The Azure cloud platform consists of more than 200 products and cloud services and is designed to develop new solutions. In this way, current challenges can be mastered and the path for the future can be paved. Applications can be developed, run, and managed across multiple clouds, on-premises, or at the edge. There is a choice of tools and frameworks.
The Microsoft Azure Platform has been around since 2010. It is one of the fastest growing cloud platforms. Analyst Gartner has seen Microsoft Azure as the world’s leading platform for infrastructure-as-a-service (IaaS) since 2015. Currently (2021), Microsoft Azure is available in 140 countries. In a global network with more than 60 nodes, a number of data centers ensure stable performance of the platform and its services.
Azure is not only GDPR compliant, but also certified according to the new international standard ISO/IEC 27701 (Privacy Information Management System PIMS).
There are many questions that a company has to ask itself in the course of its own digital journey. Data analytics forms the basis of digital transformation. What is cheaper for companies in the long term: on-premise or cloud? If cloud, then private, public or hybrid?
Companies often face the challenge of inadequate data management for their future plans. This problem is exacerbated by existing on-premise systems where corporate data has been stored, as they are very often costly and overloaded. Moving to the cloud leads to greater agility, cost efficiency and valuable insights – but only if the data can be easily accessed and managed.
The solution for secure cloud computing is the Microsoft Azure Cloud – a huge network of remote servers spread all over the world but connected to each other so that they can function as a single large ecosystem. This allows users to access their data anytime, anywhere. The Microsoft Azure cloud platform consists of more than 200 products and cloud services and is designed to help companies develop new solutions. With the Microsoft Azure Cloud Platform, companies can overcome all current challenges and pave the way for the future. Users are able to develop, run and manage applications in multiple clouds, on-premises or at the edge. You can use the tools and frameworks of your choice.
areto’s developed Microsoft Azure reference architecture offers many advantages.
The use of areto’s Microsoft Azure reference architecture provides customers with best practices for developing and operating reliable, secure, efficient and cost-effective systems in the cloud. Areto’s Microsoft Azure architecture solutions are consistently measured against Microsoft best practices in order to deliver the highest benefit to customers.
The areto Microsoft Azure reference architecture is based on five pillars: operational excellence, security, reliability, performance efficiency, cost optimization.
Optimal design of operation and monitoring of the systems as well as continuous improvement of supporting processes and procedures
Protection of information, systems, assets, risk assessments and risk mitigation strategies
Maximizing of ROI through the continuous process of improving the system throughout its lifecycle.
Ensure security, disaster recovery, business continuity as data is mirrored in multiple redundant locations.
Efficient use of computer resources, scalability to meet short-term requirement peaks, sustainability
Microsoft Azure SQL is a unified, high-performance SQL platform based on the Microsoft SQL Server engine with unlimited scalability and intelligent performance and security. It offers companies the opportunity to migrate existing applications without having to change them (Lift and Shift). Moving to Microsoft Azure SQL improves performance and enables the creation of highly scalable cloud services through the move to Microsoft Azure – because Azure is the best cloud for your mission-critical SQL Server workloads.
Azure Data Factory provides a code-free data integration and transformation layer that supports all digital transformation initiatives.
With Azure Data Factory, data can be collected data from on-premises, hybrid, and multicloud sources. The next step: Transform it into Azure Synapse Analytics.
Microsoft Azure Synapse Analytics is a central component of every areto Azure reference architecture, often in combination with the components Microsoft Azure SQL Server, Microsoft Azure Blob and Microsoft Power BI. Blob storage through Microsoft Azure Blob can be used to build a data lake or as a staging area to copy the data to Azure Synapse before loading. Azure Synapse is a distributed system for analyzing large amounts of data. It supports Massive Parallel Processing (MPP), which enables the execution of high-performance analyses.
Azure Synapse Analytics is an integrated enterprise analytics service that accelerates the collection of insights from data warehouses and big data systems. Azure Synapse Analytics combines the best technology from different areas: SQL technology for enterprisedata warehousing, Spark technology for bigdata, pipelines for data integration and ETL/ELT, and deep integration with other Azure services, i.e. PowerBI, Cosmos DB, and Azure Machine Learning.
Azure Blob Storage enables users to store and retrieve unstructured data at scale
Azure Blob Storage helps organizations create data lakes for their analytics needs. Azure Blob Storage provides storage to build powerful cloud-native and mobile apps. With Azure Blob Storage, organizations can optimize their costs with tiered storage for long-term data storage and flexible scaling for high-performance computing and machine learning workloads.
Unify self-service and enterprise analytics with Microsoft Power BI
With a single platform, all requirements of self-service and enterprise data analysis can be met. Benefit from powerful semantic models, an application lifecycle management (ALM) toolkit, an open connectivity framework, and precisely formatted paginated reports with a fixed layout.
Microsoft Azure Databricks provides three environments for developing data-intensive applications:
Databricks SQL provides an easy-to-use platform for analysts who want to create SQL queries for their data lake visualizations to explore query results, as well as dashboards.
Databrick’s Data Science Engineering provides an interactive workspace that enables collaboration between data engineers, data scientists, and machine learning engineers. For a big data pipeline, raw or structured data is collected in batches through Azure Data Factory in Azure or streamed in near real time using Apache Kafka, Event Hub, or IoT Hub. This data is stored in a data lake (Azure Blob Storage or Azure Data Lake Storage) for the long term.
Databrick’s Machine Learning is an integrated, end-to-end machine learning environment with managed services for experiment tracking, model training, feature development and management, and feature and model deployment.
With Microsoft Cognitive Services, AI is accessible to all developers and data scientists. With the Microsoft Cognitve Services models, a variety of use cases can be implemented. All a user needs is an API call to embed functions to see, hear, speak, search, understand and speed up difficult decisions in your apps. Enable developers and data scientists, regardless of their level of knowledge, to easily integrate AI capabilities into their apps.
Are you still at the beginning of your data journey, or are you looking for a digital sparring partner for complex projects? Areto’s workshops, training courses and coaching sessions offer you the opportunity to achieve inordinate impact without large investment. Whether virtual or on-site, they quickly show you what is possible in your company to generate real added value from data. Together, we develop innovative solutions for your company with which business can get off to a flying start. Benefit from the many years of practical experience of our experts in the fields of data strategy, data analytics, data science, artificial intelligence, data engineering. Quality, which is also reflected in the ISO certification.
Data Platform: 5-Day Strategy Workshop
The path to the cloud is an individual challenge for every company: Success depends on careful preparation: An accurate, realistic assessment of the organization’s status quo state as well as a common understanding of the target and the path required to achieve this.
BI Infrastructure Update: 1-week assessment
Together we develop a future-proof and scalable Microsoft Data Platform based on the current challenges. For this purpose, we use the most modern tools from Microsoft Azure and the Microsoft Power Platform.
On-Premises Cloud Migration: 1-Week Assessment
By migrating an existing on-premises business intelligence system to the cloud, it can be modernized and put on a flexible and scalable platform. The future architecture meets all the requirements of the organization and is verified by a PoC carried out jointly afterwards.
Quick Start Azure Data Factory
Introduction to the Azure Data Factory. As part of this briefing, you can get a brief introduction to the Azure Data Integration Service through an exemplary walk-through of the features and benefits of Azure Data Factory. Finally, an exemplary pipeline based on the areto reference architecture is set up.
Quick Start Azure SQL Database
As part of this briefing, you’ll get a brief introduction to Azure SQL Database through an exemplary walk-through of the capabilities and benefits of the database service. Finally, the exemplary structure and configuration of an Azure SQL Database based on the areto reference architecture follows.
Quick Start Azure Data Lake
Introducing Azure Blob Storage: This briefing will give you a walk-through of the features and benefits of an Azure Data Lake (Azure Blob Storage). Finally, the construction and configuration of an exemplary data lake based on the areto reference architecture follows.
Quick-Start Azure Synapse Analytics
As part of this briefing, you can expect a brief introduction to Azure Synapse Analytics through an exemplary walk-through of the features and benefits of this analytics service. Finally, the construction and configuration of an exemplary pipeline and storage in a Synapse SQL database based on the areto reference architecture follows.
Azure Data Platform PoC
Planning and implementation of a 1-week proof-of-concept around the introduction and operation of an Azure Data Platform. On the way to a modern data platform. Jointly develop the migration to a modern and scalable Azure Cloud Data Platform.
Are you already using cloud services? Or are you afraid you might lose control of your data? With the Microsoft Azure Cloud Platform, users can keep the data “on premise” locally. In the cloud, only the processing takes place, i.e. a hybrid cloud approach. Microsoft also supports a mix between Azure and other clouds.
To make it as easy as possible for users to manage their multicloud and hybrid cloud activities, Microsoft provides users with Microsoft Azure Arc. Azure Arc enables easier management, faster app development, and consistent Azure services. Easily organize, control, and protect Windows and Linux servers, SQL Server instances, and Kubernetes clusters in data centers, at the edge, and in multicloud environments in Azure. Design and build cloud-native apps anywhere without sacrificing centralized visibility and control. Get Azure innovation and cloud benefits by delivering consistent Azure applications, machine learning capabilities, and data services across any infrastructure of your choice.
Extend Azure services and capabilities to your preferred environment with Microsoft Azure Stack, from the data center to edge and remote locations. Hybrid and edge computing apps can be built, deployed, and run consistently across your IT ecosystem, and can be flexibly adapted to different workloads. Azure Stack is a portfolio of products that enable you to extend Azure services and capabilities into the environment of your choice, from the data center to edge locations and branch offices. Develop, deploy, and run hybrid and edge computing applications consistently and from anywhere.
Xtract IS for Azure ensures seamless integration between the SAP system and the Microsoft Azure SSIS Integration Runtime.
The principle is very simple: develop SSIS packages locally and execute them in the cloud. Incidentally, SAP connectivity is provided by the on-premises version of Xtract IS, which has been tried and tested for years. With the clever interface for the Azure cloud, deploying, scheduling and executing SSIS packages becomes very easy and automatic. Best of all, with Xtract IS for Azure, you can develop SSIS packages from scratch or use SSIS packages already created with Xtract IS.
With the Microsoft expert team from areto to the data driven company!
Find out where your company currently stands on the way to becoming a data-driven company.
We analyze the status quo and show you what potential exists.
How do you want to get started?
Free consulting & demo appointments
Do you already have a strategy for your future Micrsoft Data Analytics solution? Are you already taking advantage of modern cloud platforms and automation? We would be happy to show you examples of how our customers are already using areto’s agile and scalable Microsoft solutions.
Workshops / Coachings
In our Microsoft workshops and coaching sessions, you will gain the necessary know-how, e.g. for setting up a modern cloud strategy or IBCS-compliant reporting with Power BI . The areto Microsoft TrainingCenter offers a wide range of learning content.
Proof of Concepts
Microsoft has been awarded the 2021 Gartner Magic Quadrant™ for Analytics and Business Intelligence Platforms by Gartner® for the 14th consecutive year.
Gartner, Magic Quadrant for Analytics and Business Intelligence Platforms, 15. Februar 2021, James Richardson, Kurt Schlegel, Rita Sallam, Austin Kronz, Julian Sun
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