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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

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.

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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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Service

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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Technologie Übersicht

Microsoft

Since the end of the 1990s, Microsoft has been increasingly involved with the topic of business intelligence and, with the Microsoft Business Intelligence platform (MS BI), offers a complex and fully comprehensive solution for all issues.

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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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Service

Data Science, Artificial Intelligence and Machine Learning

For some time, Data Science has been considered the supreme discipline in the recognition of valuable information in large amounts of data. It promises to extract hidden, valuable information from data of any structure.

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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").

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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Technologie

Microsoft Power BI

Power BI is the ideal complement to the Microsoft-centric analytic solution in the enterprise. As a standalone version "Power BI Desktop" it is free of charge. With Power BI, companies create quick, comprehensive and meaningful visual analyses.

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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Technologie 6/29/20

Microsoft

We are Microsoft Gold Partner for Collaboration and Content. ▶ We combine the strengths and competencies of Microsoft and its partners. ✓

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Service

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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Technologie

Talend Data Integration

Talend Data Integration offers a highly scalable architecture for almost any application and any data source - with well over 900 connectors from cloud solutions like Salesforce to classic on-premises systems.

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Service

Big Data, Data Lake & Data Warehousing

For the optimal solution – with special consideration of the business requirements – we combine different functionalities.

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Technologie Übersicht

Talend

Lay the foundation with Talend, coupled with the expertise of certified data experts from TIMETOACT. Take advantage of the diverse and long-standing experience to identify the methods, architectures and software components that are right for you.

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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.

Service 9/12/22

Managed Services

From analysis to access time - Managed Services from catworkx for your Atlassian infrastructure from A to Z

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Service

Data Integration, ETL and Data Virtualization

While the term "ETL" (Extract - Transform - Load / or ELT) usually described the classic batch-driven process, today the term "Data Integration" extends to all methods of integration: whether batch, real-time, inside or outside a database, or between any systems.

Blog 10/31/23

5 Inconvenient Questions when hiring an AI company

This article discusses five questions you should ask when buying an AI. These questions are inconvenient for providers of AI products, but they are necessary to ensure that you are getting the best product for your needs. The article also discusses the importance of testing the AI system on your own data to see how it performs.

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