Move to a Cloud Data
We make it easy for you to migrate existing Data Warehouse or build new Data Warehouse on Cloud along with ETL processes. We will seamlessly integrate all your data, ensure it’s always business-ready, and deliver actionable insights by leveraging data visualization for the Enterprise self-service BI needs.
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CloudMoyo can help you move your business-critical applications to a cloud data warehouse architecture. We can assist you in developing and executing a cloud migration ETL strategy that optimizes your applications for the cloud platform. Our experience will help you seamlessly migrate your applications, computing and storage operations to the cloud data architecture so you may harness the power of data visualization and make informed business decisions.
Here is why you should choose us:
Top Domain Expertise – Excellent track record and rich experience in data engineering and cloud technology stack
Immediate Productivity – Proven partnership enabling no ramp-up time, no transition cost and no disruption
High velocity value to data engineering team – Gains in efficiencies, faster rollouts and elastic scale model
Standardized Processes – Ability to ensure standardization of customer experience to a higher degree
Business Data Visualization – Self Service BI capability and Real time access to the information
Security & Compliance - Ensuring compliance with increasing regulatory needs
ISO 27001:2013 certified company
Microsoft Gold Certified Partner
24x7 365 days quality support
Leverage our established expertise in cloud migration with the Microsoft Azure platform. Our blueprints, solutions, and automation expertise will quickly move you to the cloud and achieve better results.
Our ability to provide the right people for your company’s specific cloud migration projects means getting to the cloud without disruption to your current operations while ensuring compliance and governance.
Change Management Expertise
Maximize your cloud investment long-term engagement, as well as a dedicated support system that will provide smooth, predictable upgrades and on-going training sessions.
CloudMoyo Data Warehouse Modernization offerings
CloudMoyo team has migrated critical workloads to, from and within public, private and hybrid cloud data warehouse environments — so we’ve seen your use case before.
We can provide the support you need for your cloud migration and when you need it. From assessments of your data warehousing readiness and migration planning to execute your data warehouse migration, to leveraging and managing your new cloud solutions. We help in modernizing and transforming your ETL process by easily identifying, analyzing, and offloading your enterprise data to Azure SQL Data Warehouse.
CloudMoyo can align IT to your business objectives with agile, scalable and analytics-enabled cloud data warehouse solutions. We offer a complete set of services for implementation of the data warehouse including data prep, data ingest, data lake storage for cloud migration, analytics, and powerful data visualization.
Assessment & workshop
- Evaluate your current state for EDW, and BI environment
- Assess your business requirements
- Identify the computation power and storage capacity of the existing EDW
- Provide a roadmap for migrating into a modern data platform
- Analysis of existing data sources, KPIs and processes
- Risk management
Planning & strategies
- Review and document existing data sources
- Plan and strategize logical design of data warehouse and ETL architecture
- Gap analysis
Implementation & migration (POC included)
- Designing of database and schemas
- Planning and execution of Automated, manual ETL routines
- Migrating of historical data into the data warehouse
- Data profiling and testing, including User Acceptance Testing (UAT)
- Implement a self-managed elasticity system to upscale or downscale DW resources
Change management & support
- Support provided per SLA request on all types of issues
- Analysis of issue, urgency assigned and fixed per SLA agreement
- Support and fault elimination
- Complete Data warehouse management
Advanced Analytics & BI
- Successfully using data to improve business processes
- Uncover trends and insights
- BI reporting solution by offering a critical decision support system
- Data Mining, statistical and predictive analysis
- Reporting and BI
- Limitless analytics with Azure Synapse
- With Azure Synapse, perform real-time analytics in data
When it comes to cloud computing, IT organizations that want to optimize, streamline and transform their data trust CloudMoyo to help them migrate from on-premise to cloud. CloudMoyo partners with your business and IT leadership to define your objectives. Then, combine on-site and remote support over a global delivery network to seamlessly migrate your data to cloud and maximize efficiency. Thus facilitating your journey to cloud and freeing you to focus on your mission.
Migrate data to modern Data Warehouse
Adopt operational best practices and modern solution design
In- database advanced analytics services
Make better and informed decision, create and deploy data visualization analytics services in no time, create a single source of truth and access your data securely from anytime, anywhere
On-Prem and Cloud Big Data Warehousing solutions
Experience unparalleled performance and scalability by reducing data warehousing complexity and leveraging data lakes
Data Warehouse workload migration
Easily migrate data warehouse workload to Microsoft Azure SQL Data Warehouse. Increase the speed of SQL processing, reduce the risk with automated QA checks
Ensure qualitative data with data quality services
Build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data
Master Data Management
Improve data quality, while streamlining data sharing across personnel and departments with powerful data visualization
Ensure validity and integrity of organizational data, reduce redundant data, and take integrated approach to data management
Data warehouse modernization helps in
Improving data warehouse performance and reduce data latency
Streamlining the entire ETL process from process to ingesting, reporting and analyzing data
Adopting and integrating new data sources quickly and cost effectively
Utilizing big data capabilities in real-time that are built for enterprise data lakes
Building single source of truth for both operations and analytics
Developing a sustainable environment for the next generation data visualization, reporting, and analytics
CloudMoyo has delivered Intuitive Dashboard designs along with that self-service capability to analyze the data.
CloudMoyo has yet again proven its expertise in analytics that significantly contributes to the safety and reliability of our railways.
I wanted to pass along my congratulations to CloudMoyo on a job well done on this project. The results are absolutely astonishing!!
Engineering giant unlocked insights through modern cloud data platform using Azure SQL data warehouse and Azure Data Lake. We built a short and long term analytic strategy as per the business needs, developed data visualization for all line of business, a cutting-edge ETL design using Azure Data Factory V2 and Snowflake, consolidated multiple cubes for implementing EDW on Snowflake, and developed improved and intuitive dashboard design
CloudMoyo delivered future-proof, a robust and scalable ETL for back-end load processes, data visualization for deeper insights, and economically viable data architecture for an AEC firm and improved their data analytical capabilities with Snowflake data warehouse. It allows expansion and growth with minimal maintenance
CloudMoyo improved rail safety for a Class I railroad enables forecast of Hot Box Detector failures using predictive analytics. As a part of the solution, CloudMoyo enabled consumption of streaming data from wayside equipment by ingesting large volumes of data from the hot box detector into an Azure Data Lake. An EDW was created with proper data validation and data governance process was set up. Thus, future proofing solution in terms of scalability, reliability by using the Azure Data Platform
Data modernization assessment – deliverables
Executive report and presentation with assessment findings
A roadmap to achieve future BI state
Mappings of as-is business processes, dependence models, strategic rational models
Highlights for implementation, measurement system, and data visualization requirements
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