Implementing Modern Data Platform with Azure

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Drupal\dxpr_builder\Service\DxprBuilderService->loadCmsElement(Array, '', Array, Object) (Line: 1250)
Drupal\dxpr_builder\Service\DxprBuilderService->parseDocumentForCmsElements(Object, Array) (Line: 1085)
Drupal\dxpr_builder\Service\DxprBuilderService->parseForContent(Array, ) (Line: 333)
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Drupal\dxpr_builder\Plugin\Field\FieldFormatter\DxprBuilderFormatter->viewElements(Object, 'en') (Line: 91)
Drupal\Core\Field\FormatterBase->view(Object, 'en') (Line: 268)
Drupal\Core\Entity\Entity\EntityViewDisplay->buildMultiple(Array) (Line: 339)
Drupal\Core\Entity\EntityViewBuilder->buildComponents(Array, Array, Array, 'full') (Line: 281)
Drupal\Core\Entity\EntityViewBuilder->buildMultiple(Array) (Line: 36)
Drupal\block_content\BlockContentViewBuilder->viewMultiple(Array, 'full', NULL) (Line: 24)
Drupal\block_content\BlockContentViewBuilder->view(Object, 'full') (Line: 189)
Drupal\block_content\Plugin\Block\BlockContentBlock->build() (Line: 171)
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call_user_func_array('Drupal\block\BlockViewBuilder::preRender', Array) (Line: 111)
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Drupal\Core\Render\Renderer->doRender(Array) (Line: 493)
Drupal\Core\Render\Renderer->doRender(Array, ) (Line: 240)
Drupal\Core\Render\Renderer->render(Array) (Line: 475)
Drupal\Core\Template\TwigExtension->escapeFilter(Object, Array, 'html', NULL, 1) (Line: 92)
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Twig\Template->display(Array) (Line: 379)
Twig\Template->render(Array) (Line: 38)
Twig\TemplateWrapper->render(Array) (Line: 39)
twig_render_template('themes/custom/visionet/templates/page.html.twig', Array) (Line: 348)
Drupal\Core\Theme\ThemeManager->render('page', Array) (Line: 480)
Drupal\Core\Render\Renderer->doRender(Array, ) (Line: 240)
Drupal\Core\Render\Renderer->render(Array) (Line: 475)
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Twig\Template->display(Array) (Line: 379)
Twig\Template->render(Array) (Line: 38)
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Drupal\Core\Theme\ThemeManager->render('html', Array) (Line: 480)
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Drupal\Core\Render\Renderer->render(Array) (Line: 158)
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Drupal\Core\Render\Renderer->executeInRenderContext(Object, Object) (Line: 153)
Drupal\Core\Render\MainContent\HtmlRenderer->renderResponse(Array, Object, Object) (Line: 90)
Drupal\Core\EventSubscriber\MainContentViewSubscriber->onViewRenderArray(Object, 'kernel.view', Object)
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Data

Effective data management is a must-have for any firm that wishes to flourish in today’s data-driven world. However, managing and analyzing large amounts of data can be a complex and challenging task, which is why many organizations are turning to modern data platforms to help them gain insights from data and make informed decisions. Microsoft Azure is one such platform that offers a wide range of tools and services for building and deploying modern data platforms. With Azure, organizations can easily store, manage, and analyze large amounts of data, and also take advantage of advanced analytics capabilities by leveraging machine learning and artificial intelligence.

This blog will explore how organizations can leverage Microsoft Azure to implement a modern data platform that meets their data needs and helps them achieve their business goals.

Key features of Microsoft Azure

Azure offers Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Software as a Service (SaaS) offerings.
Multiple integration services are available with more than a 100 data sources, whether on-prem or cloud, including applications, databases, cloud storage, file systems, etc. Key integration services include Azure Data Factory, SSIS, Azure Logic Apps, etc.
High-performance storage capabilities that allow you to store large volumes of data in any format and provide scalable solutions. It also acts as a centralized repository for storing and analyzing data from multiple sources to gain valuable business insights. Some key services include Azure Data Lake, Azure Blob Storage, etc.
Flexible options for migrating and modernizing existing applications or building new applications in the cloud. Some of the key databases include Azure SQL, Azure Cosmos DB, SQL Server, etc.
Immeasurable analytics service which puts big data analytics, enterprise data warehousing, and data integration together as a solution. It enables serverless or dedicated data queries on your own terms. Some of the key analytics services include Azure Synapse Analytics, Azure Databricks, Power BI, etc.
Data privacy standards to meet regulatory requirements. Data governance has become a top-of-mind feature for almost every organization where data continuously moves across hybrid and multi-cloud environments. Key features for Data Governance include Dynamic Lineage of Data, Data Map, Data Catalogue, Data Policy, etc.

Key Benefits with Microsoft Azure

Lower cost: Azure provides the same and better services of a modern data platform at lower costs than competition. It further helps reduce the overall costs of an organization by providing solutions that help save operational costs.
Integration: A complete data ecosystem that also provides easy integration with other tools and technologies, whether they are cloud-based or on-prem.
Scalability: Users can scale the services easily as per their business needs, to cater to higher data volumes.
Innovation: Improved productivity with automation and focus on creating business values.
Agility: Easy and quick access to data from disparate sources, enabling you to anticipate change and empower faster decision-making with an integrated modern data platform that provides improved performance, security, and availability.
Continuous Improvement: Achieve continuous integration and continuous deployment in the business environment.
Security: Protect and govern the security and privacy of your data. It also helps comply with certain data security regulations such as HIPAA which helps protect health records, GDPR for the protection and privacy of EU data, and CCPA for California consumer privacy.

The Visionet Advantage

Visionet specializes in helping customers implement Modern Data Platforms. We use a variety of tools to integrate various applications and bring all data together in one place. This helps streamline business decision-making and planning and improves collaboration across all departments. With our approach, data is made accessible to business users based on their requirements, which helps to save both time and costs. Our solutions are designed to turn data into value and help businesses thrive in today's modern world where decision-making is data-driven.

Get a glimpse of our work in this eBook – a well-articulated compilation of four impactful success stories of our global industry; leaders from the healthcare, insurance, CPG, and supply chain industries. Each success story shows how a modern data platform has helped our clients drive informed decision-making, reduced time-to-market, and increased operational efficiency.

Below are some of the important services we have used to solve our customers' business problems:

Azure Data Factory – for integration, ingestion, and orchestration of data
Azure Data Lake Storage – for storing vast amounts of relational and non-relational data
Azure Synapse Analytics – to ingest, explore, prepare, transform, and manage data
Azure SQL Databases – for application
Azure Functions – for serverless computation
Azure Databricks – for big data processing
Azure Purview – for data governance, data mapping, data cataloguing, and data lineage
Power BI – for data visualization, reports, and dashboard development

Through our knowledge and experience, we can develop a cutting-edge data platform that fulfils your unique business requirements. From optimizing data storage to improving data security, we provide a comprehensive set of solutions, which enable you in removing points of friction between your application databases and analytics systems while automatically mapping and governing your full data estate. This helps organizations in making informed decisions and staying ahead of the competition. Contact us at Visionet to learn more about how we can help you achieve your data solutions by implementing Modern Data Platforms powered by Microsoft Azure to meet your specific business needs.

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6 min read

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