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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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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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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 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.

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We are your partner around Snowflake

With the Snowflake Data Cloud, you manage your data centrally in one place. We are happy to support and advise you on Snowflake.

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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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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").

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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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Consulting and solutions for AWS services

As a leading AWS Select Partner, we are at your side with help and advice. From strategy development to migration and optimization - with the extensive suite of AWS services, we will work with you to find the perfect solution for your requirements.

Referenz 10/29/21

Standardized data management creates basis for reporting

TIMETOACT implements a higher-level data model in a data warehouse for TRUMPF Photonic Components and provides the necessary data integration connection with Talend. With this standardized data management, TRUMPF will receive reports based on reliable data in the future and can also transfer the model to other departments.

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Technologie

IBM Netezza Performance Server

IBM offers Database technology for specific purposes in the form of appliance solutions. In the Data Warehouse environment, the Netezza technology, later marketed under the name "IBM PureData for Analytics", is particularly well known.

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Technologie

Decision Optimization

Mathematical algorithms enable fast and efficient improvement of partially contradictory specifications. As an integral part of the IBM Data Science platform "Cloud Pak for Data" or "IBM Watson Studio", decision optimisation has been decisively expanded and embedded in the Data Science process.

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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,

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Technologie

IBM Db2

The IBM Db2database has been established on the market for many years as the leading data warehouse database in addition to its classic use in operations.

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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

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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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.

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Consulting for IBM products

IBM Software & Consulting with passion and experience – you can rely on us. Services relating to IBM Software Solutions have always been an integral part of our offer.