Azure Big Data Benefits and Insights

Why use Azure Big Data?

Key differentiators & advantages of Azure Big Data

Customize Data Security: Provide security capabilities according to the customer’s requirements. Use different mechanisms and disk encryption to enable additional security.
Improve Data Resiliency: Default resiliency levels, also called locally redundant storage, store data by saving three copies in the same data center to ensure data availability during hardware failure.
Support Automation: Automate repetitive tasks to increase speed during app delivery. Manage complex and large applications using frameworks like PowerShell, BASH and REST APIs.
Highly Scalable: Handle large businesses that fluctuate in size and offer pay-as-you-go services that are adjustable per business requirements.
Free Trial: Provide free service for one year with credits of $200. Credit usage ends 30 days after registration.

Industry Expertise

The vendor provides cloud computing services to industries like information and technology, construction, hospitals and healthcare, retail, real estate and more.

Key Features

Hybrid Architecture: Use multiple workload clusters to migrate on-premise. Store enterprise business requirements like data tiering, compression and archiving for capacity management.
- Deduplication: Identify duplicate data using hash keys and metadata map. Optimize storage capacity usage with compression and deduplication.
- Automated Data Tiering: Automatically place data on cloud storage, SSD and HDD tiers through usage patterns. Frequently used data is found in the SSD tier and less frequently in HDD or cloud storage tiers.
BCDR Integration: Integrate storage with BCDR for backup and disaster recovery. Create backup copies, folders or on-premises files for future use.
Data Management: Store and manage over 1TB of data-intensive queries on datasets using storage options such as:
- Table Storage: Provide streamlined access to loosely structured data, XML files and REST services.
- Blob Storage: Handle and store large amounts of unstructured data.
- SQL Server: Manage extra management work from the database server and virtual machine that runs the server.
- SQL Database: Leverage Microsoft’s support through their database software and hardware that they manage.
Single-Pane Operation: OMS connects multiple data sources and analyzes logs into a single-pane in a hybrid environment. Provide better visibility and access valuable information about the infrastructure — hosted, on-premise or on the cloud.
Deployment Models: Manage, monitor and deploy all services for cloud resources. It consists of two deployment models:
- Azure Resource Manager: Handle, manage and monitor solutions in multiple groups while providing benefits like repeated deployment, defining dependencies and access control to all resource groups.
- Classic Deployment Model: Manage and track virtual machines and SQL databases individually. Create each resource independently to deploy a solution.

Limitations

At the time of this review, these are the limitations according to user feedback:

Accessibility for new SMBs and startups could be an issue.
Data access is a hindrance in certain regions.
Single vendor strategy might be risky for certain SMBs.

Suite Support

Email: Not specified.

Phone: Not specified.

Training: Self-paced learning, free and instructor-led paid certifications, live and recorded videos. Gain access to the self-service resources, including videos, support plans, FAQs, documentation and guides to resolve queries. Stay connected with the vendor’s community support for technical questions.

Tickets: Submit a ticket on the support page.

Azure Big Data Reviews & Pricing

What is Azure Big Data?

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