Headerbild zu Microsoft SQL Server

Analytical solutions with Microsoft SQL Server

Use the functions of Microsoft SQL Server to build an analytical solution. We will be happy to advise you.
Get in touch with us

What is Microsoft SQL Server?

Microsoft SQL Server is the central building block of a Microsoft-centric analytical platform, which is built on relational database technology at its core. 

In addition to special functions for analytical data processing within the RDBMS, these are:

  • SQL Server Integration Services (SSIS): data integration solution specifically tailored for use with SQL Server.
  • SQL Server Analysis Services (SSAS):
  • Supports the so-called "Tabular" and "Multidimensional" mode, i.e. modeling analytical data relationally/in tables or multidimensionally/in cubes
  • SQL Server Reporting Services (SSRS): the predecessor to PowerBI

Why should Microsoft SQL Server be used?

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. Extensions around Big Data, to the cloud and more are possible. 

A selection of our customer projects

We have already used Microsoft SQL Server in numerous customer projects.

We are here for you.

Development | Consulting | Support

The widespread use and performance of SQL Server prompted us to enter into a strategic partnership with Microsoft years ago. Numerous data warehouse projects testify to a successful partnership, now with Gold Partner status and numerous certifications.

We develop analytical solutions in which SQL Server is a central component. 

Marc Bastien
Software Architect TIMETOACT Software & Consulting GmbH
Contact
Get in touch with us

Features that distinguish the Microsoft SQL Server:

Optimized for speed, scalability and real-time analytics:

  • Clustered Columstore Indices
  • Disk-based and memory-optimized tables
  • In-memory OLTP processing
  • Intelligent Query Processing
  • Automatic Tuning

Funktionen rund um Enterprise Security:

  • Datenentdeckung und Klassifizierung
  • Dynamische Datenmaskierung
  • Sicherheit auf Zeilenebene

More:

  • High Availability
  • Hybrid Cloud: Integration on-premises and Cloud (Azure)
  • Deployment under Kubernetes
  • Data virtualization (Polybase)
  • Machine learning framework
Headerbild zu Microsoft Azure
Technologie

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.
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.
Logo Microsoft
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.
Headerbild zu IBM DataStage
Technologie

IBM InfoSphere Information Server

IBM Information Server is a central platform for enterprise-wide information integration. With IBM Information Server, business information can be extracted, consolidated and merged from a wide variety of sources.
Navigationsbild zu Business Intelligence
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.
Headerbild zu Data Governance Consulting
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.

Headerbild IBM Cloud Pak for Data
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.
Headerbild zu IBM Netezza Performance Server
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.

Headerbild zu Microsoft Power BI
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.

Headerbild zu Talend Data Fabric
Technologie

Talend Data Fabric

The ultimate solution for your data needs – Talend Data Fabric includes everything your (Data Integration) heart desires and serves all integration needs relating to applications, systems and data.
Headerbild zu IBM Cognos Analytics 11
Technologie

IBM Cognos Analytics 11

IBM Cognos Analytics is a central platform for the provision of dispositive information in the company. With the reporting and analysis functions of IBM Cognos, the relevant information can be prepared and used throughout the company.
Leistung 4/27/23

Apigee: The API Management Platform | Google Cloud

API management means that businesses can better manage their interfaces through which data and services can be accessed. There are specific tools available to help make APIs secure and efficient.
Headerbild für IBM SPSS
Technologie

IBM SPSS Modeler

IBM SPSS Modeler is a tool that can be used to model and execute tasks, for example in the field of Data Science and Data Mining, via a graphical user interface.
Headerbild zu IBM Watson Assistant
Technologie

IBM Watson Assistant

Watson Assistant identifies intention in requests that can be received via multiple channels. Watson Assistant is trained based on real-live requests and can understand the context and intent of the query based on the acting AI. Extensive search queries are routed to Watson Discovery and seamlessly embedded into the search result.
Headerbild zu Talend Real-Time Big Data Platform
Technologie

Talend Real-Time Big Data Platform

Talend Big Data Platform simplifies complex integrations so you can successfully use Big Data with Apache Spark, Databricks, AWS, IBM Watson, Microsoft Azure, Snowflake, Google Cloud Platform and NoSQL.
Headerbild zu Operationalisierung von Data Science (MLOps)
Service

Operationalization of Data Science (MLOps)

Data and Artificial Intelligence (AI) can support almost any business process based on facts. Many companies are in the phase of professional assessment of the algorithms and technical testing of the respective technologies.

Blog 5/16/24

Common Mistakes in the Development of AI Assistants

We share how failures when implementing AI occurr and what can be learned from them for future projects: So that AI assistants can be implemented more successfully in the future!
Blog 11/10/23

Part 1: Data Analysis with ChatGPT

In this new blog series we will give you an overview of how to analyze and visualize data, create code manually and how to make ChatGPT work effectively. Part 1 deals with the following: In the data-driven era, businesses and organizations are constantly seeking ways to extract meaningful insights from their data. One powerful tool that can facilitate this process is ChatGPT, a state-of-the-art natural language processing model developed by OpenAI. In Part 1 pf this blog, we'll explore the proper usage of data analysis with ChatGPT and how it can help you make the most of your data.
Data Science & Advanced Analytics
Kompetenz 9/3/20

Data Science, AI & Advanced Analytics

Data Science & Advanced Analytics includes a wide range of tools that can examine business processes, help drive change and improvement.
Lösung 9/21/22

IT-Service-Management (ITSM)

IT Service-Management (ITSM) can be used to improve (business) processes in terms of customer and service orientation.

Bleiben Sie mit dem TIMETOACT GROUP Newsletter auf dem Laufenden!