Microsoft Azure Data & Analytics
Next Level Cloud Analytics
You already have an SAP analytics landscape in place and would now like to really get to grips with big data, data lakes and AI? Then Microsoft’s Azure Cloud, with its many analytics and AI applications, is probably also on your radar. We can show you how to combine your SAP environment with the benefits of the Azure Cloud and accompany you on your journey into the future.
From data to insights: The journey with Microsoft Azure Analytics
Microsoft Azure Analytics is a collection of integrated cloud services from Microsoft that helps organisations process and analyse large amounts of data to gain valuable insights. These services include advanced analytics tools such as Azure Synapse Analytics, which offers unlimited scalability and powerful data exploration, Azure HDInsight, a managed Hadoop distribution for big data tasks, and Azure Databricks, an Apache Spark-based analytics platform. With Azure Analytics, users can benefit from machine learning, artificial intelligence and business intelligence platforms integrated into the Azure cloud to effectively collect, store, process and analyse their data. Azure Analytics also makes it possible to perform real-time analyses, which improves the responsiveness of companies to market changes and accelerates decision-making processes.
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Important analytics & AI tools in the Azure Cloud:
- Microsoft Fabric: An all-in-one enterprise analytics solution that covers everything from data movement and data science to real-time analytics and business intelligence. The solution offers a comprehensive suite of services (including data lake, data engineering and data integration in one place).
- Azure Synapse Analytics (formerly SQL Data Warehouse): An analytics service that combines big data integration, enterprise data warehousing and Big Data analytics.
- Azure HDInsight: A fully managed cloud service that enables the running of open source analytics frameworks such as Apache Hadoop, Spark, Kafka and HBase.
- Azure Databricks: An Apache Spark-based analytics platform optimised for Azure that supports collaborative data science and analytics.
- Azure Data Lake Analytics: An on-demand analytics job service that enables simplified data processing and management without the need to manage resources.
- Azure Stream Analytics: A real-time analytics and complex event processing service that enables large-scale data stream processing.
- Azure Data Explorer: A real-time big data analytics service optimised for telemetry and time series data.
- Azure Machine Learning: A cloud platform that enables developers and data scientists to build, train and deploy machine learning models.
- Azure Cognitive Services: A collection of AI services and cognitive APIs that let applications see, hear, speak, understand and interpret.
Overview
Evaluation
Our process begins with a detailed inventory of your current system landscape. We take the time to thoroughly understand your existing IT infrastructure in order to identify strengths and localise areas with potential for improvement.
Solution architecture
Planning and design of your target system landscape to fulfil the previously determined requirements and the associated business objectives. In addition to the seamless integration of existing systems, the focus is also on covering potential future requirements.
Integration with SAP systems/data
When developing your solution architecture, the primary goal is to integrate existing (SAP) systems in the best possible way in order to maximise the existing data treasure trove. We are experts in SAP processes and are therefore also very familiar with the resulting data and its structure.
Development
Of course, we also develop new applications or data models in the Azure applications. We are happy to involve you or your internal colleagues in the development process in order to ensure the transfer of expertise as early as possible.
Extension or migration
As soon as the new applications, structures and data models have been set up in Azure and are ready for use, the next step is to integrate them into existing (SAP) environments, expand them or replace them by migrating existing ones. Of course, we decide together which path you take.
Use of any frontend
The Azure Analytics and AI tools offer the option of connecting various front ends and using them for reports and analyses. In addition to common tools such as MS Power BI and Tableau, we can also use an add-on to enable reporting with the SAP Analytics Cloud for hyperscaler applications such as MS Azure.
Microsoft Azure Data & Analytics
Interested?
You want to set up a data lake, finally visualise all your company data independently using a front-end tool and/or take a professional approach to AI? Then the Microsoft Azure Cloud is the right way to go — and we — cobicon — are the right partner at your side. We will tackle the topic together with you — pragmatically, goal-orientated and without dogmatism. We will find the best way for you — whether it’s migration, side-by-side or a pure non-SAP strategy.
You need more information or have questions on this topic?
