Data Warehouse Services: Consulting and Development

Data warehouse services - ScienceSoft

Data warehouse (DWH) services help companies implement, improve or migrate their DWH solution to consolidate disparate data sources under one roof and enhance their decision-making.

Since 2005, ScienceSoft has been rendering a full range of data warehousing services, including consulting, development, migration, and support to help companies benefit from a high-performing data warehouse.

Have a data warehouse project in mind but not sure where to start?
Drop us a line, and we’ll come up with the suggestions as to how to make your project a success.

Why ScienceSoft?

Our data analytics achievements - ScienceSoft

  • With 31 years of experience in data analytics, we know both business intelligence and big data domains. We are equally able to build a standalone data warehouse and make it a part of a big data solution’s complex architecture.
  • As a provider of data management services, we understand the importance of having high-quality and integrated data and know how to achieve it.
  • We are a Microsoft Gold Partner, Oracle Silver Partner and an AWS Select Consulting Partner.

Data Warehouse Services by ScienceSoft

Data Warehouse as a Service (DWaaS)

If you require flexible and secure storage to consolidate disparate data sources with no DWH implementation and administration burden, we offer DWaaS on a subscription fee basis. To rent you out a data warehouse that fits into your analytics infrastructure, we conduct:

  • Data warehouse configuration and development.
  • DWH integration.
  • Data migration and data cleaning.
  • Continuous support and administration.
  • On-demand DWH configurations.
Data warehouse migration

Consider replatforming your on-premises data warehouse to the cloud? Whatever strategy suits your case: moving all data or having a hybrid data warehouse where, say, sensitive data remains on premises and the rest of the data is to be moved to the cloud, we can help you with:

  • Designing a migration strategy and a plan.
  • Assisting in selecting the right cloud vendor.
  • Configuring the cloud cluster in a way to optimize costs.
  • Redeveloping a data warehouse on a new platform.
  • Transferring both master data and metadata to the new data warehouse.
  • Testing the completeness of data to ensure the migration’s success.
Data warehouse consulting

Consider building a new data warehouse from scratch, revamping or improving your legacy solution as it doesn’t satisfy your needs anymore?

Here’s how our consultants can help:

  • Come up with a new data warehouse design. Make sure that the design is fully compliant to your business needs by conducting interviews with the stakeholders, thoroughly analyzing the existing infrastructure, the available and future data sources, the types of data to be stored and analyzed (structured or unstructured) and more.
  • Recommend one of the alternatives: a cloud, on-premises or hybrid data warehouse.
  • Design data integration strategy.
  • Advise on data quality procedures.
  • Recommend the optimal technology stack.
Data warehouse development

We do data modeling and implement a data warehouse or the whole solution consisting of a data lake, a data warehouse, ETL (extract, transform, load) processes, and online analytical processing cubes. To meet the project requirements, timeframes and budget, we apply the most relevant of software development life cycle models like Iterative, Incremental, Scrum, Extreme Programming, Kanban, Waterfall.

Data warehouse support

Our support activities are aimed to ensure that your data warehouse remains the foundation for valuable insights (i.e., ETL processes are running correctly, data quality management is in place, new KPIs are calculated).

For that, we do the following:

  • Provide data administration services: create rules to ensure that the data is clean and accurate, add new data sources and load new data, adjust ETL processes.
  • Monitor the performance and capacity of your data warehouse – query running times, the correctness of data transformations or a data backup.
  • Resolve the identified issues.

TECHNOLOGY STACK

Data warehouse technologies

Microsoft SQL Server
Azure Synapse Analytics
Azure Cosmos DB
Azure Data Lake
Amazon Redshift
MySQL
Amazon DynamoDB
Vertica
Amazon Aurora
Oracle
Snowflake
Teradata
Google BigQuery
MongoDB
SAP IQ
PostgreSQL
Amazon Simple Storage Service (Amazon S3)
Amazon Relational Database Service

Cloud services

See Us in Action
Have any questions about data warehousing? Reach out to our consultants, outline your challenge and we’ll come up with the solution.
SELECTED PROJECTS