Data Warehousing & Data Lakehouse Services for Trusted Analytics & AI
Many businesses have a variety of data sources available to them, but due to poor connectivity of systems, there can be inconsistencies in reporting and limited insight from the data. At Code1Tech, our Data Warehousing and Data Lakehouse services help businesses organize, structure, and govern data across multiple platforms in a scalable way.
Our data warehousing and data lakehouse services will help organizations obtain meaningful analytics, support AI projects, remain compliant with industry standards, and ultimately make decisions based on the most relevant and promptly available information through improving their access to quality BI solutions.
Build a Trusted Foundation for Analytics, Reporting & AI
Your organization's greatest asset is its data, but this only applies if your organization has accurate, accessible, and effectively governed data. There are many challenges facing businesses today that make this happen:
The Problem
Current Challenges
- Data is spread out across various systems
- Departments are receiving inconsistent reports
- Reporting is taking a long time
- There is minimal data governance
- It is hard to scale analytics projects
- Lack of visibility into operational performance
- There are challenges with supporting AI and machine learning projects
The Code1 Advantage
How We Help
- Consolidate data from multiple sources
- Enhance reporting accuracy
- Implement governance & security controls
- Provide self-service analytics capabilities
- Support advanced analytics & AI
- Scale data platforms seamlessly
- Decrease operational complexity
Our Data Warehouse & Lakehouse services provide organizations with the ability to have a single, centralized, and trusted source of data, which enhances decision-making today, as well as helps enable future innovations.
Build a Trusted Data Foundation
Enable effective reporting, analytics, and AI with a single, governed source of truth.
Data Warehouse vs Data Lakehouse
Understand the two foundational architectures behind modern analytics what each does best, and where each delivers the most value for your business.
What Is a Data Warehouse?
A data warehouse is a single place for all data to be stored, managed, and retrieved. The purpose of a data warehouse is to provide a systematic method to collect, manage, and access data from multiple databases (operational systems) into a central location that allows for the creation of reports, dashboards, and business intelligence.
Unlike transactional systems, which are primarily concerned with daily business activities, a data warehouse is created to be an analytical tool to support analysis of historical information.
- Standardized enterprise-level reporting
- Higher data accuracy and consistency
- Long-term trend and historical analysis
- Faster, more efficient business intelligence
- Better decision-making across functions
- Improved governance and compliance
- Executive reporting
- Financial reporting
- Sales performance analysis
- Customer analytics
- Regulatory reporting
- Operational dashboards
What Is a Data Lakehouse?
Today's businesses are faced with a need to handle both structured and unstructured data in an increasingly analytics-oriented, Machine Learning-driven (ML-driven) world…and they must also provide these services through the use of Artificial Intelligence (AI) technologies. By combining the benefits of a traditional data warehouse and traditional data lake, Data Lakehouses allow you to take advantage of the benefits of a Data Lake (i.e., storing large amounts of data) while having the advantages of a traditional data warehouse, such as data governance, performance, reliability, and analytical capabilities. With a Data Lakehouse architecture, you can store large amounts of a variety of data and meet the governance requirements for performing sophisticated enterprise analytics.
- Process structured and unstructured data
- Enable AI and ML workloads at scale
- Lower storage costs
- Real-time analytics
- Highly scalable architecture
- Unified single repository for all data
- Comprehensive governance and security
- AI initiatives and ML pipelines
- Customer 360 / full customer view
- IoT and sensor data analytics
- Predictive and preventive maintenance
- Real-time enterprise reporting
- Advanced analytics workloads
Implement a modern Data Platform to support analytics, AI, and growth opportunities.
Our Data Warehousing Services
A successful data warehouse requires more than technology implementation. It requires careful planning, architecture design, governance, and optimization.
Enterprise Data Warehouse Design
Data Warehouse Modernization
Cloud Data Warehouse Solutions
Data Integration & ETL/ELT Design
Data Warehouse Optimization
Data Governance Frameworks
Modernize Your Reporting Environment
Build a scalable enterprise warehouse that grows with your business.
Our Data Lakehouse Services
Our Lakehouse consulting services help organizations create flexible, future-ready platforms capable of supporting analytics, machine learning, and AI initiatives.
Lakehouse Strategy & Architecture
Data Lakehouse Implementation
Medallion Architecture Design
Real-Time Data Platforms
AI-Ready Data Platforms
Lakehouse Governance
Create a Future-Ready Data Platform
Support advanced analytics and AI with a modern Lakehouse architecture.
Data Warehouse vs Data Lakehouse: Which Is Right for Your Business?
Selecting the proper architecture is based on objectives of your organization, data complexity and governance, as well as any future analytics. A traditional data warehouse would be most beneficial to an organization that is focused on reporting or structured analytics. A Lakehouse architecture provides the flexibility needed to enable support for AI and ML, real-time analytics, and multiple types of data.
Our architects assess your organization's needs and provide guidance regarding the best architectural approach based upon what your organization currently requires, and then matches it to what it will require. We evaluate:
- Data volume and complexity.
- Reporting needs.
- Level of governance maturity.
- Plans for using AI and ML.
- Strategy regarding the cloud.
- Budget for architecture.
- Scalability needs.
Identify the right architecture for your analytics and growth goals.
Cloud Data Platforms We Support
We design and deploy modern cloud data environments using leading technologies and recommend based on your business goals, not vendor preference.
Data Warehouse Platforms
Lakehouse Platforms
Integration & Transformation
Business Intelligence
Data Warehouse & Lakehouse Migration Services
Many companies still use outdated data platforms that restrict growth potential, cost more to maintain than maintaining current platforms, and slow down creative development. We provide migration services to help businesses successfully upgrade to modern cloud computing technologies with very little business interruption.
Migration Services Offered
Evaluation of existing Legacy Warehouse
Assess your existing legacy warehouse, identify technical debt, performance gaps, and define a clear migration baseline before any move.
Migration Plan Development
Develop a detailed migration plan covering scope, sequencing, data mapping, and cutover strategy to minimize business interruption.
Data Governance Inspection and Confirmation
Validate governance frameworks, data quality standards, and compliance readiness before and after migration.
Performance Enhancement
Re-engineer queries, tune storage, and optimize compute on the new platform so the modernized warehouse runs faster and costs less.
Governance Modernization
Modernize governance frameworks and provide ongoing post-migration support to keep the new platform reliable, secure, and continuously optimized.
Post-Migration Support
Provide ongoing support after migration to ensure your new data platform remains stable, performant, and aligned with business needs.
We will assist you in migrating from legacy systems such as SQL Server, Oracle, Teradata and Hadoop.
Why continue to use a legacy infrastructure? Take the plunge and move to a modern analytics system today with assurance.
Security, Governance & Compliance
Trusted and protected data is required for rigorous and powerful analytics. Our Governance-First methodology will create visibility, accountability and compliance within the company's entire data footprint.
Our Governance Services
Our Governance services will assist in establishing trustworthy and secure data within an organization by using proven methodologies for Data quality framework, Metadata management, Data lineage tracking, Access controls, Master Data management, Compliance assessment, and Audit readiness assistance.
Compliance Considerations
Our products are built with compliance as a foundational element which will assist in achieving compliance with regulations such as GDPR, HIPAA, CCPA and industry specific regulations. Security, Governance, Access Controls and Data Protection are all embedded within every architectural decision from day 1.
Why Choose Code1Tech for Warehousing & Lakehouse
Designing modern data platforms requires expertise across architecture, governance, analytics, cloud technologies, and business strategy.
Build Scalable Cloud-Native Architectures
Build cloud data solutions that fit your business today and in the future by designing a cloud data architecture that is flexible. Our cloud data architectures are proven safe, reliable, and cost-effective to use; they can scale to meet the changing needs of your business.
Prioritize Governance and Trust
Create a governance framework to improve the quality, security, compliance, and visibility of your data so that your organization can have confidence in the data they work with on a day-to-day basis.
Build AI-Ready Data Foundations
Create a trusted and AI-ready data foundation to allow your company to utilize machine learning, predictive analytics, and advanced reporting capabilities; this will provide your company with actionable intelligence from all of the data you have.
Remain Vendor-Neutral
Our goal is to recommend and implement technology solutions that best meet your current and future business needs with maximum flexibility, interoperability, and long-term value.
Deliver End-to-End Implementation Support
We will help you implement your data platform from the development of a strategy to the implementation of the solution. We are here for you during all phases of your data platform lifecycle.
Bring Experience Across Industries and Technologies
We are a multidisciplinary team with experience in multiple industries and in the same platform and technology. We are committed to providing you with practical and scalable solutions.
Frequently Asked Questions
Connect with Us Today!
Want to turn your data into an asset that will help with your overall strategy? If you're starting with Lakehouse initiatives, modernizing analytics, strengthening governance, or building an AI-ready platform, we've got the experts who can help! Get in touch with us now to have a conversation about what you are trying to achieve and so we can find ways we can help you realize that value from your data!
- Single, trusted source of data across the enterprise
- Scalable cloud-native warehouse and Lakehouse architectures
- Governance, security, and compliance embedded by design
- AI-ready foundations for ML, predictive analytics, and BI