Microsoft Fabric: key components, benefits and challenges
Microsoft Fabric stands out with simplicity. Microsoft’s teams created a software model, which can diminish the time you spend on understanding data processes, insight and analysis. There’s no longer a need to remember how licensing of Azure Synapsis works together with Azure data and Power BI. Fabric makes it simple.
Long story short, Microsoft Fabric is a cloud-based SaaS (Software as a service), which offers efficient analysis and data tools that organizations depend on. We can include Power BI, Data Activator and Synapse Data Engineering and many more.
What is Microsoft Fabric?
In the last years, businesses have encountered diversified difficulties regarding fragmentation and the complexity of processes, constituting an issue at an insight level. Processes about the integration of varied products, security management or the data flow control that have the capacity to consume resources and time. For this reason Microsoft Fabric was built around one fundamental purpose, that is to allow end-to-end analysis, which stems from data-collection or insight directly from the companies.
Microsoft Fabric allows the adequate integration with other services, making data accesible to users and using AI to boost productivity. Microsoft Fabric approaches these challenges through the integration of Azure and open-source capabilities at the level of Power BI ecosystem, that includes Azure Data Factory, Azure Synapse Analytics, Apache Spark and Delta Lake.
Microsoft Fabric was under development for a couple of years, leading to its capacity to introduce a new unified SaaS concept, similar to Microsoft Office, where every tool has an optimized experience, but all share a common foundation. It offers optimized tools for different analysis objectives, while it also provides for a common foundation for integration, storage capacity, security management, collaboration, workspace and compliance.
For starters, data from a lake architecture represent the foundation based on which all Fabric services are built. Microsoft Fabric Lake (a.k.a. OneLake) is structured on Fabric services and it offers a unified storage location for every data from a company.
OneLake has similar features with those you can use in Microsoft OneDrive and offers unified SaaS lake data for the entire organization. OneLake extracts disparate storage locations in a common lake and a single data copy, enabling individual units or departments to manage data while they facilitate data-discovery, sharing and collaboration within the company.
OneLake provides data unification and advanced security, which are integrated in the same data lake through which you can gain efficient solutions. OneLake has certain features for quick commands. These allow the effective distribution of data among users and apps within the company.
Microsoft Fabric: key components
Data projection. It plays a huge role in the democratization of data by using a lakehouse model. Moreover, the data integration with Data Factory enables both the planning and orchestration of notes.
Data Factory. It offers more than 200 native connectors for data connection from cloud-based and on-premises sources.
Data science. It offers assistance in the creation, implementation and operationalization of machine learning models for Microsoft Fabric. An important characteristic comprises interactions with Azure Machine Learning by monitoring and rolling models. It empowers data analysts to enhance organizational data through predictions that analysts can incorporate in BI reports.
Data Warehouse. It provides performance and SQL scalability at a high level. It disposes of the complete separation between computerization and storage for the independent scalability and data storage in an open Delta Lake format.
Real-time Analysis. Observational data, which has been seized from various sources including applications, IoT devices, human interactions and many more, represents one of the fastest and under development data categories.
Power BI. Famed for an intelligent global platform for companies, Power BI enables company owners to access Fabric data in a more intuitive and prompt way, allowing them to take decisions based on the collected data.
Microsoft Fabric: benefits
Some of the benefits you can take advantage of after the implementation of Microsoft Fabric in your company are:
- • It reduces the necessity of copying data for different OneLake solutions.
- • It empowers company users, in a way data specialists can focus on complex objectives such as machine learning or various projects about data science.
- • Reduce price models complexity by introducing universal computing competencies.
- • It includes data analysis platforms such as Azure Data Factory, Data Explorer and Apache Spark, all integrated in Microsoft Fabric as an additional package in SaaS.
- • It uses the open-source document format and Delta Lake.
- • It simplifies the model architecture and gains punctual, concrete insight.
Microsoft Fabric: challenges
Some of Microsoft Fabric challenges are:
- • The architectural complexity becomes a challenge because of the progress and the innovations from a single data domain, artificial intelligence, analysis and database.
- • Data fragmentation because of high data flow from different systems.
- • Countless products which need an extensive integration, diverse teams and abilities to be managed.
- • Security management, which appears at the same time with the administration of more products.
- • The management of complex costs. A lot of organizations have migrated toward cloud in the last years and a lot of PAYG (pay-as-you-go) models are difficult to comprehend.
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