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Data Warehouse Automation

This group is devoted to discussions around Business Intelligence and Data Warehousing, but in particular, Data Warehouse Automation tools.

Abhi Salunkhe Data Warehouse as a Service Market to 2027 - Global Analysis and Forecasts by Deployment Model (Public Cloud, Private Cloud, and Hybrid Cloud); Usage Type (Reporting, Analytics, and Data Mining)
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Data warehouse as a service (DWaaS) helps the organizations to streamline the cost-intensive administration, management, and tuning activities. Further, as the organizations witness rapid growth of the data volumes, the rising need to integrate data (structured/unstructured) increases. DWaaS is the cost-effective and convenient option for the organizations. In addition, the cloud-based data warehouse enables the deployment of a separate analytical capability for the organizations, easily and quickly. The rapid growth of data volumes in several industry verticals is prominently driving the market for data warehouse as a service. Further, rise in the adoption of private cloud is supplementing the demand for DWaaS. However, factors including concerns regarding data security and lack of skilled workforce is impeding the growth of the data warehouse as a service market. Growth in the demand from small & medium enterprises is anticipated to create growth opportunities for the market.
The key players influencing the Data Warehouse as a Service market are Amazon Web Services, IBM Corporation, Oracle Corporation, SAP SE, Google Inc., Microsoft Corporation, Cloudera, Teradata Corporation, Micro Focus, and Hortonworks among others.
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About the group: Data Warehouse Automation

  • Founded: 03/05/2014
  • Members: 40
  • Visibility: open
  • Posts: 35
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