Data Management

Data management is the practice of collecting, organizing, and accessing data to support productivity, efficiency, and decision-making.

The goal of data management is to help people, organizations, and connected things optimize the use of data within the bounds of policy and regulation so that they can make decisions and take actions that maximize the benefit to the organization.

Our services include Business Applications, Integrations, Data Analytics, AI/Machine Learning & Cloud Computing. We Are Here To Help You Through. Call Us Now!

Cloud Data Platforms and Engineering:

A cloud data platform facilitates the migration of an organization's data ecosystem and enterprise data to the cloud and away from traditional on-premises data centers or warehouses. For some organizations, cloud data solutions can take the form of multi-cloud environments.

  • Azure Synapse Analytics:

    Azure Synapse Analytics is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems.We have specialized certified cloud data architects and engineers that deal with Microsoft Azure in the areas of Azure Synapse, Azure Databricks, Azure SQL DB, Azure DevOps Services.

  • Databricks:

    Databricks is used for building, testing, and deploying machine learning and analytics applications to help achieve better business outcomes. We have specialized Databricks experts in Data Lakehouse Platform and tool set.

  • Snowflake:

    Snowflake enables data storage, processing, and analytic solutions that are faster, easier to use, and far more flexible than traditional offerings. We have certified specialists in Snowflake Data Cloud.

  • Google BigQuery:

    BigQuery is a serverless, cost-effective and multi-cloud data warehouse designed to help you turn big data into valuable business insights. We have specialized certified cloud data architects and engineers that deal with BigQuery, Dataflow, Cloud SQL.

  • AWS:

    Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale. We have experts and engineers that work with Redshift, Glue, Kensis, Aurora, RDS.

Master data management (MDM):

MDM unifies any amount of data–from customer information to product specs to supplier details and beyond– into a single, actionable “version of the truth”. MDM combines real-time data, applications, and process integration with embedded data quality and stewardship. When companies merge, the implementation of MDM can minimize confusion and optimize the efficiency of the larger organization. We specialize in roadmap for MDM, POC, best practices, implementation of MDM on platforms like Informatica, Tibco EBX.

Enterprise Data Catalog:

EDC provides data lineage across data silos into a single, actionable productivity tool. It is a Google for data in your organization. Additionally, the EDC collects social responses from user data and endorses the authenticity of the data. It also leaves legacy of data curators across the organization who have been working on the data sets for years together. It is a must have tool to enhance the productivity of Data Scientists, Data Analysts, DBA’s, Data Architects, and your Tech Teams. We offer services like roadmap for Data Catalog, POC and best practices for implementation on platforms like Collibra, Azure Purview.