Data warehouse services
Data Warehouse Services
Data Never Sleeps. Make Sure You Turn It Into Value.
Every day, businesses struggle with fragmented, slow data systems that hinder decision-making. Sales teams wait for critical business insights as they’re dependent on IT teams to run queries and set up dashboards. Finance teams grapple with discrepancies in multiple spreadsheets and inaccuracies in reports, while IT teams are overwhelmed fixing software bugs. Leadership is forced to make decisions based on outdated, unreliable data.
We specialize in setting up Cloud-native Data Warehouses using scalable platforms like Snowflake and Amazon Redshift, that eliminate barriers with traditional solutions, and accelerate business operations. Whether you’re starting from scratch or modernizing outdated systems, we build new data warehouses or migrate and optimize your existing data infrastructure. Our solutions ensure fast, real-time queries, seamless data integration, and improved performance.
To keep your systems refreshed and in sync, we automate data movement with Kafka-based pipelines, enabling real-time data flow across all systems.
Security is not an afterthought, but is something carefully designed into our Data solutions. We integrate IBM Guardium to automatically classify, encrypt, and secure your sensitive data while implementing role-based access, so only the right teams have access to the information they need.
Instant 360
View Of Customers
10x
Faster Business Decisions
80%
Reduction in Cloud Costs
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When data is stored in disparate, disconnected systems, it becomes hard to get a clear, holistic view of your business. It should be simple to make sense of what’s happening, make timely decisions and be operationally efficient, isn’t it?
Centralize all of your Data and set up AI Agents to act like your Analyst, with Codewave’s Data Warehouse Services and Agentic AI Development Services. We make it easier to analyze, and act on your data with the power of Gen AI and Agentic AI.
If you’re struggling with issues like data discrepancies, slow report generation, disparate systems and inefficient processes; our Data Warehouse Advisory Service is for you.
We start by assessing your current Data systems, processes and infrastructure to identify issues and what needs fixing. We also understand your business vision and Data strategy, how you aspire to use Data as your competitive advantage. Based on our findings and strategic alignment, we recommend solutions. We also provide expert consulting and implementation of security best practices, compliances, governance and ethics, strengthening your Data management capabilities.
Example: A business wants to make Data as its strategic MOAT, to differentiate itself from competitors. But their current systems and infra, aren’t fast and accurate enough. We migrate them into modern day platforms where Data flows seamlessly in realtime and is made actionable for AI Agents to automate actions, giving the business a strategic advantage and making it difficult for competitors to replicate their USP.
When your data is scattered across disparate systems like Salesforce and SAP, it is difficult to unify, centralize Data, make sense of it and get a clear, holistic view of your business reality when it matters. It’s tough to make strategic decisions when you’re constantly fighting with fragmented data that’s not realtime or inaccessible in realtime.
We design and implement cloud-native data warehouses that centralize and simplify your data. Using Snowflake, we analyze your data sources and create an architecture that ensures seamless integration, flow and cloud-native scalability. We implement Apache Kafka for real-time data flow and Fivetran for automating ETL pipelines, reducing manual work and improving data accuracy.
For example, a retail business brings all its Data from demand to supply in one system (marketing, sales, customers, orders, warehouse, inventory, production), making the business operate like a well-orchestrated symphony. When demand changes, the supply and pricing is dynamically adjusted. Sales teams stay on top of changing prices and sales / orders, adjust their promotions to stimulate demand.
You know the signs—queries take forever, reports don’t show correct numbers, and even small updates break things. Outdated data systems don’t make your business fast.
We help businesses embrace modern day Data platforms for speed, agility and accuracy. We help migrate from legacy, on-premise data warehouses to cloud-native platforms like Snowflake or Redshift—without downtime or data loss. Starting with an assessment, we choose the right platform, architecture and a migration strategy. We use AWS DMS for seamless, zero-downtime database migration, Azure Data Factory to rebuild scalable ETL pipelines, and dbt to carry over business logic intact, ensuring data consistency post-migration.
For example, a telecom provider migrating from an on-prem Oracle DWH to Redshift sees their month-end reporting take just 20 minutes, instead of 6 hours. In this case, data models, access rules, and ETL jobs are replicated without rewriting from scratch—your teams keep working without disruption.
Even the best data warehouse doesn’t entirely run on autopilot. With rapid changes in the Digital world, your warehouse can fail to tick off new compliances, continue to use obsolete practices, pipelines may fail and your teams quietly stop trusting what they see. When issues are discovered too late—after they’ve already impacted decisions, your business loses time and opportunity.
We provide ongoing support to keep your data warehouse healthy, accurate, and audit-ready. Our team uses Azure Monitor and AWS CloudWatch to monitor pipeline health and job failures, while dbt helps with automated testing to catch broken stuff before they affect your dashboards. We fix schema drift, patch integration issues, and track user activity to prevent unauthorized access, all with zero business interruption.
For example, a retail chain sees discrepancies in Data, mismatches between sales and inventory data. We set up monitoring systems to help you identify gaps & issues, flag them, and even automatically trigger some fixes with the help of AI Agents.
When you rely on your data warehouse for business-critical decisions, even the smallest error can lead to misguided strategies and poor decisions. Without thorough testing, issues like broken pipelines, outdated data, and mismatched values go unnoticed, leaving your teams with unreliable, poor quality insights.
We implement robust testing frameworks to ensure every Data query returns accurate results. We manage workflows and automate testing with Apache Airflow, and use dbt for data quality checks to ensure consistency. Great Expectations helps us maintain data integrity, catching discrepancies early. We also use Testcontainers to verify schema changes and business logic, ensuring the system remains stable.
For example, a financial services company continuously tests its data warehouse before updates hit the dashboard. When a new data source is integrated, automated tests check for discrepancies, ensuring the numbers always align. If an issue arises, the system flags it instantly, so the fix is applied before it affects reporting.
As your data grows with new data sources, performance can lag. Queries can take longer, leading to decisions getting delayed. Without continuous optimization, your data warehouse can become a bottleneck for your business.
We audit your data warehouse with SQL Profiler and Query Store to identify bottlenecks like slow queries and resource issues. For optimization, we apply indexing, partitioning, and query adjustments, using Apache Spark for large-scale data processing. We improve data quality with Talend for cleansing and validation, and implement Collibra to ensure compliance and data accuracy.
Example: A retail company faces delays in processing sales reports due to slow query performance. After auditing the system, performance issues like inefficient queries and poor data structure are identified. Indexing and query adjustments are applied, improving reporting speed and enabling quicker decision-making.
Industry- Specific Data Warehouse Solutions
| Industry | Key Data Types | How We Help |
| Healthcare |
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We centralize patient and clinical data for real-time decision-making, improving patient care and ensuring regulatory compliance. |
| Insurance |
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Our solutions integrate diverse data sources such as claims data, customer demographics, agent activity, to improve claims processing, fraud detection, and customer insights. |
| Retail & Ecommerce |
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We create a unified data view that boosts stock management, improves customer experience, and optimizes marketing strategies. |
| Transportation & Logistics |
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We enable real-time tracking and performance analytics, optimizing route planning, inventory management, and cost efficiency. |
Stop losing time and money to a broken data warehouse.
Data Warehouse, Done Right.
Data can be your biggest MOAT—when managed right. Codewave helps turn complex data into your business’s most valuable asset.
The Tech Stack Powering Your Data Warehouse
| Data Storage | Snowflake, Amazon Redshift, Azure Synapse |
Data Integration | Apache Kafka, Fivetran, Talend |
| Data Quality | Talend, Informatica, Ataccama |
| Data Governance | Collibra, Alation |
| Data Processing | Apache Spark, Databricks |
| ETL/ELT | Apache NiFi, AWS Glue |
| Data Visualization & BI | Power BI, Tableau, Looker |
| Security & Compliance | IBM Guardium, AWS IAM, Azure Security Center |
What to expect
What to expect working with us.
We transform companies!
Codewave is an award-winning company that transforms businesses by generating ideas, building products, and accelerating growth.
Frequently asked questions
Our design thinking methodology ensures your data warehouse solution is built with user needs at the center. We start by deeply understanding your business processes, user workflows, and analytics requirements before architecting the technical solution. This approach leads to higher user adoption, better ROI, and more meaningful insights from your data.
Implementation timelines vary based on complexity and scope, but typically range from 3-6 months for initial deployment. Our agile methodology allows for quick wins with iterative improvements. We provide a detailed timeline during the discovery phase, with clear milestones and deliverables.
We implement multiple layers of security including encryption at rest and in transit, role-based access control, and audit logging. Our solutions comply with industry standards (GDPR, HIPAA, etc.) and we conduct regular security assessments. We also provide documentation and training for security best practices.
Yes, we specialize in integrating diverse data sources including legacy systems, cloud applications, and third-party services. Our expertise spans multiple integration patterns (ETL/ELT, real-time, batch) and we ensure seamless connectivity while maintaining data quality and consistency.
We offer flexible support packages including 24/7 monitoring, performance optimization, user training, and regular health checks. Our global team ensures continuous support across time zones, with defined SLAs and dedicated support channels.
We implement comprehensive data governance frameworks including data quality rules, metadata management, and data lineage tracking. Our solutions include automated quality checks, cleansing procedures, and monitoring tools to ensure data accuracy and reliability.
Our unique combination of design thinking methodology, global expertise, and focus on SME needs sets us apart. We provide end-to-end solutions from strategy to implementation, with a proven track record of successful deployments across multiple industries and geographies.
Costs vary based on project scope, complexity, and ongoing support needs. We offer flexible pricing models including fixed-price projects and monthly subscriptions. We work with you to define a solution that fits your budget while delivering maximum value.
