Microsoft Competence Center

Data Analytics-Strategy / Data Integration / Data Warehousing / Data Governance
Cloud Computing / Data Analytics / Data Science

Our Expertise

Strategy

Develop a future-proof Microsoft Analytics strategy with our customers. We advise them from the definition of suitable key figures, through the selection of the appropriate architecture and analytics solutions to the establishment of a Data Analytics Competence Center.

Data Integration

Load data from any source without sacrificing performance. Access internal and external data and gain complete business transparency in a simplified IT landscape.

Data Warehouse

The Microsoft Data Warehouse portfolio offers enterprises a variety of solutions that can be deployed on cloud, on-premise, and hybrid environments, as well as pre-built business content, integration support for all types of data, and more. areto offers many years of experience in setting up Data Warehouses and Analytical data platforms.

Data Governance

The company's success is secured through the meaningful networking of compliance, risk management and governance. In addition, the GRC approach can be simplified by integrating and automating existing Microsoft processes. Use areto ‘s ready-made Microsoft security concepts.

Data Analytics

areto has outstanding expertise in the introduction of Microsoft Business Intelligence solutions and the design of visualizations. In this way, users always have all the relevant information at their disposal for quick and well-founded decisions.

Cloud

The Azure cloud platform helps overcome current challenges and ensure success in the future. Develop, run, and manage applications across multiple clouds, public, private, or hybrid. Use the tools or frameworks of your choice.

Managed Self-Service-BI

Microsoft's solutions with convenient self-service BI solutions are the foundation for users’ to efficiently perform data analysis, analyze complex issues with just a few clicks, and share interactive and role-based stories across the enterprise. This relieves the IT department’.

Training & Coaching

Our Microsoft Training Center supports you in successfully using your Microsoft Analytics tools in your everyday work. Our trainers are software experts who bring you closer to the respective solution on the basis of individual training documents and best practice examples.

How to Start?
Building an Enterprise-Wide Data Analytics Platform with Microsoft

Every project is different, but there are similarities. We will show you areto’s best practice approach on the basis of a customer project. Based on our year long experience for customers’ to build a flexible & scalable data platform on Azure Business Intelligence solutions we have our standard for the Microsoft Data Platform. The specifications consist of a central data lake, various interfaces for data integration and output (API, flat files, SQL, email) as well as the integration of a data warehouse (DWH) including data warehouse automation (DWA), Databricks for big data and data science (also Azure AI Services) as well as Microsoft Power BI for reporting.

Strategic Consulting on the Microsoft Data Platform

With the areto strategy workshops, the digital journey of customers to the data-driven company begins. This is where the presented customer project begins. The areto strategy workshops lay the foundation for the development of a future-oriented data platform that will enable companies to react faster and more optimized to constantly changing market requirements in the future. By providing decision-relevant information at the right time, in the right place and the high scalability and performance of the Microsoft Data Platform, competitive advantages and market value are further exploited or increased.

Data Platform: 5-Day Strategy Workshop

The path to the cloud is an individual challenge for every company. Success depends on careful preparation of an accurate, realistic assessment of the organization’s current status as well as a common understanding of the target goal and the path required to achieve this.

More information can be found here…

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.

More information can be found here…

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.

More information can be found here…

Microsoft on-Premise or Cloud?

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. But what is cheaper for companies in the long term: on-premise or cloud? And if cloud, then private, public or hybrid?

Let’s take our exemplary customer project: The customer had the challenge of insufficient data management for their future plans. This problem was exacerbated by the existing on-premise systems in which the company’s data was stored, as they were costly and also often busy. Moving to the cloud leads to greater agility, cost efficiency and valuable insights – but only if your data can be easily accessed and managed.

The Data Platform - Deploy SQL Server On-Premises or in the Cloud!

Microsoft SQL Server on Microsoft Azure includes the Family of Microsoft SQL Cloud Databases with flexible options for migrating, modernizing, and developing applications. Ensure a consistent user experience across the Microsoft SQL portfolio and benefit from a variety of deployment options from the edge to the cloud.

Microsoft Azure SQL Edge is a robust Internet of Things (IoT) database for edge computing, combining features such as data streaming and time series with built-in machine learning and graph features. Extend Microsoft’s industry-leading SQL engine to edge devices for consistent performance and security across your entire database from the cloud to the edge.

Microsoft SQL Server On-Premises is more flexible than ever before. Customers can choose between different development languages, data types, deployment forms, and operating systems. The Enterprise Edition offers high performance for demanding and mission-critical database and BI requirements.

What is your Path to the Microsoft Data Analytics Platform?

On-premises

Use of the Microsoft On-Premises BI Stack (SQL Server with SSIS, Power BI Report Server, Optionally the Microsoft SQL Server Analysis Services).

Hybrid

Data storage on-premises and reporting in the cloud. Use the Microsoft On-Premises Stack in combination with Microsoft Power BI Services in the cloud. Create a secure connection between the two worlds. Benefit from the latest Power BI Cloud features!

Cloud

Harness the full potential of the Microsoft Data Analytics Platform in the Azure Cloud. Use areto’s Azure reference architecture for flexible and easily scalable solutions.

Cloud Computing with Microsoft Azure Cloud

Chose 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 one 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 Microsoft Azure Cloud Platform, the customer can now overcome all current challenges and pave the way for the future. The customer’s users can develop, run, and manage applications in multiple clouds, on-premises, or at the edge. Use the tools and frameworks based on your needs.

aretos Microsoft Azure Reference Architecture

areto‘s 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 benefits.

The areto Microsoft Azure reference architecture is based on five pillars: operational excellence, security, reliability, performance efficiency, cost optimization.

Operational excellence
Optimal design of operation and monitoring of the systems as well as continuous improvement of supporting processes and procedures.

Security
Protection of information, systems, assets, risk assessments and risk mitigation strategies.

Cost optimization
Maximizing ROI through the continuous process of improving the system throughout its lifecycle.

Reliability
Ensure security, disaster recovery, business continuity as data is mirrored in multiple redundant locations.

Performance efficiency
Efficient use of computer resources, scalability to meet short-term requirement peaks, sustainability.

The Basis: Microsoft Azure SQL

We chose a unified, high-performance SQL platform based on the Microsoft SQL Server engine with unlimited scalability and intelligent performance and security. This offeres the possibility to migrate existing applications unchanged. Moving to Microsoft Azure SQL improves performance and enables the creation of highly scalable cloud services – because Azure is the best cloud for your mission-critical SQL Server workloads.

Data Integration: Microsoft Azure Data Factory

Microsoft Azure Data Factory is a data integration solution – a fully managed, serverless data integration service. Microsoft Azure Data Factory not only offers the ability to visually integrate data sources, but also more than 90 integrated, maintenance-free connectors – without incurring additional costs. Therefore, ETL and ELT processes can be created effortlessly and without code in an intuitive environment, or work with the company’s code. Another reason for choosing Microsoft Azure Data Factory is the good connection to Microsoft Azure Synapse Analytics.

Learn more about Microsoft Azure Data Factory

Building a Cloud Data Warehouse, Data Lake, Data Lakehouse

By choosing a cloud-based Microsoft Data Analytics Platform, our clients ensure that data and data analytics become a central part of their company’s strategy. The investment in cloud-based data management, data warehousing and data lakes eliminates existing data silos and optimizes the flow of data and information in the company.

When moving workloads to the cloud, it is taken into account from the outset that the amount of data and the number of users will continuously increase. Another focus is on ensuring data quality. In the projects, our customers decided to build a cloud data warehouse to modernize their enterprise data and analytics environment. The Microsoft Data Platform architecture proposed by areto provides metadata-based functions for intelligent data integration, data quality and governance in order to make the most of the advantages of Microsoft Azure. With automatic, intelligent cloud data management, manual effort is reduced, data transparency is increased and scalability is ensured. areto’s Microsoft Azure Reference Architecture provides cloud-native capabilities that allow users to perform data profiling and quickly identify, resolve, and monitor data quality issues before transferring their data.

Data Vault Automation Solutions
in the areto Microsoft Azure Reference Architectur

In the interest of our customers, we ensure that data integration is standardized as much as possible. The proliferation of Data Vault as a data modeling method for the cloud data warehouse has led to the development of numerous Data Vault automation solutions. The combination of Data Vault automation, analytical databases and areto’s technical expertise leads to high time and cost savings. We offer market-leading solutions from our partners WhereScape, Data Vault Builder and Matillion or our open source solution areto Data Chef, which we have already learned to appreciate and successfully use in many customer projects.

Data Analysis: Azure Synapse Analytics

In our customer projects, an architecture with Microsoft Azure Synapse Analytics as a central application and the components Microsoft Azure SQL Server, Microsoft Microsoft Azure Blob and Microsoft Power BI are usually chosen. Because the most important source data is usually in an on-premises SQL Server database, it is often decided to migrate to Microsoft Azure SQL Server. Blob storage through Microsoft Azure Blob is commonly used as the 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 insights from data warehouses and big data systems. Azure Synapse Analytics combines the best technology from different areas: SQL technology for enterprise data warehousing, Spark technology for bigdata purposes, pipelines for data integration and ETL/ELT, and deep integration with other Azure services, e.g. PowerBI, Cosmos DB, and Azure Machine Learning.

Learn more about Microsoft Azure Synapse Analytics

Reporting & Analytics

Unify self-service and enterprise analytics with Microsoft Power BI
With a single platform, meet all the requirements of your self-service and enterprise data analysis. Benefit from powerful semantic models, an application lifecycle management (ALM) toolkit, an open connectivity framework, and precisely formatted paginated reports with a fixed layout.

Learn more about Microsoft Power BI

IBCS-compliant Reporting with Microsoft Power BI

The International Business Communication Standards (IBCS®) are practical rules for designing reports, presentations, dashboards and the charts and tables they contain. The standards involve the conception of content, visual perception and the application of semantic notation. The advancement of the IBCS® standards is an ongoing process driven by the non-profit IBCS Association. With our partners graphomate and Zebra BI create your Microsoft Power BI Reporting in the IBCS standard.

Data Science and Machine Learning with Microsoft

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.

Learn more about Microsoft Azure Databricks

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 users need 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.

Microsoft Workshops / Coachings / Know-how-Transfer

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 the opportunity to achieve a great impact without a high investment. Whether virtual or on-site, they quickly show you what is possible in your company to generate real added value from data. We develop innovative solutions for your company with which business can get off to a flying start together. 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. Top quality, which is also reflected in the ISO certification of our TrainingCenter.

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.

More information can be found here…

BI Infrastructure Update: 1-week assessment

We will develop a future-proof and scalable Microsoft Data Platform based on the current challenges together. For this purpose, we use the most modern tools from Microsoft Azure and the Microsoft Power Platform.

More information can be found here…

On-Premises Cloud Migration: 1-Week Assessment

More information can be found here…

Quick Start Azure Data Factory

Introduction the Azure Data Factory. As part of this briefing, 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.

More information can be found here…

Quick Start Azure SQL Database

As part of this briefing, 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 is set up.

More information can be found here…

Quick Start Azure Data Lake

Introducing Azure Blob Storage: This briefing will get 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 is set up.

More information can be found here…

Quick-Start Azure Synapse Analytics

As part of this briefing, get 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 is set up.

More information can be found here…

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.

More information can be found here…

Why Microsoft as a Data Analytics Platform ?

Microsoft has been recognized by Gartner® in the 2021 Gartner Magic Quadrant™ for Analytics and Business Intelligence Platforms for the 14th consecutive year.

Gartner, Magic Quadrant for Analytics and Business Intelligence Platforms, Feb. 15, 2021, James Richardson, Kurt Schlegel, Rita Sallam, Austin Kronz, Julian Sun.

Gartner does not endorse any vendor, product or service in its publications. Nor does the institute recommend that technology users select only those vendors with the highest ratings or other labels. Gartner’s research reflects the opinions of Gartner Research and should not be construed as a representation of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including all warranties of merchantability or fitness for a particular purpose.

With the Microsoft expert team from areto to the data driven company!

Overtake the competition by making faster and better decisions!

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

Is Azure right for us? Are the framework conditions suitable for it? What prerequisites need to be created? Proof of concepts (POCs) answer these and other questions. This way, you are well prepared for your project.

Leverage your data. Discover opportunities. Gain new insights.

We look forward to hearing from you

Florian Grell
Teamlead Microsoft
Phone: +49 221 66 95 75-0
E-mail: Florian.Grell@areto.de

Microsoft Competence Center

Our Expertise

Strategy

Data Integration

Data Warehouse

Data Governance

Data Analytics

Cloud

Managed Self-Service-BI

Training & Coaching

How to Start?
Building an Enterprise-Wide Data Analytics Platform with Microsoft

Strategic Consulting on the Microsoft Data Platform

Microsoft on-Premise or Cloud?

The Data Platform - Deploy SQL Server On-Premises or in the Cloud!

What is your Path to the Microsoft Data Analytics Platform?

Cloud Computing with Microsoft Azure Cloud

aretos Microsoft Azure Reference Architecture

The Basis: Microsoft Azure SQL

Data Integration: Microsoft Azure Data Factory

Building a Cloud Data Warehouse, Data Lake, Data Lakehouse

Data Vault Automation Solutions
in the areto Microsoft Azure Reference Architectur

Data Analysis: Azure Synapse Analytics

Reporting & Analytics

IBCS-compliant Reporting with Microsoft Power BI

Data Science and Machine Learning with Microsoft

Microsoft Workshops / Coachings / Know-how-Transfer

Why Microsoft as a Data Analytics Platform ?

Overtake the competition by making faster and better decisions!

Leverage your data. Discover opportunities. Gain new insights.

We look forward to hearing from you

areto Blog

Expertise

Expertise

Links

Microsoft Competence Center

Our Expertise

Strategy

Data Integration

Data Warehouse

Data Governance

Data Analytics

Cloud

Managed Self-Service-BI

Training & Coaching

How to Start?Building an Enterprise-Wide Data Analytics Platform with Microsoft

Strategic Consulting on the Microsoft Data Platform

Microsoft on-Premise or Cloud?

The Data Platform - Deploy SQL Server On-Premises or in the Cloud!

What is your Path to the Microsoft Data Analytics Platform?

Cloud Computing with Microsoft Azure Cloud

aretos Microsoft Azure Reference Architecture

The Basis: Microsoft Azure SQL

Data Integration: Microsoft Azure Data Factory

Building a Cloud Data Warehouse, Data Lake, Data Lakehouse

Data Vault Automation Solutionsin the areto Microsoft Azure Reference Architectur

Data Analysis: Azure Synapse Analytics

Reporting & Analytics

IBCS-compliant Reporting with Microsoft Power BI

Data Science and Machine Learning with Microsoft

Microsoft Workshops / Coachings / Know-how-Transfer

Why Microsoft as a Data Analytics Platform ?

Overtake the competition by making faster and better decisions!

Leverage your data. Discover opportunities. Gain new insights.

We look forward to hearing from you

areto Blog

Expertise

Expertise

Links

How to Start?
Building an Enterprise-Wide Data Analytics Platform with Microsoft

Data Vault Automation Solutions
in the areto Microsoft Azure Reference Architectur