design and integrate a data lake that fits your unique technology stack.

500+

Global customers

We serve customers across the globe, many of whom have been with us for decades, trusting us to build and manage the critical data platforms that run their business.

What's included in Pythian's data lake consulting services?

An end-to-end service for your data lake journey

Our data lake consulting is a comprehensive service designed to handle every stage of your project. We create a strategic, actionable roadmap to build a data lake that delivers immediate and sustained business value.

Data lake strategy and design

We begin by assessing your data sources, analytics requirements, and business objectives to design a custom data lake architecture on your cloud platform of choice, including AWS, Google Cloud, and Azure.

Data ingestion and pipeline development

Our team builds robust, scalable data pipelines to ingest all types of data—structured, semi-structured, and unstructured—from any source in batch or real-time.

Data storage optimization

We implement best practices for efficient and cost-effective cloud storage, utilizing optimal partitioning strategies, compression, and modern file formats like Apache Parquet and Delta Lake.

Data processing and transformation

We configure and deploy powerful processing engines like Apache Spark and Databricks to transform raw data into a curated, analytics-ready format for your data scientists and analysts.

Governance and security implementation

We establish a robust governance framework to ensure your data lake is secure and well-managed. This includes implementing data catalogs, metadata management, and fine-grained access controls to protect sensitive data.

Canadian retailer accelerates insights with a unified data platform

A leading Canadian clothing retailer struggled with siloed data and slow, manual reporting processes that hindered its ability to make timely decisions. By deploying Pythian’s Enterprise Data Platform (EDP) Quickstart for Google Cloud, the company created a centralized source of truth. This new data lake enables self-serve analytics, allowing business users to access critical insights in near real-time and drive a more data-driven culture.

Read the customer story ->
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Business outcomes you can expect from our data lake consulting service

Power your business with a unified data foundation

A modern data lake is the foundational step for any business looking to harness the power of advanced analytics and AI. We help you build a data platform that centralizes information, accelerates innovation, and reduces costs.

Centralize all your data

Break down data silos by creating a single source of truth for all your data, regardless of type or source. A unified data lake provides a holistic view of your business operations and customer behavior.

Enable advanced analytics and AI

Provide your data scientists with access to massive, diverse datasets. A data lake is the ideal environment for building and training sophisticated machine learning models, running predictive analytics, and powering generative AI applications.

Increase business agility

Quickly ingest and analyze new and emerging data sources without the rigid schema constraints of a traditional data warehouse. This flexibility allows you to rapidly respond to changing market conditions and new business opportunities.

Reduce data storage costs

Leverage inexpensive and highly scalable cloud object storage to store petabytes of data in its native format, significantly reducing the total cost of ownership compared to traditional on-premises systems.

How Pythian's data lake consulting service works

A proven process for a high-performance data lake

As an experienced data partner, our consultants use a proven process to build a sustainable data lake that accelerates innovation, reduces costs, and strengthens security from day one.

Discovery and strategy

We begin by assessing your current data systems and business processes to identify key challenges and opportunities, defining a strategic roadmap for your data lake implementation.

Design and build

We analyze your environment to design a detailed architecture and implementation plan. Our team then builds and configures the cloud infrastructure, storage layers, and data processing frameworks tailored to your needs.

Ingestion and integration

Our team manages the full implementation, deploying technologies and data quality rules to ingest data from your source systems and train your teams on the new platform.

Optimization and governance

Our support extends beyond implementation. We offer post-launch managed services to support your day-to-day operations, including continuous monitoring, performance tuning, and cost optimization.

Centralize your data to power advanced analytics and AI

Ready to build a scalable and secure data lake?

Related resources

Learn how our customers succeed with data lake consulting

Explore technical insights and learn how our customers succeed with a modern data lake. Dive deeper into the features and best practices of modern data platforms.

Canadian retailer unlocks self-serve analytics
CS-Canadian-retailer-accelerates-data-insights-with-Google-Cloud-Analytics-QuickStart-Banner

Canadian retailer unlocks self-serve analytics

Learn how a top Canadian retailer moved from slow, manual reporting to near real-time insights. By implementing a modern data lake on Google Cloud, the company broke down data silos and empowered its business teams with self-serve analytics capabilities.

Read the story ->
AEG Worldwide creates a unified view of fanbase
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AEG Worldwide creates a unified view of fanbase

AEG, a global leader in live sports and entertainment, needed to consolidate fan data from hundreds of disparate sources. By building a centralized data platform, the company can now analyze fan behavior to personalize marketing campaigns and enhance the fan experience across its venues.

Read the story ->
Health provider improves care with analytics
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Health provider improves care with analytics

Discover how a Canadian long-term care provider overcame platform limitations by deploying an Enterprise Data Platform on Google Cloud. The new solution allows them to analyze 10 billion data points, access self-serve analytics, and lay the foundation for predictive care with machine learning.

Read the story ->

Frequently asked questions (FAQ) about data lake consulting

What is data lake consulting?

Data lake consulting services are provided by an experienced partner like Pythian to help you design, build, optimize, and manage a centralized repository for all your structured and unstructured data. We use a proven process to establish a scalable and secure platform that supports advanced analytics and AI.

What is the difference between a data lake and a data warehouse?

A data warehouse typically stores structured, processed data for specific business intelligence and reporting tasks. A data lake stores all types of data—structured, semi-structured, and unstructured—in its raw format, making it ideal for data exploration, data science, and machine learning where the questions may not be known in advance.

What's included in your data lake consulting services?

Our data lake consulting services cover the entire project lifecycle, from an initial assessment and strategic design to the implementation of data pipelines, storage, and processing frameworks. We also manage the deployment and can offer post-launch managed services for ongoing support.

 

How do you ensure data in the lake is secure and governed?

We implement a robust security and governance framework from the start. This includes establishing clear policies for data access, handling, and classification, along with implementing data catalogs, encryption, and fine-grained access controls to ensure your sensitive information is protected.

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