Data warehouse consulting services to redefine how your organization manages data
Our data warehouse consultants help you implement, migrate, or modernize DWH to optimize performance and costs.
We help companies like yours navigate their Data Warehouse (DWH) journeys, whether for implementing a scalable data warehouse or upgrading the existing one. Our data warehouse consulting covers all four phases: strategy, design and development, and ongoing support.
Our team comprises – architects, consultants, data quality specialists, BI consultants, data engineers & more. They work with you to solve complex challenges related to data quality & master data management. We build comprehensive DWH solutions, including enterprise data warehouse (EDW), Operational Data Store (ODS), and Data Mart. And they have hands-on experience with managing DWH components, including central database, ETL (Extract, Transform, Load) tools, and access tools.
Our team has sound experience with leading data warehousing tools like Azure Synapse Analytics, Amazon Redshift, Snowflake and more. We specialize in data modeling & solution architecture of DWH development by utilizing multiple relational database management systems (RDBMS) technologies. It would include – SQL Server, PostgreSQL, MySQL and more.
We have experience with NoSQL architecture DWH, like MongoDB, DynamoDB, Cassandra and more. Further, we’ve working knowledge & experience in implementing on-premises, multi-cloud & hybrid data warehousing solutions and data warehouse migration services.
We have served companies from start-ups to enterprises across industries like Travel & Hospitality, Retail, Fintech, Healthcare and more.
Data Warehouse Services We Offer
We support you through every step of your DWH design, implementation, or evolution project, from understanding your business needs & providing recommendations to maintaining your solution.
Data Warehouse Consulting
Data Warehouse Consulting
We offer advisory-level guidance across all phases of your data management projects. Our data warehouse consultants help you decide to upgrade, migrate, optimize and create a fresh DWH. Our team assesses your data sources & existing infrastructure. It is while offering you workload estimation & costing. We support you in meeting data integration, accessibility & migration requirements. Our team is a mix of data architects, analytics & admins who have hands-on knowledge about DWH platforms & required tech stack. They help you choose the right data platforms, databases & operational source systems.
- Needs analysis of your data management needs to design a DWH solution
- Existing IT infrastructure assessment to review and analyze the effectiveness of your technology systems
- Analysis of data sources to determine how to get data from each source into the appropriate Master Data Hub
Data Warehouse Migration
Data Warehouse Migration
Our migration services help you move your existing DWH to the cloud across different platforms & version upgrades with minimal business process disruption. We support you in migrating your legacy DWH solution to the cloud or building a hybrid data warehouse. The critical elements of our service comprise; 1) outlining your migration strategy & plan, 2) cloud DWH architecture design, 3) supporting you in selecting the right cloud vendor, 4) the right cloud cluster configuration, 5) re-development of DWH on a new platform 6) cloud & on-premises environment integration and more. We conduct an accuracy assessment to transfer your data & metadata to a newer data warehouse while keeping the business logic intact.
- Opting for the right Cloud platform or tech stack based on the technologies utilized in your existing DWH
- Migration approach selection between lift & shift or complete redesign on the new platform
- DWH performance control by monitoring data availability, data transformation correctness
DWH Design and Development
DWH Design and Development
Our team starts with requirement engineering and business case creation for DWH solution architecture development. We support end-to-end DWH implementation from design to build & testing to launch. We design ETL/ELT processes and conceptualize data models based on your business objectives. Further, we work with you to develop data integration strategies for multiple sources. It would include internal & third-party sources, new apps, services, and analytical & BI processes. We build your data governance policy by considering your data’s quality, security, availability, backup & recovery framework.
- DWH architecture approach selection between Top-down, Bottom-up, Hybrid, and Federated
- DWH deployment options like On-premise, Cloud, and Hybrid
- Data model types like Relational, Dimensional, and Entity-relationship
Data Warehouse Modernization
Data Warehouse Modernization
We modernize your existing DWH by re-architecting your on-premises & cloud data warehouse solution. It helps resolve potential modeling issues while improving the query’s response time. Further, we help re-engineer and modernize ETL processes, build an advanced data lake and migrate your Big Data to the cloud. Our team supports you with integrated analytics by powering your AI workloads at scale.
- Re-engineering & modernizing the ETL process to reimagine & integrate enterprise applications data with external systems
- Data lake development to store structured and unstructured data at any scale.
- Big data to Cloud migration to migrate analytics, data processing (ETL), and data science workloads
Data Warehouse Support
Data Warehouse Support
We help you identify & solve potential DWH performance issues. Our team enables stability for your DWH with timely & quality data flow for business users. We offer L2 – L4 level SLA Support for all types of issues. Our ticketing process comprises issue analysis & priority mapping as per agreements. We lower data latency and reduce processing & storage costs. We help optimize your solution architecture & DWH design by changing database schemas, data loading & more. We maintain data quality & availability while minimizing downtime. Our team carries out multiple performance tests & solves concurrency & related issues.
- Solution architecture optimization to make queries and updates run faster and maintain their performance
- DWH tools optimization for tuning query performance
- DWH design optimization by reducing the number of maintained databases in parallel that contains duplicated data
Tools & Technologies
DWH Services & Databases
Data Storage
Cloud Services
Data Integration
Big Data
Build a custom data warehouse that meets business needs & reporting expectations of end-users.
Case study
Cloud-Based Data Warehouse System
The North American client is a pioneer in F&B, Resort management & Rental Home segments. They were using a wide array of applications (PMS, POS, analytics, inventory and more) to manage business data because of multiple business acquisitions. They wanted to create a data warehouse as the single version of the truth to enable stakeholders to derive valuable insights as per their needs.
Testimonials
Whenever I have contacted the team for any issues or troubleshooting purposes, they were able to identify and rectify the problem on the same day! I found the Rishabh Software team to be very professional, effective, and easy to deal with, and I would certainly re-hire them for future projects.
We required a reliable technology partner to deliver quality services to our customers and that’s when we discovered Rishabh Software in 2005. We received extraordinary support from their team, for .Net development, BI solutions, and mobile app development and have reached outstanding service levels, resulting in a tremendous growth trajectory. I have already recommended Rishabh Software to quite a few people!
Why choose Rishabh for data warehouse consulting services?
We help you build custom data warehouse solutions or migrate/modernize an existing one. Our cloud data warehouse consulting helps you leverage the benefits of Azure & AWS platforms.
Cloud Specialists
We 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.
Multidisciplinary Data Warehousing Team
Our cloud data warehouse consulting team brings to the table their deep expertise in DWH modeling, data management, data governance, and BI consulting.
Full Suite of DWH Services
With an agile project delivery and development methodology, our comprehensive services include data profiling, data standardization, data acquisition, data transformation and more.
Compliance Certification
We are an ISO 9001 & ISO 27001 certified company to deliver top-quality data warehouse consulting services & data solutions.Have a Project in Mind?
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Frequently Asked Questions
How can my business benefit from a data warehouse?
Data that cannot provide business insights are useless. So, you need a data warehouse if your data cannot provide reliable information.
A data warehouse consolidates data from your multiple data sources & structures it. It then integrates data analytics & business intelligence tools to help you derive valuable business outcomes.
Here are some critical advantages of a data warehouse:
- A centralized repository that acts as a single source of truth for your business
- Ease in data management with accurate, complete, consistent & high-quality data availability
- Accurate & timely reporting on trends, performance, etc.
- Valuable insights into hidden patterns & trends to identify new business opportunities or solve issues
As a data warehouse company, we can help you leverage the benefits of a data warehouse. You might also be interested in reading the steps, approaches & use cases of data warehouse development.
How can I benefit from your data warehouse consulting services?
We have skilled & experienced data warehouse consultants who will discuss & understand your business needs & expectations. They include data architects, administrators, profilers, ETL developers, & BI consultants.
Our services will include the following:
- A preliminary assessment of your existing IT infrastructure, including applications, architectural design & technologies
- An initial analysis of all your data sources, data quality, data structures, data types, design types & data permissions
- An outline of high-level system requirements
- A broad scope for your data warehouse, including the desired features, technology integrations, upgrades, migration, etc.
- Recommendations on the most appropriate platform for your DWH, tech stack, design & approach
- Presentation of project scope, budget & timelines
Which data warehouse deployment options do you provide?
As a proficient data warehouse service provider, we provide three deployment options:
- On-premise- Any technology platform
- Cloud- On Microsoft Azure & Amazon Web Services (AWS) Cloud platforms
- Hybrid- A combination of both on-premise & cloud platforms