Tools and Technologies We Use

When moving applications to different environments, delivering from one device to another, from a PC to cloud center services, there is always a problem of reliable operation. We use proven technologies to keep applications running smoothly.

Cloud services

Amazon AWS, GCP, Microsoft Azure, and other…


Cloud providers are companies that offer cloud computing services to individuals and businesses. They provide virtual infrastructure, platforms, and software that can be accessed remotely over the internet.

Data visualization

Power BI, SQL Server, Tableau, and other…


Data visualization refers to the graphical representation of data and information to help people better understand and analyze complex data sets. It involves the use of charts, graphs, maps, and other visual tools to present information in a way that is easily digestible and meaningful.

Data Warehouse

Azure, postgresql, Teradata, and other…


Data warehouse tools and technologies are software systems designed to support the creation, maintenance, and management of data warehouses.

Data integration

Kafka, SQl Server, Oracle Data and other...


Data integration tools and technologies are used to extract data from various sources and integrate it into a unified system or data warehouse for analysis and decision-making purposes.

Cloud data storage

Azure Cosmos DB, Azure Blob, and other…


Cloud data storage refers to the storage of data on remote servers accessed over the internet. The data can be stored in various formats, such as files, images, videos, or databases.

Data Warehousing Services We Offer

Deriving the greatest value from data is the key to success, and this is precisely what Appinventiv delivers through its rich pool of services.

  • Assessment of Data Sources and existing Infrastructure
  • Data Integration, Accessibility & Migration Requirements
  • Data Warehouse Workload Estimation & Costing
  • DWH Platforms & Tech-stack - On premise, Cloud or Hybrid
  • Conceptualizing a Data Model based on business Objectives
  • Identification & Extraction from Data Sources (E)
  • Data Cleaning and Transformation to improve quality (T)
  • Loading the data into a centralized repository (L)
  • Diagnostics Report of the existing DWH Setup
  • Resolving Modeling issues to improve query response time
  • Enabling best practices for Master Data Management
  • Data Cube and Marts assessment
  • Assessment of Data Sources and existing Infrastructure
  • Data Integration, Accessibility & Migration Requirements
  • Data Warehouse Workload Estimation & Costing
  • DWH Platforms & Tech-stack - On premise, Cloud or Hybrid
  • Conceptualizing a Data Model based on business Objectives
  • Identification & Extraction from Data Sources (E)
  • Data Cleaning and Transformation to improve quality (T)
  • Loading the data into a centralized repository (L)
  • Diagnostics Report of the existing DWH Setup
  • Resolving Modelling issues to improve query response time
  • Enabling best practices for Master Data Management
  • Data Cube and Marts assessment

Our End-to-End Project Flow

At Cloudventure, we define the following process of data analysis to ensure the best possible approach to the development of sophisticated Data Warehouse that meet your business needs.
01

Consulting

We start by first understanding your business requirements. After a few discussions, our team explores your data, asks the required questions and sets goals for the project.

02

Evaluation & adjustments

After the raw modeling of data, our Data Scientists and Engineers continue to adjust and optimize the selected analytics model. The team analyzes all the metric values and model performance and ensures there is significant improvement in the overall accuracy.

03

Integration & deployment

The team deploys the model on a test server where it starts working with the real data and we are able to monitor results. If the model runs successfully on the test server, we deploy it in production.

04

Maintenance

Our services do not end at deployment. As our post-deployment services, we ensure that you get model runs successfully and you get constant technical support.

Why You Should Invest In Data Warehousing Solutions?

DWAAS is a best way for companies to go if they are facing issues like –

  • Not getting company-wide insights due to wide dispersion of data and data silos.

  • Limited budget which is not allowing you to go with DWH implementation.

  • Low DWH performance & poor data quality stopping you to capture opportunities.
Work For Any Industry

Best Solutions, For All Organizations

Software

Fintech

Healthcare

Data Mining

Machine learning

Medical

Entertainment

AI

Manufacturing

Logistics

Why Choose CloudVenture, Data Warehousing Services?

We have a team of experienced professionals who specialize in data warehousing and have a deep understanding of various data warehousing technologies and tools.

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CloudVenture Guarantee

Flexible, efficient scaling

Expand or reduce your remote team size on demand.


Team of 1000+ engineers

Access vetted experts in the tech stack of your choice.


Long-term predictability

CloudVenture, average engagement duration is 2 years.

Frequently answered questions (FAQs)

With a good Data Warehousing Strategy, you can efficiently and effectively mine data to have a competitive advantage. With data warehouse services you can store, filter, extract and analyze large collections of data from unlimited sources.
We conduct a detailed Discovery Workshop in the preliminary phases to assess all your data needs to give personalized optimal solutions. With our Expertise in Data Warehouse Services, we analyze your present and future needs to provide optimal solutions for your budget.
The benefits of Data warehousing in an organization are extensive. Data warehouses are generally chosen when the sources of data are large and the data is required for analysis rather than transactional purposes. With our detailed Discovery process, we can help you choose according to your requirements.



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