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Databases, data warehouse & data lake: a guide to the move to the cloud

Technical contribution

May 12, 2024

Cloud-based databases, data warehouses and data lakes are becoming increasingly important these days. They offer companies an efficient way to store, manage and analyze data. But why should companies take this step and switch from conventional on-premise systems to the cloud? In this article, we would like to give you an overview and make the transition to the cloud easier.

What defines a cloud database?

A cloud database is created, provided and used in a private, public or hybrid cloud environment. In contrast to local systems, provision does not take place on site. The database can be offered as Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS) or on-premises.

Data warehouse, database & co.: Why migrate to the cloud?

Scalability
Increased performance
Improved analysis options
Elimination of physical infrastructure
Simple disaster recovery
Cost efficiency

Different models of cloud computing:

Public cloud: Provided via the public Internet and shared by several companies.
Private cloud: Exclusively assigned to a single user company, not accessible to the general public.
Hybrid cloud: Combination of private and public cloud.

Differences between IaaS, PaaS, SaaS and on-premises:

IaaS: Provision of IT resources such as storage space and networking by the service provider.
PaaS: Platform for the development of applications via the Internet.
SaaS: Software runs on the provider's infrastructure, no administration on the part of the customer.

Market leader in cloud infrastructure services:

The main players are Microsoft Azure, Amazon Web Services (AWS) and Google Cloud. These providers offer various services such as relational cloud databases with different SQL dialects such as MySQL or PostgreSQL.

The use of cloud databases, data warehouses and data lakes offers many advantages, including cost optimization, high data availability, improved security and automatic scaling. Companies can react flexibly to their data requirements and ensure that their data is protected thanks to improved security measures.

The importance of a holistic data strategy

The use of cloud databases, data warehouses, data lakes and other technologies is only part of a company's data management strategy. In order to exploit the full potential of data and optimize business decisions, it is crucial to develop and implement a comprehensive data strategy. Implementing a holistic data strategy enables companies to make informed decisions, gain competitive advantage and drive innovation. A well-thought-out data strategy forms the foundation for the successful use of cloud technologies and contributes significantly to a company's long-term competitiveness. Do you want to put your existing architecture to the test? With our independent Data Strategy Assessment, we provide you with a customized roadmap to the optimal data architecture.

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technical contribution

Back to overview

Databases, data warehouse & data lake: a guide to the move to the cloud

What defines a cloud database?

Data warehouse, database & co.: Why migrate to the cloud?

Different models of cloud computing:

Differences between IaaS, PaaS, SaaS and on-premises:

Market leader in cloud infrastructure services:

The importance of a holistic data strategy

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Data Strategy Assessment

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