What is Azure?

Azure is a Microsoft’s public cloud computing service where Customer don’t require to procure any traditional hardware or software. Azure services are Cost-effective, flexible, secure, scalable, reliable and subscription-based for which only pay for the actual consumption.

Azure provides a range of cloud services, including compute, data-prep, analytics, storage and networking. Azure offers 4 different forms of cloud computing

  • Infrastructure as a service (IaaS)
  • Platform as a service (PaaS)
  • Software as a service (SaaS)
  • Serverless (function as a service (FaaS) or runtime as a service (RaaS))

Cost Effective

No upfront cost of investment in procuring hardware’s and software’s, No termination fees, Pay as you Consume model make IT affordable.

Multiple Data Sources

Single Source of Truth is the most needed solution for Reporting and Analytics purpose, Azure Data factory an ETL services which can connect wide range of data sources helps in integrating and standardizing heterogeneous data sources.

Scalability

Scale up or down the resources in minutes. This gives more flexibility and guarantees performance.

Reliability

Cloud computing makes data backup, DR & business continuity easier and less expensive, ensures high availability.

Security

Strict compliances and access policies make data more safe, Advanced technologies prevent external threats.

Analytics

Comprises a comprehensive set of solutions for data warehousing, advanced analytics on big data and real-time streaming.

Integration

Many third-party vendors has license partnership with Microsoft Azure.

On-Demand Provisioning

On-Demand provisioning, any application can be created and de-commissioned at any point-in time.

Azure Data Engineer / Analytics Architecture

Areas of Expertise

Data Migration
Data Migration
Data Migration
Evaluate Organizations on their cloud maturity,
Data Migration
Evaluate Organizations on their cloud maturity,

Evaluate Organizations on their cloud maturity, define cloud strategy by choosing suitable cloud services and device process to migrate the existing systems to Azure cloud thus help customer realize their cloud journey. Also, deploy a Hybrid model in which fewer by migrating partial services to Azure cloud.

  • Azure Data Migrate Services
  • Azure Virtual Machines
  • Azure Storage Services (Blob, File, Table, Discs)
Azure Data Engineering
Azure Data Engineering
Azure Data Engineering
Business apps produce variety of huge volume transactional data.
Azure Data Engineering
Business apps produce variety of huge volume transactional data.
This data assets must be prepared for consumption. Data engineering is a proven process to identify, integrate, prepare, aggregate and store critical data in usable format. Alpharithm offers an end-to-end cloud data engineering solution which will assess, design, develop and fully managed.

Services:

  • Azure Data Factory (ELT/ETL)
  • Azure Databricks
  • Azure Event Hubs (Event ingestion Service)
  • Azure SQL Database
  • Azure Data Lake Storage
  • Azure Cosmos DB (No SQL)
Data Analytics
Data Analytics
Data Analytics
In this modern digital era data is an asset,
Data Analytics
In this modern digital era data is an asset,
turning them understandable for business users is the key challenge. Prepared data when consumed in an appropriate visualization tool will help business users gain deeper insights into complex datasets. Adopting modern reporting and analytics capabilities are key to success. Alpharithm help in identifying, designing sophisticated analytics system to enhance decision-making processes.

Services:

  • Power BI
  • Azure Synapse Analytics (formerly known as SQL Data Warehouse)
  • Azure Stream Analytics
  • Azure Data Lake Analytics
  • Azure Data Explorer
  • Azure Machine Learning
  • Azure Analysis Service
Data Quality & Governance
Data Quality & Governance
Data Quality & Governance
Data quality management and data governance are key aspects in success of any data initiative.
Data Quality & Governance
Data quality management and data governance are key aspects in success of any data initiative.
Poor quality data is unusable, also making data accessible to desired users without compromising security regulations and compliances is a challenging task. Organizations, need a structured approach to data quality management and data governance. Alpharithm leverages Azure services exclusively to help detect, alert data quality and compliance related issues.

Our Services:

  • Azure Active Directory
  • Azure Monitoring Services / Alerts / Insight Services
  • Azure Purview
  • Azure DevOps
  • Azure cloud Compliance and Security Management

Alpharithm Methodology

We at Alpharithm, approach Data Engineering and Analytics projects in a Step-by-Step manner to ensure Correctness in objective, On-time delivery, Stability, Usability and Scalable to accommodate future expansions.

Case Studies