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Into the cloud with Microsoft Azure

Run your analytical solutions in the cloud. We will be happy to advise you.

What is Microsoft Azure?

Azure is the cloud offering from Microsoft.

Numerous services are provided in Azure, not only for analytical requirements. Particularly worth mentioning from an analytical perspective are services for data storage (relational, NoSQL and in-memory / with Microsoft or OpenSource technology), Azure Data Factory for data integration, numerous services including AI and, of course, services for BI, such as Power BI or Analysis Services.

Why should Microsoft Azure be used?

In Azure, Microsoft provides all the services needed to implement a complete analytic solution, including pre-built integration and architecture proposals. Solutions can be developed, scaled and operated in a short time thanks to the cloud approach. 

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No matter which deployment, we also put together the right services for our customers in the cloud, implement data integration, analytical data models from data warehouse and data lake to data mart and provide visually appealing dashboards with Power BI.

Our experts are certified Microsoft consultants and have been able to contribute their knowledge to the success of numerous projects over the last 15 years. In particular, we are characterised by our ability to find creative solutions and, if necessary, to think "out-of-the-box". Each of our consultants has at least two professional and technical "pillars" and a broad overview of different solutions.

Marc Bastien
Software Architect TIMETOACT Software & Consulting GmbH

Core functions of Microsoft Azure

Every platform for data warehousing, business intelligence or AI has certain core functions that are also part of the Microsoft Azure Cloud:

  • Data Lake / Data Warehouse: 
    Microsoft offers various technologies for data storage. Azure Databricks or Azure Data Lake Storage V2 can be used to build a data lake. The exact requirement determines the selection of the right technology. Azure also offers various technologies for setting up a data warehouse: either the Azure SQL database, the cloud counterpart to the Microsoft SQL Server in SMP (symmetric multiprocessing) or Azure Synapse Analytics (formerly Azure Data Warehouse) in MPP (massively parallel processing).
  • Data Integration:
    The Azure Data Factory is the central service for the development of data integration, i.e. it has extensive functions for connecting data sources, linking them together and transforming data. The goal is to build the central data warehouse in MS Azure.

Often, special technologies are used separately for the provision of an analytical database as a so-called "OLAP solution" (Online Analytical Processing); Microsoft offers Azure Analysis Services (analogous to MSAS on-premises) for this purpose.

Power BI is the main tool available for analysis and reporting. Power BI is a suite with various tools for the provision of reports, dashboards or ad-hoc analysis. Furthermore, Jupyter, Zeppelin or Microsoft Azure notebooks can be used.

Technologie

Microsoft Azure Synapse Analytics

With Synapse, Microsoft has provided a platform for all aspects of analytics in the Azure Cloud. Within the platform, Synapse includes services for data integration, data storage of any size and big data analytics. Together with existing architecture templates, a solution for every analytical use case is created in a short time.

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Technologie

IBM Cloud Pak for Data

The Cloud Pak for Data acts as a central, modular platform for analytical use cases. It integrates functions for the physical and virtual integration of data into a central data pool - a data lake or a data warehouse, a comprehensive data catalogue and numerous possibilities for (AI) analysis up to the operational use of the same.

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Technologie

Microsoft SQL Server

SQL Server 2019 offers companies recognized good and extensive functions for building an analytical solution. Both data integration, storage, analysis and reporting can be realized, and through the tight integration of PowerBI, extensive visualizations can be created and data can be given to consumers.

Kompetenz

Artificial Intelligence & Data Strategy

Every company collects and manages vast amounts of data, e.g. from production processes or business transactions.

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Managed Services

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Enterprise Content Management (ECM) & Archiving

With Enterprise Content Management (ECM), all data, information and documents are stored, archived and managed in a context-related manner on a single platform. ECM systems offer numerous advantages for managing the increasing number of (un)structured electronic documents and data.

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Enterprise Content Management (ECM) & Archiving

With Enterprise Content Management (ECM), all data, information and documents are stored, archived and managed in a context-related manner on a single platform. ECM systems offer numerous advantages for managing the increasing number of (un)structured electronic documents and data.

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Workspace Security Assessment

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Data Governance

Data Governance describes all processes that aim to ensure the traceability, quality and protection of data. The need for documentation and traceability increases exponentially as more and more data from different sources is used for decision-making and as a result of the technical possibilities of integration in Data Warehouses or Data Lakes.

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Teamworkx Issue Picker for Jira

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Service

Managed Services & Support

Our Managed Services ensure that applications are operated for you with a holistic understanding of infrastructure, licenses, support, applications and the corresponding expertise. This is done regardless of whether the application is to be operated at a hyperscale such as IBM Cloud, Google, AWS, Azure or onPrem.

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Technologie

IBM Cloud Pak for Data Accelerator

For a quick start in certain use cases, specifically for certain business areas or industries, IBM offers so-called accelerators based on the "Cloud Pak for Data" solution,

Easy Cloud Solution
Produkt

Big Data

Extract valuable information from data - Take advantage of serverless, integrated end-to-end data analytics services to leave traditional limitations behind.

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How to gather data from Miro

Learn how to gather data from Miro boards with this step-by-step guide. Streamline your data collection for deeper insights.

Training

Jira Administration Part 1 (Data Center)

Over the course of the training "Jira Administration Part 1 (Data Center)" participants learn the most important steps for setting up a Jira instance (Jira Core, Jira Software or Jira Service Management).

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Business Intelligence

Business Intelligence (BI) is a technology-driven process for analyzing data and presenting usable information. On this basis, sound decisions can be made.

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Service

Business Intelligence

Business Intelligence (BI) is a technology-driven process for analyzing data and presenting usable information. On this basis, sound decisions can be made.

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Technologie

IBM Cloud Pak for Data System

With the Cloud Pak for Data System (CP4DS), IBM provides the optimal hardware for the use of all Cloud Pak for Data functions industry-wide and thus continues the series of ready-configured systems ("Appliance" or "Hyperconverged System").

App 8/9/22

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Whether project documentation, knowledge management or quality manual - with the "Teamwork Issue Publisher for Jira", Confluence pages can be automatically published and updated from Jira.

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The "Beautiful five" and the Power of "One-Number" Reporting

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