Enterprise Data warehouse plays a crucial part in an organization’s data infrastructure by acting as a resource base for storing data in one single place. An array of data systems regularly shares and store their data in EDW at regular intervals. Therefore, an EDW is an essential Data infrastructure an organization cannot overlook for its growth. Scalable Systems help organizations to conceptualize, design & build the enterprise data warehouse (EDW) to act as a central repository of integrated data from one or more disparate source systems.

Enterprise Data Warehouse Frameworks

Building a successful analytics operation requires a properly configured data warehouse system as a source of Data. Data Engineers will be able to extract huge volumes of data on a real-time basis with this system and challenge it to the required departments when required. On the contrary, an inadequately configured data warehouse can be a source of endless problems such as frequent maintenance, cost overrun, etc. and thus potentially putting your organization at a competitive disadvantage.

We at Scalable Systems have identified enterprise-level best practices that can be leveraged to provide an end to end fully configured data warehouse systems. Our Frameworks provide clear visibility on where and how to define connections between Data source systems and EDW, which can enable real-time data processing without issues.

Why Cloud-Based Data Warehouse System?

Data is the backbone of an organization in this data-driven world, and limitation of data handling should not impede organizations from achieving their target goal. CIO should focus on building their Data infrastructure, which can be scalable, changeable, and manageable for decades to come. Unfortunately, on-premise data warehouse fails in these parameters and cannot be considered as a build-to-last solution for the data needs of an organization.
Cloud provides flexibility in scaling the infrastructure as and when required. Besides, there are several benefits associated with Cloud-based data warehousing systems, which organizations can harness to build their lasting solution for data needs. Some of them are highlighted below.

  • On Demand Infrastructure

Cloud provides provision for providing infrastructure needs based on requirements such as computing facilities, storage, network and security. On-demand infrastructure serves sensitive and business-critical applications, thus providing the appropriate resilience as and when required.

  • Elasticity Driven Scalability

Elasticity is the ability to maximize or minimize infrastructure resources dynamically as needed to adapt to workload changes, thus fully utilizing the resources. Whereas Scalability includes the ability to increase workload size within existing infrastructure without having an impact on performance. Cloud Data Warehouse can harness the benefit by being both elastic and scalable at the same time based on business needs.

  • Security

Cloud providers ensure the physical security of the infrastructure and data against various threats, in addition to this cloud data warehouse solutions are enabled with multi-factor authentication and protection from online attacks. They also ensure the solution adheres to security certifications and encryptions.

  • Accessibility

Cloud ensures easy access to your data across the globe. Whether you are setting up a new facility or expanding to new geographic zone, cloud-based data warehousing solutions can enable data access to all the stakeholders and ensure faster growth and expansion of your company.

  • Resource Pooling

With economies of scale in practice, the cloud providers can easily transfer the benefits to their customer in terms of cost and efficiencies. Thus, reducing the total cost of ownership for the customers in terms of infrastructure, operation and maintenance cost.

  • Handling Big Data

Cloud-based Data Warehouse solution is built to handle big data and can enable data pipeline to the core application services for the companies. This includes acting as data storage for streams of data from e-commerce platforms and act as a data source for machine learning models that consumes big data.

Why Implementing Cloud-based Data warehouse solutions fails and How Scalable Systems can address the issue.

A Data Warehouse is a central source of corporate data which are extracted from various business support systems and external data sources. The main objective of a data warehouse is to act as a dedicated platform to support business initiatives and strategic decisions that are driven by data.
Cloud-based Data warehouse solutions have their own challenges and may face a roadblock in a successful implementation if we fail to address them.

Cloud Security and Governance

Customers have apprehensions on placing their business data in the cloud due to the risk of losing the market position if the security is compromised. Watertight security features provided by cloud players fails to convince them from deciding to migrate their data to the cloud. Security failures happen due to poorly configured security policies, weak encryption rules, and lack of robust standard operating procedures for the customers to follow.
We at scalable systems understand these security challenges faced by the customers and we have built our expertise in handling them. Our robust cloud-based Data warehouse security framework is developed by our experts which can pinpoint the loopholes and prevent them in the first place. In addition to leveraging the inbuilt security framework that comes with the cloud-based EDW products, we incorporate our methodology which takes into consideration the following aspects

  • External Connections and Interfaces
  • Data Storage Mechanism
  • Access Control
  • Infrastructure monitoring

In addition to this, we have created robust anomaly detection models using machine learning, which can detect the security threat in real time and notify the stakeholders to make corrective actions.

Data Migration

Migrating vast amount of data to the cloud is a strategic decision for the customers, as it brings in a significant change in the way they will be operating their business processes as part of their Digital transformation journey. Data migration to the cloud involves extensive planning, resource support, and unexpected downtime due to unforeseen issues.

Without a proper migration strategy in place, this crucial step is bound to fail or may cause cost overrun.
Customers should also align with service providers to have an adequate data migration strategy and identify a dedicated resource base to support data migration to Cloud Data Warehouse.

The plan should also consider all the interdependencies to guarantee performance, availability, and security in the cloud. Besides, adequate service management skill is vital to ensure proper configuration and change management.

Scalable Systems have extensive experience in handling data migration projects, and we have worked along with our customers on creating strategies that can guarantee a successful implementation of these projects within the defined timeframe. We understand the complexities involved while migrating data from support systems and how customer face difficulties in each phase.

Lack of Standardization

Since Cloud Data warehouse technology and services are evolving, we could find significant variations in the solutions and services offered by the vendors. Variations include different cost models, product and operations support, technology such as serverless approach or resource provisioning. Customers find it difficult to identify and select a correct option which can provide them with Maximum benefit.

We offer support to the customer on product benchmarking and end to end consulting in choosing the correct solutions based on their requirement. Our Framework focus on enhancing customer value realization with reduced cost.